Statistics of the followers of a few tweeters

by plainspeak


I follow a few people on twitter and I wanted to profile their followers. So, I wrote a perl script using Net::Twitter module(from CPAN) and generated the reports given below. Appreciate any feedback. I tweet at http://twitter.com/raksopenmind

The handles analysed are:

amishra77
auldtimer
bdutt
DilliDurAst
offstumped
PM0India
prasannavishy
realitycheckind
sagarikaghose
swamy39
swaraj_india

Handle = amishra77.txt

Number of followers = 2359

Percentage of followers, Location{Have taken only followers with non blank location into consideration}
12.2,India
9.1,New Delhi
7.4,Mumbai
6.5,Bangalore
2.5,Chennai
2.0,Pune
1.6,Hyderabad
1.1,Kolkata
1.0,Ahmedabad
0.8,Usa
0.6,Dubai
0.6,Lucknow
0.5,Singapore
0.5,New York
0.5,Surat
0.4,Trivandrum
0.4,Noida
0.4,Gurgaon
0.4,Nagpur
0.4,Mangalore
0.4,Chandigarh
0.4,Bhavnagar
0.4,Bhubaneswar
0.4,Coimbatore
0.3,Lahore
0.3,Everywhere
0.3,Gujarat
0.3,Jaipur
0.3,Hong Kong
0.3,London
0.2,Toronto
0.2,Bahrain
0.2,Chicago
0.2,Indore
0.2,Agra
0.2,Patna
0.2,Jammu
0.2,Mumbai India
0.2,Allahabad
0.2,Jodhpur
0.2,Houston
0.2,Gwalior
0.2,San Diego
0.2,Dhaka
0.2,United Kingdom
0.2,Dehradun
0.2,Ramanathapuram
0.2,Sydney
0.2,Vadodara
0.2,Guwahati
0.2,Karachi
0.2,Germany
0.2,Us
0.2,Kerala
0.2,Indiana
0.1,Jammu And Kashmir
0.1,Bangladesh
0.1,Islamabad
0.1,Kalol
0.1,Washington
0.1,Boston
0.1,Tampa
0.1,Kanpur
0.1,New Delhi (India)
0.1,Ohio
0.1,Planet Earth
0.1,Worldwide
0.1,Uk
0.1,Kolkata India
0.1,Vashi
0.1,Odisha
0.1,Punjab
0.1,Srinagar
0.1,Shimla
0.1,Jhansi
0.1,Varanasi
0.1,Nepal
0.1,Belgaum
0.1,Http://Satyameva-Jayate.Org
0.1,Akhand Bharat
0.1,Washington Dc
0.1,Velachha
0.1,Milky Way
0.1,Rajkot
0.1,Mp
0.1,Kochi
0.1,Vadnagar
0.1,Mars
0.1,B\’Lore
0.1,Gandhinagar
0.1,Edison
0.1,South Africa
0.1,Guntur
0.1,Anywhere
0.1,Panun Kashmir
0.1,Illinois
0.1,Birmingham
0.1,Global
0.1,West Midlands

% of followers,followers_count of follower
4.2,<=0
10.7,>0 && <=10
7.6,>10 && <=20
15.3,>20 && <=50
30.8,>50 && <=200
25.1,>200 && <=1000
5.0,>1000 && <=5000
0.7,>5000 && <=25000
0.6,>25000 && <=200000
0.1,>200000 && <=100000000

% of followers,statuses_count of follower
3.6,<=0
10.9,>0 && <=10
4.1,>10 && <=20
6.4,>20 && <=50
12.1,>50 && <=200
21.6,>200 && <=1000
24.5,>1000 && <=5000
14.0,>5000 && <=25000
2.8,>25000 && <=200000

% of followers,last status(of follower) created at(Number of days from now)
10.8,undef
46.5,<=7
13.8,>7 && <=30
9.9,>30 && <=90
13.6,>90 && <=365
4.1,>365 && <=730
1.2,>730 && <=1095

% of followers,account(of follower) created at(Number of days from now)
0.6,<=7
1.0,>7 && <=30
3.3,>30 && <=90
22.2,>90 && <=365
22.4,>365 && <=730
33.1,>730 && <=1095
17.3,>1095 && <=2200

% of followers having certain pattern in their bio’s,pattern
12.4,India
7.4,Love
6.2,Hindu
4.2,Proud
4.2,Politics
3.4,Engineer
3.3,Nationalist
3.1,News
3.0,Life
2.6,Music
2.4,Media
2.4,Student
1.9,BJP
1.9,Hate
1.8,Professional
1.8,Modi
1.6,Entrepreneur
1.2,Secular
1.0,Software
1.0,Junkie
0.9,Congress
0.8,NaMo
0.8,Marketing
0.8,Corruption
0.8,Economics
0.7,sickular
0.6,Pseudo
0.6,Paid
0.4,techie
0.2,Pakistan
0.1,reservation
0.0,dynasty
0.0,merit

Most occuring words in bio’s of the followers
% of followers having certain word in descripton,word(counted more than once if it exists in the bio of a user)
7.2,Indian
6.4,India
5.4,Hindu
4.7,Proud
4.7,Love
4.3,Politics
3.2,Nationalist
2.8,News
2.8,Life
2.8,Engineer
2.7,Com
2.5,Right
2.5,Follow
2.4,No
2.4,Fan
2.4,Music
2.4,Media
2.3,Student
2.3,Social
2.2,Http
2.2,Lover
2.1,Have
2.1,Cricket
1.9,Bjp
1.9,World
1.8,Writer
1.8,Twitter
1.8,Free
1.7,Reader
1.7,Professional
1.7,Personal
1.6,Do
1.6,People
1.6,Political
1.6,Can
1.5,More
1.5,Good
1.5,Blogger
1.5,Www
1.4,Entrepreneur
1.4,Will
1.4,Man
1.4,Views
1.4,Tweets
1.4,Just
1.4,Hate
1.4,Working
1.4,Loves
1.3,Journalist
1.3,Anti
1.3,Always
1.3,Consultant
1.3,Modi
1.3,New
1.2,Enthusiast
1.2,Profession
1.2,Time
1.2,Business
1.2,Get
1.1,Believe
1.1,Mba
1.1,Very
1.1,Supporter
1.1,Simple
1.1,See
1.1,Make
1.1,Tech
1.1,Best
1.1,Know
1.1,Person
1.1,Photographer
1.0,Here
1.0,Now
1.0,Marketing
1.0,Interested
1.0,Congress
1.0,Software
1.0,Thinker
1.0,History
1.0,Bcd
1.0,Want
0.9,Way
0.9,Work
0.9,Country
0.9,Bharat
0.9,Don
0.9,Trying
0.9,Hard
0.9,Truth
0.9,Narendra
0.9,Activist
0.9,Junkie
0.9,Tweet
0.8,Interest
0.8,Passion
0.8,Delhi
0.8,Passionate
0.8,Hi
0.8,Own
0.8,Read

% of followers in time_zone,time_zone{Have taken only followers with non blank time_zone}
27.1,New Delhi
16.2,Mumbai
15.0,Hawaii
12.7,Chennai
3.3,Eastern Time (US & Canada)
3.3,Kolkata
3.1,Central Time (US & Canada)
2.8,Pacific Time (US & Canada)
2.8,Quito
2.0,London
1.2,Alaska
1.0,Abu Dhabi
0.8,Islamabad
0.7,Mountain Time (US & Canada)
0.6,Singapore
0.6,Indiana (East)
0.4,Sydney
0.4,Atlantic Time (Canada)
0.4,Berlin
0.3,Athens
0.3,Amsterdam
0.3,Riyadh
0.3,Arizona
0.3,Karachi
0.3,Melbourne
0.2,Hong Kong
0.2,Central America
0.2,Bangkok
0.2,Jakarta
0.2,Baghdad
0.2,Kathmandu
0.2,Greenland
0.1,Canberra
0.1,Muscat
0.1,Madrid
0.1,Brisbane
0.1,Kuwait
0.1,Kuala Lumpur
0.1,Monrovia
0.1,Tashkent
0.1,Tehran
0.1,Tokyo
0.1,Dublin
0.1,Osaka
0.1,Nairobi
0.1,Almaty
0.1,Wellington
0.1,Chongqing
0.1,Saskatchewan

Handle = auldtimer.txt

Number of followers = 1048

Percentage of followers, Location{Have taken only followers with non blank location into consideration}
11.0,India
9.2,Bangalore
7.3,Mumbai
6.9,New Delhi
4.5,Chennai
2.5,Hyderabad
2.0,Pune
1.4,Kolkata
1.0,Ahmedabad
0.8,Germany
0.7,Everywhere
0.6,New York
0.6,Gujarat
0.6,Trivandrum
0.6,Usa
0.6,London
0.6,Surat
0.6,Coimbatore
0.6,Hamburg
0.4,Nagpur
0.4,California
0.4,Chandigarh
0.4,Gurgaon
0.3,Indore
0.3,Agra
0.3,Mangalore
0.3,Uae
0.3,Planet Earth
0.3,Bhubaneswar
0.3,D\X{Fc}Sseldorf
0.3,Noida
0.3,Dresden
0.3,Guwahati
0.3,Chicago
0.3,Http://Satyameva-Jayate.Org
0.3,Velachha
0.3,Karachi
0.3,Singapore
0.3,Dhaka
0.3,Tirupur
0.3,Tirupati
0.3,Bhaarat
0.3,United Kingdom
0.3,Amsterdam
0.3,Hyderabad India
0.1,Shadows
0.1,Bandung
0.1,Raalte
0.1,Delaware
0.1,@ Feet Of My Dear Brahmam
0.1,Sunnyvale
0.1,Universal
0.1,Jacksonville
0.1,Karnataka
0.1,Goa
0.1,Colorado
0.1,Lindenberg
0.1,Meerut
0.1,South Africa
0.1,Muzaffarpur
0.1,World Citizen
0.1,Banglore
0.1,Khazad Dum
0.1,Dehradun India
0.1,Nyc
0.1,Belgium For Now
0.1,Maldives
0.1,Nairobi
0.1,Bhootalam
0.1,Ghatkopar (W)
0.1,Japan
0.1,Bhaarat Atleast In Spirit 🙂
0.1,Gorakhpur
0.1,India New Delhi
0.1,Phoenix
0.1,Chennai – India
0.1,In Foren Lands
0.1,Bits-Pilani
0.1,Gurgaon / New Delhi
0.1,Durg
0.1,Antarctica
0.1,Boston
0.1,Eluru/Mysore – India
0.1,Zittau
0.1,Syn City
0.1,Zurich
0.1,T -6.368913
0.1,Mum-Bai
0.1,Anywhere
0.1,Paris Plaza
0.1,Madarasapattinam
0.1,Lynchburg
0.1,Cold
0.1,Manchester Uk
0.1,Amdavad | India
0.1,Mandovia
0.1,Navi Mumbai
0.1,Worldwide
0.1,\X{Dc}T: 18.9949207

% of followers,followers_count of follower
1.1,<=0
8.0,>0 && <=10
5.7,>10 && <=20
14.7,>20 && <=50
29.9,>50 && <=200
31.5,>200 && <=1000
8.4,>1000 && <=5000
0.4,>5000 && <=25000
0.2,>25000 && <=200000
0.1,>200000 && <=100000000

% of followers,statuses_count of follower
2.9,<=0
8.7,>0 && <=10
2.8,>10 && <=20
5.2,>20 && <=50
11.5,>50 && <=200
21.3,>200 && <=1000
24.0,>1000 && <=5000
18.2,>5000 && <=25000
5.4,>25000 && <=200000

% of followers,last status(of follower) created at(Number of days from now)
11.2,undef
49.9,<=7
13.0,>7 && <=30
7.2,>30 && <=90
12.3,>90 && <=365
5.2,>365 && <=730
1.0,>730 && <=1095
0.2,>1095 && <=2200

% of followers,account(of follower) created at(Number of days from now)
0.1,<=7
0.5,>7 && <=30
2.3,>30 && <=90
14.6,>90 && <=365
27.0,>365 && <=730
34.5,>730 && <=1095
21.0,>1095 && <=2200

% of followers having certain pattern in their bio’s,pattern
11.6,India
7.0,Hindu
6.2,Love
4.0,Politics
3.6,News
3.4,Life
3.1,Proud
2.9,Nationalist
2.6,Music
2.6,Engineer
2.1,Student
2.0,Media
1.8,BJP
1.6,Professional
1.5,Entrepreneur
1.3,Junkie
1.2,Congress
1.2,Hate
1.2,NaMo
1.1,Secular
1.0,Modi
0.9,Economics
0.9,Corruption
0.7,Pseudo
0.7,sickular
0.6,Software
0.3,dynasty
0.3,Paid
0.3,Marketing
0.3,techie
0.2,reservation
0.1,merit

Most occuring words in bio’s of the followers
% of followers having certain word in descripton,word(counted more than once if it exists in the bio of a user)
6.2,Indian
6.1,Hindu
5.8,India
4.0,Politics
4.0,Com
3.6,News
3.6,Proud
3.6,Http
3.1,Life
3.1,Love
3.1,Right
2.9,Nationalist
2.8,Www
2.7,Fan
2.5,Follow
2.5,Music
2.3,Just
2.2,Engineer
2.2,Lover
2.1,Good
2.1,Tweets
2.0,Interested
2.0,Media
2.0,Student
1.9,Bjp
1.9,Cricket
1.9,Live
1.8,No
1.8,Time
1.8,Free
1.8,Political
1.7,Man
1.7,Anti
1.7,Here
1.7,Twitter
1.6,Social
1.6,Working
1.6,More
1.5,Truth
1.5,Professional
1.5,Congress
1.5,Und
1.5,Know
1.5,History
1.5,Entrepreneur
1.5,World
1.4,Dreamer
1.4,New
1.4,Views
1.3,Personal
1.3,Movies
1.3,Tech
1.3,Tweet
1.2,Always
1.2,Journalist
1.2,Do
1.2,Believe
1.2,Fc
1.2,Loves
1.2,Writer
1.2,Oldtimer
1.2,Junkie
1.2,Can
1.1,Has
1.1,Classic
1.1,Get
1.1,Have
1.1,Own
1.1,Consultant
1.1,Nation
1.1,Blogger
1.1,People
1.1,Interest
1.1,Every
1.0,Human
1.0,Non
1.0,Will
1.0,Passion
1.0,Travel
1.0,Supporter
1.0,Profession
1.0,Market
1.0,Simple
1.0,Movie
1.0,Rts
1.0,Namo
1.0,Books
1.0,Food
1.0,Patriot
1.0,Current
1.0,Centre
1.0,Avid
1.0,Bharatiya
1.0,Day
1.0,Thoughts
1.0,Enthusiast
1.0,Business
1.0,Big
1.0,See
1.0,Technology

% of followers in time_zone,time_zone{Have taken only followers with non blank time_zone}
22.5,New Delhi
15.9,Mumbai
14.0,Chennai
13.5,Hawaii
4.2,Eastern Time (US & Canada)
3.4,Berlin
2.9,Central Time (US & Canada)
2.9,Kolkata
2.5,Quito
2.3,Pacific Time (US & Canada)
1.8,Alaska
1.8,Greenland
1.4,Amsterdam
1.3,London
1.0,Mountain Time (US & Canada)
0.9,Singapore
0.7,Abu Dhabi
0.5,Riyadh
0.4,Dhaka
0.4,Bern
0.3,Brussels
0.3,Kuala Lumpur
0.3,Arizona
0.3,Edinburgh
0.3,Melbourne
0.3,Indiana (East)
0.3,Santiago
0.3,Kuwait
0.3,Mazatlan
0.3,Moscow
0.1,Brasilia
0.1,Hong Kong
0.1,Beijing
0.1,Sydney
0.1,Monrovia
0.1,Karachi
0.1,Athens
0.1,St. Petersburg
0.1,Paris
0.1,Madrid
0.1,Atlantic Time (Canada)
0.1,Tokyo
0.1,Vienna
0.1,Kabul
0.1,Osaka
0.1,Rome
0.1,Brisbane
0.1,Copenhagen
0.1,Wellington

Handle = bdutt.txt

Number of followers = 620261

Percentage of followers, Location{Have taken only followers with non blank location into consideration}
11.4,India
9.9,New Delhi
8.6,Mumbai
5.6,Bangalore
3.2,Kolkata
2.8,Chennai
2.7,Hyderabad
2.4,Pune
1.2,Dubai
1.1,London
1.1,Ahmedabad
0.9,Chandigarh
0.9,Gurgaon
0.8,Jaipur
0.7,Lucknow
0.6,Noida
0.6,Indore
0.5,Bhopal
0.5,Pakistan
0.4,Srinagar
0.4,Bhubaneswar
0.4,Nagpur
0.4,Kerala
0.4,Singapore
0.3,Karachi
0.3,Patna
0.3,Coimbatore
0.3,Surat
0.3,Dhaka
0.3,Lahore
0.3,Usa
0.3,Guwahati
0.3,Kanpur
0.3,New York
0.2,Vadodara
0.2,Goa
0.2,Jammu
0.2,Dehradun
0.2,Toronto
0.2,Trivandrum
0.2,Islamabad
0.2,Allahabad
0.2,Mangalore
0.2,Cochin
0.2,Ludhiana
0.2,Kashmir
0.2,Bangladesh
0.2,Ranchi
0.2,Mysore
0.2,Uk
0.2,Banglore
0.2,Navi Mumbai
0.2,Ghaziabad
0.2,Bahrain
0.2,Varanasi
0.2,Kuwait
0.2,Jamshedpur
0.2,Faridabad
0.2,Agra
0.2,Punjab
0.2,Sydney
0.2,Abu Dhabi
0.2,Kochi
0.2,Jodhpur
0.1,Jalandhar
0.1,Melbourne
0.1,Rajkot
0.1,Kathmandu
0.1,Uae
0.1,United Kingdom
0.1,Amritsar
0.1,Canada
0.1,Jabalpur
0.1,Raipur
0.1,Gwalior
0.1,Thane
0.1,Gujarat
0.1,Calicut
0.1,Chicago
0.1,Aurangabad
0.1,Baroda
0.1,Earth
0.1,Los Angeles
0.1,Australia
0.1,Meerut
0.1,Vizag
0.1,Mumbai India
0.1,Visakhapatnam
0.1,Saudi Arabia
0.1,Udaipur
0.1,Vijayawada
0.1,Boston
0.1,Muscat
0.1,Patiala
0.1,Shimla
0.1,Doha
0.1,Madurai
0.1,New Delhi India
0.1,Nashik

% of followers,followers_count of follower
10.1,<=0
40.0,>0 && <=10
15.3,>10 && <=20
17.5,>20 && <=50
12.5,>50 && <=200
3.9,>200 && <=1000
0.5,>1000 && <=5000
0.1,>5000 && <=25000
0.0,>25000 && <=200000
0.0,>200000 && <=100000000

% of followers,statuses_count of follower
19.1,<=0
33.0,>0 && <=10
9.6,>10 && <=20
12.0,>20 && <=50
13.4,>50 && <=200
8.5,>200 && <=1000
3.4,>1000 && <=5000
0.9,>5000 && <=25000
0.1,>25000 && <=200000
0.0,>200000 && <=100000000

% of followers,last status(of follower) created at(Number of days from now)
33.9,undef
9.7,<=7
11.9,>7 && <=30
11.7,>30 && <=90
20.1,>90 && <=365
8.3,>365 && <=730
4.3,>730 && <=1095
0.1,>1095 && <=2200
0.0,>2200 && <=22000

% of followers,account(of follower) created at(Number of days from now)
0.5,<=7
2.3,>7 && <=30
6.5,>30 && <=90
25.4,>90 && <=365
18.3,>365 && <=730
37.6,>730 && <=1095
9.4,>1095 && <=2200
0.0,>2200 && <=22000

% of followers having certain pattern in their bio’s,pattern
4.5,Love
2.5,India
2.5,Student
2.4,Life
2.1,Engineer
1.7,Music
1.0,Professional
0.7,Media
0.7,Software
0.6,News
0.6,Entrepreneur
0.5,Marketing
0.5,Proud
0.4,Politics
0.3,Hate
0.2,Pakistan
0.2,Junkie
0.1,techie
0.1,Hindu
0.1,Economics
0.1,Corruption
0.0,Congress
0.0,Modi
0.0,Nationalist
0.0,Secular
0.0,BJP
0.0,Pseudo
0.0,Paid
0.0,NaMo
0.0,reservation
0.0,merit
0.0,sickular
0.0,dynasty

Most occuring words in bio’s of the followers
% of followers having certain word in descripton,word(counted more than once if it exists in the bio of a user)
3.1,Love
2.5,Life
2.5,Student
1.6,Music
1.5,Engineer
1.5,India
1.2,Com
1.2,Working
1.1,Indian
1.1,Simple
1.1,Lover
1.1,World
1.0,Person
0.9,Live
0.9,Professional
0.9,Just
0.9,Fan
0.9,Guy
0.9,Have
0.9,Loves
0.8,Very
0.8,Cricket
0.8,New
0.8,Writer
0.8,Can
0.8,Do
0.8,Fun
0.8,Business
0.8,Friends
0.8,People
0.8,Social
0.8,Cool
0.8,Good
0.7,Make
0.7,More
0.7,Know
0.7,Loving
0.7,Software
0.7,Www
0.6,Http
0.6,Media
0.6,Want
0.6,Dreamer
0.6,Follow
0.6,Always
0.6,Sports
0.6,Time
0.6,No
0.6,News
0.6,Journalist
0.6,Will
0.6,Marketing
0.6,Hi
0.6,Engineering
0.6,Man
0.5,Human
0.5,Consultant
0.5,Proud
0.5,Enthusiast
0.5,Profession
0.5,Tech
0.5,Entrepreneur
0.5,Manager
0.5,Management
0.5,Work
0.5,Now
0.5,Movies
0.5,Interested
0.5,Things
0.5,Living
0.5,Being
0.5,Web
0.5,Technology
0.5,Photographer
0.5,Mba
0.5,Don
0.4,Im
0.4,Freak
0.4,Best
0.4,Travel
0.4,Movie
0.4,Happy
0.4,Believe
0.4,Delhi
0.4,Here
0.4,Designer
0.4,Well
0.4,Nature
0.4,Also
0.4,Reader
0.4,University
0.4,Passionate
0.4,Girl
0.4,Food
0.4,Big
0.4,Twitter
0.4,Director
0.4,Doing
0.4,Own
0.4,Heart

% of followers in time_zone,time_zone{Have taken only followers with non blank time_zone}
27.2,New Delhi
17.6,Hawaii
15.0,Mumbai
12.7,Chennai
5.6,Kolkata
2.8,Pacific Time (US & Canada)
1.9,London
1.8,Central Time (US & Canada)
1.7,Quito
1.6,Eastern Time (US & Canada)
1.6,Abu Dhabi
1.5,Indiana (East)
1.0,Islamabad
0.9,Alaska
0.5,Riyadh
0.5,Karachi
0.5,Mountain Time (US & Canada)
0.5,Dhaka
0.4,Singapore
0.3,Greenland
0.3,Arizona
0.3,Kuwait
0.2,Kathmandu
0.2,Amsterdam
0.2,Sydney
0.2,Melbourne
0.2,Berlin
0.1,Muscat
0.1,Baghdad
0.1,Kuala Lumpur
0.1,International Date Line West
0.1,Atlantic Time (Canada)
0.1,Paris
0.1,Almaty
0.1,Santiago
0.1,Jakarta
0.1,Pretoria
0.1,Bangkok
0.1,Casablanca
0.1,Nairobi
0.1,Auckland
0.1,Athens
0.1,Edinburgh
0.1,Sri Jayawardenepura
0.1,Hong Kong
0.1,Brisbane
0.1,Beijing
0.1,Cairo
0.1,Tokyo

Handle = DilliDurAst.txt

Number of followers = 2767

Percentage of followers, Location{Have taken only followers with non blank location into consideration}
15.8,New Delhi
7.2,Mumbai
7.1,India
4.0,Bangalore
2.3,Pakistan
2.2,Karachi
1.7,Chennai
1.6,Kashmir
1.6,London
1.5,Pune
1.4,Lahore
1.4,Kolkata
1.3,Islamabad
1.3,Srinagar
1.2,Hyderabad
1.0,Dubai
0.8,Gurgaon
0.6,Ahmedabad
0.5,New York
0.4,Noida
0.4,Chandigarh
0.4,Singapore
0.4,Guwahati
0.3,Kerala
0.3,Jammu And Kashmir
0.3,Toronto
0.3,Boston
0.3,Chicago
0.3,Bhubaneswar
0.3,Lucknow
0.2,Indore
0.2,Patna
0.2,New York City
0.2,Jaipur
0.2,Jammu
0.2,Oxford
0.2,Washington
0.2,Uk
0.2,Usa
0.2,Everywhere
0.2,Rajkot
0.2,Dilli
0.2,Los Angeles
0.2,Jammu & Kashmir
0.1,Nagpur
0.1,Earth
0.1,Punjab
0.1,Ann Arbor
0.1,Bahrain
0.1,Jamshedpur
0.1,Dhaka
0.1,Mysore
0.1,Sri Lanka
0.1,United Kingdom
0.1,Nyc
0.1,Bhopal
0.1,Coimbatore
0.1,Thane
0.1,Canada
0.1,Doha
0.1,Maharashtra
0.1,Goa
0.1,Banglore
0.1,Nigeria
0.1,Manila
0.1,Mangalore
0.1,Indian Occupied Kashmir
0.1,Tampa
0.1,Mum-Bai
0.1,Kanpur
0.1,Jammu Kashmir
0.1,Planet Earth
0.1,Worldwide
0.1,Luton
0.1,Dhule
0.1,Jodhpur
0.1,Omnipresent
0.1,Lahore-Pakistan
0.1,Cuttack
0.1,Nepal
0.1,Kuala Lumpur
0.1,Ldn
0.1,Belgaum
0.1,Lahore Pakistan
0.1,Washington Dc
0.1,Home
0.1,Lagos
0.1,Seattle
0.1,Cambridge
0.1,Larkana
0.1,Srinagar Kashmir
0.1,Dubai Uae
0.1,Rajahmundry
0.1,Hyderabad Sindh Pakistan
0.1,Kochi
0.1,Faisalabad
0.1,Shillong
0.1,Uae
0.1,United States

% of followers,followers_count of follower
1.9,<=0
9.8,>0 && <=10
6.9,>10 && <=20
14.6,>20 && <=50
30.4,>50 && <=200
25.2,>200 && <=1000
8.6,>1000 && <=5000
2.1,>5000 && <=25000
0.3,>25000 && <=200000
0.0,>200000 && <=100000000

% of followers,statuses_count of follower
5.2,<=0
9.7,>0 && <=10
4.2,>10 && <=20
6.1,>20 && <=50
13.7,>50 && <=200
21.4,>200 && <=1000
23.5,>1000 && <=5000
12.6,>5000 && <=25000
3.6,>25000 && <=200000

% of followers,last status(of follower) created at(Number of days from now)
14.7,undef
51.1,<=7
13.6,>7 && <=30
8.6,>30 && <=90
10.7,>90 && <=365
1.2,>365 && <=730
0.2,>730 && <=1095
0.1,>1095 && <=2200

% of followers,account(of follower) created at(Number of days from now)
0.3,<=7
0.8,>7 && <=30
3.9,>30 && <=90
21.3,>90 && <=365
20.6,>365 && <=730
27.0,>730 && <=1095
26.2,>1095 && <=2200

% of followers having certain pattern in their bio’s,pattern
8.0,Love
7.8,India
4.2,Student
3.8,Life
3.6,News
3.5,Politics
3.3,Music
2.6,Media
2.1,Pakistan
2.1,Engineer
1.3,Entrepreneur
1.3,Professional
1.3,Proud
1.0,Junkie
0.9,Hate
0.9,Marketing
0.7,Hindu
0.5,Economics
0.5,Secular
0.5,Software
0.4,Nationalist
0.3,Congress
0.3,BJP
0.3,Pseudo
0.1,techie
0.1,Corruption
0.1,Modi
0.1,NaMo
0.1,Paid
0.0,reservation
0.0,sickular

Most occuring words in bio’s of the followers
% of followers having certain word in descripton,word(counted more than once if it exists in the bio of a user)
5.2,Journalist
4.8,Writer
4.7,India
4.7,Love
4.1,Com
3.9,Student
3.5,Politics
3.4,Http
3.4,Life
3.3,Indian
3.3,News
3.2,Music
3.0,Lover
3.0,Social
2.7,World
2.5,Www
2.5,Media
2.4,Personal
2.4,Views
2.3,Tweets
2.2,Editor
2.1,Time
2.0,Cricket
1.9,Interested
1.8,Human
1.8,Do
1.8,Blogger
1.8,Have
1.7,Engineer
1.7,No
1.7,People
1.7,Reader
1.6,Delhi
1.6,Loves
1.6,Just
1.6,Food
1.6,Books
1.6,Photographer
1.5,Enthusiast
1.5,Will
1.5,Follow
1.4,Good
1.4,Pakistan
1.4,Free
1.3,Kashmir
1.3,Working
1.3,Now
1.3,Travel
1.3,Own
1.3,New
1.3,Professional
1.3,Day
1.3,Rts
1.3,Proud
1.3,Director
1.3,Business
1.3,Live
1.3,Activist
1.2,Things
1.2,Here
1.2,Entrepreneur
1.2,Addict
1.2,Dreamer
1.2,Bcd
1.2,Endorsements
1.2,Foodie
1.2,Development
1.2,Know
1.2,Culture
1.2,Twitter
1.2,Rights
1.2,Can
1.1,Always
1.1,Lawyer
1.1,Film
1.1,More
1.1,Person
1.0,Researcher
1.0,Peace
1.0,Times
1.0,Nature
1.0,Don
1.0,Global
1.0,Also
1.0,History
1.0,Marketing
1.0,Make
1.0,Tech
1.0,Consultant
1.0,Want
1.0,Junkie
1.0,Political
0.9,International
0.9,Sports
0.9,Real
0.9,Affairs
0.9,Fan
0.9,Work
0.9,Change
0.9,Muslim

% of followers in time_zone,time_zone{Have taken only followers with non blank time_zone}
30.7,New Delhi
12.8,Mumbai
11.5,Hawaii
8.8,Chennai
5.0,Islamabad
3.9,Central Time (US & Canada)
3.6,Eastern Time (US & Canada)
3.5,Karachi
3.1,London
2.8,Kolkata
2.3,Pacific Time (US & Canada)
1.9,Abu Dhabi
1.3,Quito
0.7,Riyadh
0.6,Singapore
0.6,Mountain Time (US & Canada)
0.6,Amsterdam
0.6,Alaska
0.5,Indiana (East)
0.3,Paris
0.3,Atlantic Time (Canada)
0.2,Tehran
0.2,Arizona
0.2,Muscat
0.2,Casablanca
0.2,Kathmandu
0.2,Bangkok
0.2,Dhaka
0.2,Greenland
0.1,Brasilia
0.1,Kuala Lumpur
0.1,Edinburgh
0.1,Baghdad
0.1,Athens
0.1,Berlin
0.1,Sydney
0.1,Kabul
0.1,Almaty
0.1,Jakarta
0.1,West Central Africa
0.1,Brussels
0.1,Melbourne
0.1,Jerusalem
0.1,Santiago
0.0,Baku
0.0,Hong Kong
0.0,Helsinki
0.0,Tashkent
0.0,Bogota

Handle = offstumped.txt

Number of followers = 6959

Percentage of followers, Location{Have taken only followers with non blank location into consideration}
11.4,India
10.5,New Delhi
7.9,Mumbai
7.4,Bangalore
2.9,Chennai
2.8,Hyderabad
2.2,Pune
1.4,Ahmedabad
1.2,London
1.2,Kolkata
0.8,Gurgaon
0.7,Dubai
0.7,Singapore
0.6,Usa
0.6,Lucknow
0.5,Noida
0.5,New York
0.4,Jaipur
0.3,Indore
0.3,Bhopal
0.3,Surat
0.3,Coimbatore
0.3,Gujarat
0.3,Bhubaneswar
0.3,Kerala
0.3,Chandigarh
0.3,Everywhere
0.3,Nagpur
0.2,Washington
0.2,Trivandrum
0.2,Vadodara
0.2,Mangalore
0.2,Toronto
0.2,Uk
0.2,United Kingdom
0.2,Boston
0.2,Patna
0.2,Earth
0.2,Washington Dc
0.2,Allahabad
0.2,Kanpur
0.2,Planet Earth
0.2,Chicago
0.2,Agra
0.2,Bhavnagar
0.2,Los Angeles
0.2,Guwahati
0.2,Rajkot
0.1,Jodhpur
0.1,Dhaka
0.1,Global
0.1,Hong Kong
0.1,Us
0.1,Tamil Nadu
0.1,Kochi
0.1,Sydney
0.1,Gorakhpur
0.1,Lahore
0.1,San Francisco
0.1,Doha
0.1,Thrissur
0.1,Bahrain
0.1,Gandhinagar
0.1,Thane
0.1,Ghaziabad
0.1,India.
0.1,Mysore
0.1,Baroda
0.1,Pakistan
0.1,Manipal
0.1,Germany
0.1,Australia
0.1,Banglore
0.1,Worldwide
0.1,Jamnagar
0.1,Detroit
0.1,United States
0.1,Amritsar
0.1,Montreal
0.1,Trichy
0.1,Jamshedpur
0.1,Cambridge
0.1,Here
0.1,Sweden
0.1,South Africa
0.1,Uae
0.1,Minneapolis
0.1,Bangkok
0.1,Palakkad
0.1,Ranchi
0.1,Faridabad
0.1,Canada
0.1,Goa
0.1,Bay Area
0.1,Srinagar
0.1,San Diego
0.1,Belgaum
0.1,Bihar
0.1,Kathmandu

% of followers,followers_count of follower
1.7,<=0
11.6,>0 && <=10
8.0,>10 && <=20
16.3,>20 && <=50
32.7,>50 && <=200
23.4,>200 && <=1000
4.9,>1000 && <=5000
1.1,>5000 && <=25000
0.2,>25000 && <=200000
0.0,>200000 && <=100000000

% of followers,statuses_count of follower
4.4,<=0
10.5,>0 && <=10
4.5,>10 && <=20
7.9,>20 && <=50
16.6,>50 && <=200
22.5,>200 && <=1000
20.8,>1000 && <=5000
10.2,>5000 && <=25000
2.4,>25000 && <=200000
0.0,>200000 && <=100000000

% of followers,last status(of follower) created at(Number of days from now)
15.5,undef
39.8,<=7
14.1,>7 && <=30
9.6,>30 && <=90
14.0,>90 && <=365
4.5,>365 && <=730
2.1,>730 && <=1095
0.4,>1095 && <=2200
0.0,>2200 && <=22000

% of followers,account(of follower) created at(Number of days from now)
0.3,<=7
0.6,>7 && <=30
2.2,>30 && <=90
16.6,>90 && <=365
19.4,>365 && <=730
34.6,>730 && <=1095
26.3,>1095 && <=2200

% of followers having certain pattern in their bio’s,pattern
9.8,India
6.3,Love
3.9,Politics
3.4,News
3.2,Engineer
3.1,Life
2.8,Student
2.6,Music
2.5,Hindu
2.2,Media
2.0,Entrepreneur
1.9,Proud
1.7,Professional
1.7,Nationalist
1.1,BJP
1.1,Junkie
1.1,Software
1.0,Hate
0.9,Marketing
0.9,Secular
0.7,Economics
0.6,Modi
0.6,Congress
0.6,Corruption
0.5,techie
0.4,Pseudo
0.3,NaMo
0.2,Pakistan
0.2,sickular
0.2,Paid
0.1,reservation
0.1,dynasty
0.0,merit

Most occuring words in bio’s of the followers
% of followers having certain word in descripton,word(counted more than once if it exists in the bio of a user)
5.5,India
5.0,Indian
4.0,Politics
3.8,Com
3.5,Love
3.3,News
2.9,Life
2.8,Student
2.7,Http
2.7,Engineer
2.5,Music
2.5,Social
2.3,Writer
2.1,Cricket
2.1,Tweets
2.1,Journalist
2.1,Www
2.0,World
2.0,Hindu
2.0,Lover
2.0,Media
2.0,Personal
2.0,Proud
1.8,Views
1.7,Fan
1.7,Right
1.7,Just
1.6,Entrepreneur
1.6,Professional
1.6,Interested
1.6,Nationalist
1.6,Have
1.5,Do
1.5,Consultant
1.5,Political
1.5,New
1.4,Blogger
1.4,Will
1.4,Business
1.4,Time
1.4,Reader
1.4,Working
1.4,Free
1.3,Loves
1.3,Good
1.3,More
1.3,People
1.3,No
1.3,Follow
1.2,Twitter
1.2,Enthusiast
1.2,Sports
1.2,Technology
1.2,Tech
1.1,Always
1.1,Bjp
1.1,Person
1.1,Can
1.1,Now
1.1,Software
1.1,Junkie
1.0,Thinker
1.0,Movies
1.0,Here
1.0,Man
1.0,Addict
1.0,Dreamer
1.0,Know
1.0,Own
1.0,Marketing
0.9,Photographer
0.9,Endorsements
0.9,Delhi
0.9,Affairs
0.9,Don
0.9,Make
0.9,Believe
0.9,Profession
0.9,Very
0.9,Human
0.9,Avid
0.9,Also
0.9,Guy
0.9,Travel
0.9,Movie
0.9,Interests
0.9,Food
0.9,Wannabe
0.9,Freak
0.9,Books
0.9,Want
0.9,Passionate
0.8,Science
0.8,Management
0.8,Interest
0.8,Development
0.8,Things
0.8,Live
0.8,Editor
0.8,Trying

% of followers in time_zone,time_zone{Have taken only followers with non blank time_zone}
26.9,New Delhi
16.8,Mumbai
14.7,Hawaii
12.8,Chennai
3.8,Eastern Time (US & Canada)
3.8,Pacific Time (US & Canada)
3.6,Kolkata
2.7,Central Time (US & Canada)
2.2,Quito
2.1,London
1.1,Alaska
0.9,Abu Dhabi
0.8,Mountain Time (US & Canada)
0.7,Singapore
0.7,Indiana (East)
0.4,Greenland
0.4,Amsterdam
0.3,Islamabad
0.3,Riyadh
0.3,Berlin
0.3,Arizona
0.2,Atlantic Time (Canada)
0.2,Dhaka
0.2,Sydney
0.2,Muscat
0.2,Paris
0.2,Melbourne
0.2,Kuwait
0.2,Bangkok
0.2,Beijing
0.2,Karachi
0.2,Athens
0.1,Hong Kong
0.1,Kuala Lumpur
0.1,Casablanca
0.1,International Date Line West
0.1,Pretoria
0.1,Jakarta
0.1,Brussels
0.1,Kathmandu
0.1,Brasilia
0.1,Helsinki
0.1,Rome
0.1,Baghdad
0.1,Stockholm
0.1,Cairo
0.1,Edinburgh
0.1,Tokyo
0.1,Bern

Handle = PM0India.txt

Number of followers = 7855

Percentage of followers, Location{Have taken only followers with non blank location into consideration}
10.1,Mumbai
9.6,India
9.4,New Delhi
6.1,Bangalore
3.6,Chennai
2.9,Pune
2.6,Hyderabad
1.5,Kolkata
1.2,Ahmedabad
0.9,Dubai
0.8,Chandigarh
0.7,Gurgaon
0.7,Jaipur
0.7,Surat
0.6,Lucknow
0.6,Indore
0.6,London
0.5,Bhubaneswar
0.5,Nagpur
0.4,Vadodara
0.4,Bhopal
0.4,Coimbatore
0.3,Noida
0.3,Patna
0.3,Kanpur
0.3,Singapore
0.3,Gujarat
0.3,Navi Mumbai
0.2,New York
0.2,Ludhiana
0.2,Kerala
0.2,Allahabad
0.2,Madurai
0.2,Varanasi
0.2,Aurangabad
0.2,Usa
0.2,Sydney
0.2,Mangalore
0.2,Bangladesh
0.2,Jammu
0.2,Guwahati
0.2,Goa
0.2,Banglore
0.2,Trivandrum
0.2,Raipur
0.2,Earth
0.2,Punjab
0.2,Bahrain
0.2,Dhaka
0.2,Rajkot
0.2,Karnataka
0.2,Ghaziabad
0.1,Lahore
0.1,Mysore
0.1,Ranchi
0.1,Nashik
0.1,Amritsar
0.1,Visakhapatnam
0.1,Toronto
0.1,Jodhpur
0.1,Gwalior
0.1,Kota
0.1,Agra
0.1,Maldives
0.1,Manipal
0.1,Kharagpur
0.1,Vellore
0.1,Udaipur
0.1,Melbourne
0.1,Vizag
0.1,Thane
0.1,Mathura
0.1,Everywhere
0.1,Baroda
0.1,United Kingdom
0.1,Pakistan
0.1,Germany
0.1,Maharashtra
0.1,Singara Chennai
0.1,Gandhinagar
0.1,California
0.1,Kuwait
0.1,Islamabad
0.1,Planet Earth
0.1,Bikaner
0.1,Iit Kharagpur
0.1,Vapi
0.1,Cochin
0.1,Jalandhar
0.1,Chicago
0.1,Patiala
0.1,Guntur
0.1,Uae
0.1,Global
0.1,Nasik
0.1,Karachi
0.1,Roorkee
0.1,Australia
0.1,Doha

% of followers,followers_count of follower
9.3,<=0
25.7,>0 && <=10
10.7,>10 && <=20
18.2,>20 && <=50
24.5,>50 && <=200
9.5,>200 && <=1000
1.7,>1000 && <=5000
0.3,>5000 && <=25000
0.1,>25000 && <=200000
0.0,>200000 && <=100000000

% of followers,statuses_count of follower
8.2,<=0
20.9,>0 && <=10
6.1,>10 && <=20
8.7,>20 && <=50
15.1,>50 && <=200
19.2,>200 && <=1000
15.0,>1000 && <=5000
5.9,>5000 && <=25000
0.9,>25000 && <=200000

% of followers,last status(of follower) created at(Number of days from now)
19.9,undef
40.0,<=7
18.2,>7 && <=30
14.4,>30 && <=90
6.7,>90 && <=365
0.5,>365 && <=730
0.3,>730 && <=1095

% of followers,account(of follower) created at(Number of days from now)
0.5,<=7
2.9,>7 && <=30
10.4,>30 && <=90
23.2,>90 && <=365
16.9,>365 && <=730
32.3,>730 && <=1095
13.9,>1095 && <=2200

% of followers having certain pattern in their bio’s,pattern
7.5,Love
5.6,India
4.0,Student
3.9,Engineer
3.3,Life
3.2,Music
2.1,Proud
1.5,Hindu
1.5,Politics
1.3,Media
1.2,Hate
1.2,News
1.0,Entrepreneur
1.0,Software
1.0,Professional
0.8,Nationalist
0.6,Junkie
0.5,Marketing
0.5,Modi
0.5,Secular
0.5,BJP
0.4,Pseudo
0.3,Congress
0.3,techie
0.2,Corruption
0.2,NaMo
0.2,Economics
0.2,Paid
0.2,sickular
0.2,Pakistan
0.1,dynasty
0.1,reservation
0.0,merit

Most occuring words in bio’s of the followers
% of followers having certain word in descripton,word(counted more than once if it exists in the bio of a user)
3.9,Student
3.9,Love
3.3,Life
3.3,Indian
3.1,Music
3.1,Lover
3.0,Engineer
2.7,Fan
2.5,India
2.4,Bcd
2.3,Cricket
2.1,Proud
1.7,Com
1.6,World
1.6,Just
1.5,Follow
1.5,Enthusiast
1.5,Politics
1.5,Loves
1.5,Social
1.4,Can
1.4,Writer
1.4,Do
1.3,Dreamer
1.3,Guy
1.3,Freak
1.2,Have
1.2,Good
1.2,Hindu
1.2,Sports
1.2,Blogger
1.1,Tech
1.1,News
1.1,No
1.1,Media
1.1,Addict
1.1,Movie
1.1,Man
1.1,Know
1.1,Food
1.1,People
1.1,Working
1.0,Will
1.0,Photographer
1.0,Always
1.0,Software
1.0,Technology
1.0,Time
1.0,Person
1.0,Twitter
1.0,Movies
1.0,Journalist
1.0,Simple
0.9,Engineering
0.9,Make
0.9,More
0.9,Http
0.9,Tweets
0.9,Www
0.9,Entrepreneur
0.9,Don
0.9,Professional
0.9,Live
0.9,Here
0.9,Foodie
0.9,Now
0.9,Profession
0.9,New
0.9,Bbf
0.9,Reader
0.9,Too
0.9,Baa
0.8,Hate
0.8,Things
0.8,Want
0.8,Day
0.8,Fun
0.8,Right
0.8,Loving
0.8,Crazy
0.8,Work
0.8,Nationalist
0.8,Football
0.8,Very
0.8,Business
0.8,Travel
0.8,Wannabe
0.8,Hard
0.7,Also
0.7,Own
0.7,Buff
0.7,Human
0.7,Living
0.7,Tweet
0.7,Cool
0.7,Mba
0.7,Bae
0.7,Personal
0.7,Views
0.7,Die

% of followers in time_zone,time_zone{Have taken only followers with non blank time_zone}
27.9,New Delhi
20.0,Chennai
19.9,Mumbai
12.3,Hawaii
4.3,Kolkata
1.8,Pacific Time (US & Canada)
1.5,Eastern Time (US & Canada)
1.2,Abu Dhabi
1.2,London
1.2,Central Time (US & Canada)
1.0,Indiana (East)
0.9,Quito
0.5,Islamabad
0.5,Alaska
0.4,Riyadh
0.3,Arizona
0.3,Mountain Time (US & Canada)
0.3,Amsterdam
0.2,Berlin
0.2,Singapore
0.2,Sydney
0.2,Karachi
0.2,Greenland
0.2,Athens
0.2,Dhaka
0.2,Atlantic Time (Canada)
0.2,Baghdad
0.2,Casablanca
0.2,Kuwait
0.1,Melbourne
0.1,Beijing
0.1,Kathmandu
0.1,Almaty
0.1,Brisbane
0.1,Hong Kong
0.1,Nairobi
0.1,Bangkok
0.1,Stockholm
0.1,Kuala Lumpur
0.1,Tokyo
0.1,Dublin
0.1,Seoul
0.1,Sri Jayawardenepura
0.1,Paris
0.1,International Date Line West
0.1,Moscow
0.0,Helsinki
0.0,Bern
0.0,Osaka

Handle = prasannavishy.txt

Number of followers = 4269

Percentage of followers, Location{Have taken only followers with non blank location into consideration}
11.8,India
9.1,New Delhi
8.7,Bangalore
6.8,Mumbai
5.5,Chennai
2.5,Hyderabad
1.7,Pune
1.2,Kolkata
0.8,Ahmedabad
0.8,Dubai
0.8,Usa
0.6,Coimbatore
0.6,London
0.5,Kerala
0.4,New York
0.4,Singapore
0.4,Lucknow
0.4,Gurgaon
0.4,Noida
0.4,Surat
0.3,Trivandrum
0.3,Everywhere
0.3,Jaipur
0.3,Bhubaneswar
0.3,Guwahati
0.3,Sydney
0.2,Nagpur
0.2,Mangalore
0.2,Chandigarh
0.2,Madurai
0.2,Indore
0.2,Gujarat
0.2,Toronto
0.2,Planet Earth
0.2,Navi Mumbai
0.2,Chicago
0.2,Uae
0.2,California
0.2,Patna
0.2,Vadodara
0.2,San Francisco
0.2,Washington
0.2,Boston
0.2,Kanpur
0.2,Bangalore India
0.2,Uk
0.2,Varanasi
0.2,Seattle
0.2,Mysore
0.2,Kochi
0.2,Agra
0.2,New Delhi India
0.2,Calicut
0.2,Mumbai India
0.1,Allahabad
0.1,Bangladesh
0.1,Islamabad
0.1,Thrissur
0.1,Worldwide
0.1,Trichy
0.1,Bahrain
0.1,United Kingdom
0.1,Karnataka
0.1,Bhavnagar
0.1,Dilli
0.1,Los Angeles
0.1,England
0.1,Ranchi
0.1,Visakhapatnam
0.1,Thane
0.1,Canada
0.1,Salem
0.1,Indonesia
0.1,Gorakhpur
0.1,Tamil Nadu
0.1,Earth
0.1,Andhra Pradesh
0.1,Gwalior
0.1,Belgaum
0.1,Erode
0.1,Colombo
0.1,Dhaka
0.1,Portsmouth Uk
0.1,Dehradun
0.1,Meerut
0.1,Rajasthan
0.1,United States
0.1,Texas
0.1,New York City
0.1,Bhopal
0.1,Global
0.1,Jammu
0.1,Palakkad
0.1,Germany
0.1,Us
0.1,Manchester
0.1,Australia
0.1,Kuwait
0.1,Tirunelveli

% of followers,followers_count of follower
2.0,<=0
11.5,>0 && <=10
7.6,>10 && <=20
14.4,>20 && <=50
30.3,>50 && <=200
25.6,>200 && <=1000
6.9,>1000 && <=5000
1.2,>5000 && <=25000
0.4,>25000 && <=200000
0.1,>200000 && <=100000000

% of followers,statuses_count of follower
4.7,<=0
10.8,>0 && <=10
4.0,>10 && <=20
6.8,>20 && <=50
14.6,>50 && <=200
20.1,>200 && <=1000
22.4,>1000 && <=5000
13.1,>5000 && <=25000
3.5,>25000 && <=200000
0.0,>200000 && <=100000000

% of followers,last status(of follower) created at(Number of days from now)
13.4,undef
43.5,<=7
13.6,>7 && <=30
9.5,>30 && <=90
13.6,>90 && <=365
4.2,>365 && <=730
2.0,>730 && <=1095
0.1,>1095 && <=2200

% of followers,account(of follower) created at(Number of days from now)
0.2,<=7
0.9,>7 && <=30
3.0,>30 && <=90
19.6,>90 && <=365
23.5,>365 && <=730
32.2,>730 && <=1095
20.6,>1095 && <=2200

% of followers having certain pattern in their bio’s,pattern
12.1,India
5.9,Love
4.7,Hindu
4.2,Politics
3.6,News
3.0,Life
3.0,Engineer
2.8,Nationalist
2.7,Proud
2.6,Media
2.2,Music
2.0,Student
1.8,Entrepreneur
1.7,Professional
1.6,BJP
1.4,Hate
1.3,Secular
1.2,Software
1.1,Junkie
1.0,Economics
1.0,Modi
0.8,Congress
0.7,Marketing
0.7,Corruption
0.7,Pseudo
0.5,NaMo
0.4,sickular
0.4,Paid
0.4,techie
0.1,Pakistan
0.1,reservation
0.0,dynasty
0.0,merit

Most occuring words in bio’s of the followers
% of followers having certain word in descripton,word(counted more than once if it exists in the bio of a user)
6.7,India
6.3,Indian
4.4,Com
4.4,Politics
4.2,Hindu
3.7,Bcd
3.6,Love
3.5,News
2.9,Proud
2.8,Life
2.7,Nationalist
2.5,Http
2.5,Social
2.5,Engineer
2.4,Media
2.2,Right
2.2,World
2.2,Music
2.0,Www
1.9,Views
1.8,Student
1.8,Political
1.8,Tweets
1.8,Follow
1.7,Lover
1.7,Bjp
1.7,Journalist
1.7,Personal
1.6,Professional
1.6,Fan
1.6,Entrepreneur
1.6,Writer
1.6,Working
1.6,Twitter
1.5,Free
1.5,People
1.5,No
1.5,More
1.5,Interested
1.5,Consultant
1.4,Bbf
1.4,Cricket
1.4,Have
1.4,Can
1.4,Do
1.4,Good
1.4,Business
1.3,Reader
1.2,Blogger
1.2,Live
1.2,Software
1.2,New
1.1,Baa
1.1,Anti
1.1,Just
1.1,Hate
1.1,Time
1.1,Will
1.1,Always
1.1,Internet
1.1,Bae
1.1,Best
1.1,Junkie
1.1,Activist
1.0,Loves
1.0,Enthusiast
1.0,Economics
1.0,Profession
1.0,Want
1.0,Management
1.0,Interest
1.0,Tech
1.0,Own
1.0,Make
1.0,Avid
1.0,Now
1.0,History
1.0,Very
0.9,Know
0.9,See
0.9,Country
0.9,Human
0.9,Believe
0.9,Sports
0.9,Rts
0.9,Get
0.9,Delhi
0.9,Don
0.9,Congress
0.9,Bbe
0.8,Affairs
0.8,Technology
0.8,Here
0.8,Movies
0.8,Web
0.8,Secular
0.8,Science
0.8,Endorsements
0.8,Real
0.8,Thinker

% of followers in time_zone,time_zone{Have taken only followers with non blank time_zone}
23.9,New Delhi
17.0,Chennai
16.3,Hawaii
14.7,Mumbai
3.6,Pacific Time (US & Canada)
3.5,Eastern Time (US & Canada)
2.5,Kolkata
2.5,Central Time (US & Canada)
2.3,Quito
1.8,London
1.4,Alaska
1.0,Abu Dhabi
0.8,Mountain Time (US & Canada)
0.7,Indiana (East)
0.6,Singapore
0.5,Greenland
0.4,Berlin
0.4,Arizona
0.3,Sydney
0.3,Amsterdam
0.3,Riyadh
0.2,Bangkok
0.2,Atlantic Time (Canada)
0.2,Tokyo
0.2,Islamabad
0.2,Athens
0.2,Kuwait
0.2,Melbourne
0.2,International Date Line West
0.1,Hong Kong
0.1,Central America
0.1,Nairobi
0.1,Jakarta
0.1,Sri Jayawardenepura
0.1,Casablanca
0.1,Kathmandu
0.1,Dhaka
0.1,Baghdad
0.1,Muscat
0.1,Paris
0.1,Brisbane
0.1,Santiago
0.1,Stockholm
0.1,Kuala Lumpur
0.1,Helsinki
0.1,Dublin
0.1,Rome
0.1,Wellington
0.1,Mazatlan

Handle = realitycheckind.txt

Number of followers = 1992

Percentage of followers, Location{Have taken only followers with non blank location into consideration}
10.7,India
9.6,Bangalore
8.7,New Delhi
8.2,Mumbai
3.7,Chennai
2.6,Hyderabad
1.7,Pune
1.2,Kolkata
1.1,Ahmedabad
1.0,London
0.9,Usa
0.9,Singapore
0.6,Us
0.6,Coimbatore
0.6,Gurgaon
0.5,Trivandrum
0.5,Noida
0.5,Chandigarh
0.5,New York
0.4,Planet Earth
0.4,Everywhere
0.4,Gujarat
0.4,Earth
0.4,Indore
0.4,Lucknow
0.3,Nagpur
0.3,Agra
0.3,Jaipur
0.3,Bhubaneswar
0.3,Canada
0.3,Kerala
0.2,Mangalore
0.2,Boston
0.2,Navi Mumbai
0.2,Mysore
0.2,Kochi
0.2,Sydney
0.2,Ludhiana
0.2,Atlanta
0.2,Australia
0.2,Thane
0.1,Goa
0.1,Toronto
0.1,Bangalore India
0.1,Odisha
0.1,Michigan
0.1,Srinagar
0.1,Utopia
0.1,Houston
0.1,Chicago
0.1,Http://Satyameva-Jayate.Org
0.1,Washington Dc
0.1,Velachha
0.1,Dhaka
0.1,Tirupati
0.1,Dubai
0.1,Memphis
0.1,Hyderabad.
0.1,Nyc
0.1,Netherlands
0.1,Uae
0.1,California
0.1,Patna
0.1,Amritsar
0.1,Global
0.1,Iit Kanpur
0.1,Bhagyanagaram
0.1,Jammu
0.1,Panaji
0.1,Goregaon
0.1,Munich
0.1,Germany
0.1,Visakhapatnam
0.1,Surat
0.1,Indian
0.1,India – Bharat – Hindustan
0.1,Manchester
0.1,Dallas
0.1,Ahmednagar
0.1,Hyderabad India
0.1,Bharata
0.1,Doha
0.1,Us/Houston/India/Kerala
0.1,Jacksonville
0.1,Allahabad
0.1,World Citizen
0.1,Tokyo
0.1,Banglore
0.1,U.A.E
0.1,In
0.1,Magadh
0.1,Manila
0.1,\X{Dc}T: 19.083079
0.1,Texas Tx
0.1,Iphone: 37.636658
0.1,Bangladesh
0.1,\X{Dc}T: 12.90608
0.1,Japan
0.1,New

% of followers,followers_count of follower
1.1,<=0
8.1,>0 && <=10
7.8,>10 && <=20
14.7,>20 && <=50
35.1,>50 && <=200
25.3,>200 && <=1000
6.8,>1000 && <=5000
0.8,>5000 && <=25000
0.3,>25000 && <=200000
0.1,>200000 && <=100000000

% of followers,statuses_count of follower
3.0,<=0
6.2,>0 && <=10
2.2,>10 && <=20
5.1,>20 && <=50
12.2,>50 && <=200
24.1,>200 && <=1000
26.6,>1000 && <=5000
16.1,>5000 && <=25000
4.6,>25000 && <=200000

% of followers,last status(of follower) created at(Number of days from now)
12.4,undef
51.5,<=7
14.2,>7 && <=30
7.6,>30 && <=90
9.6,>90 && <=365
4.1,>365 && <=730
0.7,>730 && <=1095

% of followers,account(of follower) created at(Number of days from now)
0.2,<=7
0.5,>7 && <=30
2.3,>30 && <=90
15.0,>90 && <=365
22.4,>365 && <=730
36.2,>730 && <=1095
23.4,>1095 && <=2200

% of followers having certain pattern in their bio’s,pattern
12.8,India
5.9,Hindu
5.8,Love
4.6,Politics
3.7,Proud
3.5,Nationalist
3.2,News
3.0,Life
3.0,Engineer
2.5,Media
2.2,Music
2.0,Student
1.4,Secular
1.4,Professional
1.3,Hate
1.2,Entrepreneur
1.2,Junkie
1.1,BJP
1.0,Software
1.0,Modi
1.0,Economics
0.8,Congress
0.8,techie
0.8,Corruption
0.6,NaMo
0.5,Pseudo
0.5,Marketing
0.5,sickular
0.4,Paid
0.2,reservation
0.1,dynasty
0.1,merit

Most occuring words in bio’s of the followers
% of followers having certain word in descripton,word(counted more than once if it exists in the bio of a user)
7.0,Indian
6.6,India
5.1,Hindu
4.8,Politics
3.7,Proud
3.5,Love
3.3,Nationalist
3.1,News
3.1,Right
3.1,Com
2.9,Life
2.8,Http
2.5,Engineer
2.5,Views
2.3,Personal
2.3,Media
2.2,Music
2.2,Tweets
2.2,Fan
2.1,No
2.1,Lover
2.1,Reader
2.0,World
2.0,Will
1.9,Interested
1.9,Student
1.8,Writer
1.8,Just
1.7,Anti
1.7,Free
1.7,Bcd
1.6,Good
1.6,Social
1.6,Avid
1.6,Sports
1.6,Own
1.5,Journalist
1.5,Follow
1.5,Have
1.5,Www
1.4,Blogger
1.4,Cricket
1.4,Working
1.4,Twitter
1.4,Always
1.4,Can
1.3,Professional
1.3,Do
1.3,Time
1.3,People
1.3,Political
1.3,Business
1.3,Consultant
1.2,Enthusiast
1.2,Profession
1.2,Bjp
1.2,Interest
1.2,Travel
1.2,Know
1.2,New
1.2,Want
1.1,Wannabe
1.1,More
1.1,Here
1.1,Entrepreneur
1.1,Get
1.1,Man
1.1,Passionate
1.1,Very
1.1,Junkie
1.1,Software
1.1,Tech
1.1,Photographer
1.0,Analyst
1.0,See
1.0,Interests
1.0,Take
1.0,Truth
1.0,History
1.0,Person
1.0,Technology
0.9,Believe
0.9,Mba
0.9,Day
0.9,Movies
0.9,Freak
0.9,Live
0.9,Economics
0.9,Loves
0.9,Buff
0.9,Has
0.9,Make
0.9,Hate
0.9,Congress
0.9,Movie
0.9,Rts
0.9,Best
0.9,Secular
0.9,Dreamer
0.9,Corruption

% of followers in time_zone,time_zone{Have taken only followers with non blank time_zone}
26.7,New Delhi
16.2,Chennai
16.2,Mumbai
13.9,Hawaii
4.0,Eastern Time (US & Canada)
3.1,Pacific Time (US & Canada)
2.9,Kolkata
2.5,Central Time (US & Canada)
2.2,Quito
1.9,London
0.9,Singapore
0.9,Mountain Time (US & Canada)
0.8,Alaska
0.7,Abu Dhabi
0.7,Indiana (East)
0.6,Greenland
0.5,Berlin
0.5,Amsterdam
0.3,Brisbane
0.3,Riyadh
0.3,Kuwait
0.2,Atlantic Time (Canada)
0.2,Melbourne
0.1,Hong Kong
0.1,Sydney
0.1,Helsinki
0.1,Tokyo
0.1,Rome
0.1,Bangkok
0.1,Auckland
0.1,Athens
0.1,St. Petersburg
0.1,Moscow
0.1,Cairo
0.1,Perth
0.1,Pretoria
0.1,Kuala Lumpur
0.1,Monrovia
0.1,Dublin
0.1,Bern
0.1,Kabul
0.1,Osaka
0.1,Central America
0.1,Nairobi
0.1,Jakarta
0.1,Islamabad
0.1,West Central Africa
0.1,Baghdad
0.1,Guadalajara

Handle = sagarikaghose.txt

Number of followers = 75609

Percentage of followers, Location{Have taken only followers with non blank location into consideration}
11.4,New Delhi
10.9,India
9.2,Mumbai
6.2,Bangalore
3.6,Kolkata
2.8,Chennai
2.7,Hyderabad
2.3,Pune
1.0,Ahmedabad
0.9,Gurgaon
0.9,Dubai
0.8,London
0.8,Chandigarh
0.7,Jaipur
0.7,Lucknow
0.6,Noida
0.5,Bhubaneswar
0.5,Indore
0.4,Nagpur
0.4,Bhopal
0.4,Singapore
0.4,Kerala
0.4,Patna
0.3,New York
0.3,Guwahati
0.3,Coimbatore
0.3,Surat
0.3,Srinagar
0.3,Usa
0.3,Dhaka
0.2,Goa
0.2,Trivandrum
0.2,Kanpur
0.2,Cochin
0.2,Vadodara
0.2,Allahabad
0.2,Kochi
0.2,Pakistan
0.2,Navi Mumbai
0.2,Mangalore
0.2,Dehradun
0.2,Uk
0.2,Mysore
0.2,Ranchi
0.2,Bangladesh
0.2,Kashmir
0.2,Jammu
0.2,Karachi
0.2,Toronto
0.2,Ghaziabad
0.2,Banglore
0.2,Jodhpur
0.2,Sydney
0.1,Gujarat
0.1,Rajkot
0.1,Varanasi
0.1,Ludhiana
0.1,Jamshedpur
0.1,Thane
0.1,Faridabad
0.1,Mumbai India
0.1,Raipur
0.1,Chicago
0.1,Punjab
0.1,Jalandhar
0.1,Agra
0.1,Abu Dhabi
0.1,Melbourne
0.1,Kuwait
0.1,Los Angeles
0.1,Amritsar
0.1,New Delhi India
0.1,Kathmandu
0.1,United Kingdom
0.1,Earth
0.1,Aurangabad
0.1,Cuttack
0.1,Uae
0.1,Muscat
0.1,Islamabad
0.1,Nashik
0.1,Calicut
0.1,Canada
0.1,Bahrain
0.1,Lahore
0.1,Boston
0.1,Visakhapatnam
0.1,Gorakhpur
0.1,San Francisco
0.1,Thiruvananthapuram
0.1,Manipal
0.1,Meerut
0.1,Gandhinagar
0.1,United States
0.1,Assam
0.1,Everywhere
0.1,Kharagpur
0.1,Jabalpur
0.1,West Bengal

% of followers,followers_count of follower
3.3,<=0
23.3,>0 && <=10
14.1,>10 && <=20
22.1,>20 && <=50
25.3,>50 && <=200
10.2,>200 && <=1000
1.3,>1000 && <=5000
0.3,>5000 && <=25000
0.1,>25000 && <=200000
0.0,>200000 && <=100000000

% of followers,statuses_count of follower
7.5,<=0
20.8,>0 && <=10
8.9,>10 && <=20
13.5,>20 && <=50
20.1,>50 && <=200
17.2,>200 && <=1000
9.0,>1000 && <=5000
2.7,>5000 && <=25000
0.4,>25000 && <=200000
0.0,>200000 && <=100000000

% of followers,last status(of follower) created at(Number of days from now)
22.7,undef
21.7,<=7
14.3,>7 && <=30
12.1,>30 && <=90
19.5,>90 && <=365
7.2,>365 && <=730
2.4,>730 && <=1095
0.0,>1095 && <=2200
0.0,>2200 && <=22000

% of followers,account(of follower) created at(Number of days from now)
0.2,<=7
0.8,>7 && <=30
2.8,>30 && <=90
16.7,>90 && <=365
23.0,>365 && <=730
41.0,>730 && <=1095
15.4,>1095 && <=2200

% of followers having certain pattern in their bio’s,pattern
6.5,Love
5.2,India
3.4,Life
3.3,Student
3.1,Engineer
2.6,Music
1.7,Professional
1.6,News
1.5,Media
1.2,Entrepreneur
1.1,Politics
1.0,Software
1.0,Proud
1.0,Marketing
0.5,Hate
0.4,Hindu
0.4,Junkie
0.2,Economics
0.2,techie
0.2,Nationalist
0.2,Corruption
0.2,Secular
0.1,Pakistan
0.1,BJP
0.1,Congress
0.1,Modi
0.1,Pseudo
0.1,Paid
0.0,NaMo
0.0,reservation
0.0,sickular
0.0,merit
0.0,dynasty

Most occuring words in bio’s of the followers
% of followers having certain word in descripton,word(counted more than once if it exists in the bio of a user)
4.0,Love
3.4,Life
3.2,Student
3.1,India
2.5,Music
2.4,Indian
2.4,Engineer
2.3,Com
2.1,Lover
1.9,Writer
1.8,Journalist
1.7,Working
1.7,Social
1.7,World
1.6,Professional
1.6,News
1.5,Cricket
1.4,Media
1.4,Fan
1.3,Business
1.3,Simple
1.3,Person
1.3,Have
1.3,New
1.3,Http
1.2,People
1.2,Www
1.2,Loves
1.2,Just
1.2,Politics
1.1,Live
1.1,Do
1.1,More
1.1,Dreamer
1.1,Consultant
1.1,Good
1.1,Sports
1.0,Guy
1.0,Can
1.0,Entrepreneur
1.0,Marketing
1.0,Software
1.0,Enthusiast
1.0,Make
1.0,Time
1.0,Blogger
1.0,Friends
1.0,Proud
0.9,Profession
0.9,Very
0.9,Reader
0.9,Human
0.9,Man
0.9,Follow
0.9,Tech
0.9,Movie
0.9,Photographer
0.9,No
0.9,Movies
0.9,Always
0.9,Delhi
0.9,Know
0.9,Want
0.8,Fun
0.8,Management
0.8,Now
0.8,Will
0.8,Freak
0.8,Work
0.8,Travel
0.8,Interested
0.8,Passionate
0.8,Technology
0.8,Cool
0.8,Engineering
0.8,Manager
0.7,Twitter
0.7,Loving
0.7,Web
0.7,Food
0.7,Mba
0.7,Foodie
0.7,Living
0.7,Editor
0.7,Things
0.7,Director
0.7,Being
0.7,Buff
0.7,Books
0.7,Don
0.7,Believe
0.7,Addict
0.7,Avid
0.7,Also
0.6,Day
0.6,Own
0.6,Hi
0.6,Nature
0.6,Here
0.6,Photography

% of followers in time_zone,time_zone{Have taken only followers with non blank time_zone}
29.4,New Delhi
17.2,Hawaii
16.3,Mumbai
11.7,Chennai
6.4,Kolkata
2.6,Pacific Time (US & Canada)
1.8,Eastern Time (US & Canada)
1.8,London
1.6,Central Time (US & Canada)
1.4,Indiana (East)
1.4,Quito
1.2,Abu Dhabi
0.9,Alaska
0.4,Mountain Time (US & Canada)
0.4,Riyadh
0.4,Singapore
0.4,Islamabad
0.4,Dhaka
0.3,Greenland
0.3,Karachi
0.2,Arizona
0.2,Kuwait
0.2,Sydney
0.2,Kathmandu
0.2,Amsterdam
0.2,Berlin
0.1,Muscat
0.1,International Date Line West
0.1,Kuala Lumpur
0.1,Baghdad
0.1,Melbourne
0.1,Atlantic Time (Canada)
0.1,Paris
0.1,Hong Kong
0.1,Bangkok
0.1,Jakarta
0.1,Santiago
0.1,Tokyo
0.1,Nairobi
0.1,Brisbane
0.1,Almaty
0.1,Beijing
0.1,Sri Jayawardenepura
0.1,Athens
0.1,Pretoria
0.1,Casablanca
0.0,Edinburgh
0.0,Brasilia
0.0,Dublin

Handle = swamy39.txt

Number of followers = 77636

Percentage of followers, Location{Have taken only followers with non blank location into consideration}
10.2,New Delhi
9.7,India
7.7,Mumbai
7.7,Bangalore
6.4,Chennai
3.1,Hyderabad
2.5,Pune
1.3,Kolkata
1.1,Ahmedabad
1.0,Gurgaon
0.9,Dubai
0.8,London
0.8,Coimbatore
0.8,Singapore
0.8,Jaipur
0.7,Lucknow
0.7,Noida
0.5,Chandigarh
0.4,Surat
0.4,Indore
0.4,Nagpur
0.4,Bhopal
0.3,Bhubaneswar
0.3,Madurai
0.3,Patna
0.3,Vadodara
0.3,Kerala
0.3,Kanpur
0.3,Usa
0.2,New York
0.2,Guwahati
0.2,Trivandrum
0.2,Allahabad
0.2,Mysore
0.2,Ranchi
0.2,Dehradun
0.2,Mangalore
0.2,Cochin
0.2,Navi Mumbai
0.2,Ghaziabad
0.2,Toronto
0.2,Gujarat
0.2,Uk
0.2,Kochi
0.2,Sydney
0.2,Banglore
0.2,Varanasi
0.2,Kuwait
0.2,Raipur
0.1,Jodhpur
0.1,Melbourne
0.1,Jammu
0.1,Goa
0.1,Abu Dhabi
0.1,Mumbai India
0.1,Agra
0.1,Trichy
0.1,Ludhiana
0.1,Bahrain
0.1,Pondicherry
0.1,Chicago
0.1,Salem
0.1,Rajkot
0.1,Faridabad
0.1,Boston
0.1,Jamshedpur
0.1,Gwalior
0.1,Gandhinagar
0.1,United Kingdom
0.1,Tamil Nadu
0.1,Tamilnadu
0.1,Jabalpur
0.1,Punjab
0.1,Canada
0.1,Thane
0.1,Earth
0.1,Udaipur
0.1,Muscat
0.1,Uae
0.1,Erode
0.1,Nashik
0.1,Los Angeles
0.1,Visakhapatnam
0.1,California
0.1,Aurangabad
0.1,New Delhi India
0.1,Tirupur
0.1,Vellore
0.1,Thiruvananthapuram
0.1,Delhi India
0.1,Tirunelveli
0.1,Jalandhar
0.1,Kharagpur
0.1,Bangalore India
0.1,Everywhere
0.1,San Jose
0.1,Baroda
0.1,Srinagar
0.1,Doha

% of followers,followers_count of follower
7.9,<=0
33.8,>0 && <=10
14.3,>10 && <=20
18.7,>20 && <=50
17.8,>50 && <=200
6.4,>200 && <=1000
0.9,>1000 && <=5000
0.2,>5000 && <=25000
0.0,>25000 && <=200000
0.0,>200000 && <=100000000

% of followers,statuses_count of follower
11.4,<=0
24.2,>0 && <=10
8.4,>10 && <=20
12.3,>20 && <=50
17.7,>50 && <=200
15.3,>200 && <=1000
7.9,>1000 && <=5000
2.5,>5000 && <=25000
0.4,>25000 && <=200000
0.0,>200000 && <=100000000

% of followers,last status(of follower) created at(Number of days from now)
23.4,undef
23.5,<=7
16.0,>7 && <=30
14.0,>30 && <=90
18.9,>90 && <=365
3.2,>365 && <=730
0.9,>730 && <=1095
0.1,>1095 && <=2200
0.0,>2200 && <=22000

% of followers,account(of follower) created at(Number of days from now)
0.2,<=7
1.2,>7 && <=30
4.0,>30 && <=90
22.8,>90 && <=365
20.9,>365 && <=730
36.7,>730 && <=1095
14.3,>1095 && <=2200

% of followers having certain pattern in their bio’s,pattern
5.4,India
4.7,Love
3.2,Engineer
2.5,Life
2.3,Student
1.8,Music
1.5,Professional
1.4,Politics
1.3,Proud
1.2,News
1.2,Software
1.1,Entrepreneur
1.0,Media
0.9,Hindu
0.5,Marketing
0.5,Hate
0.5,Nationalist
0.4,BJP
0.3,Corruption
0.3,Junkie
0.2,Economics
0.2,Secular
0.2,techie
0.2,Modi
0.2,Congress
0.1,Pseudo
0.1,NaMo
0.1,Paid
0.0,sickular
0.0,Pakistan
0.0,reservation
0.0,dynasty
0.0,merit

Most occuring words in bio’s of the followers
% of followers having certain word in descripton,word(counted more than once if it exists in the bio of a user)
3.0,Bcd
2.9,Indian
2.9,India
2.6,Engineer
2.6,Love
2.5,Life
2.3,Student
1.7,Music
1.7,Working
1.5,Lover
1.5,Social
1.5,Com
1.5,Politics
1.4,Professional
1.4,Cricket
1.3,Fan
1.3,Proud
1.2,World
1.2,Journalist
1.2,Software
1.2,News
1.2,Bbf
1.1,Writer
1.1,Business
1.0,Entrepreneur
1.0,Loves
1.0,Do
1.0,Consultant
1.0,Have
0.9,Interested
0.9,Media
0.9,Profession
0.9,Person
0.9,Just
0.9,Time
0.9,Simple
0.9,People
0.9,Man
0.9,New
0.9,Enthusiast
0.9,Bae
0.9,Http
0.8,Live
0.8,Sports
0.8,Good
0.8,Guy
0.8,More
0.8,Can
0.8,Www
0.8,Bbe
0.8,Now
0.8,Human
0.8,Baa
0.7,Hindu
0.7,Technology
0.7,Will
0.7,Tech
0.7,Dreamer
0.7,Reader
0.7,No
0.7,Management
0.7,Political
0.7,Blogger
0.7,Movie
0.7,Living
0.7,Want
0.7,Work
0.7,Movies
0.6,Always
0.6,Know
0.6,Delhi
0.6,Make
0.6,Manager
0.6,Very
0.6,Freak
0.6,Engineering
0.6,Nature
0.6,Travel
0.6,Views
0.6,Follow
0.6,Being
0.6,Tweets
0.6,Mba
0.6,Photographer
0.5,Fun
0.5,Activist
0.5,Things
0.5,Personal
0.5,Avid
0.5,Buff
0.5,Marketing
0.5,Friends
0.5,Thinker
0.5,Twitter
0.5,Addict
0.5,Believe
0.5,Trying
0.5,Passionate
0.5,Also
0.5,Own

% of followers in time_zone,time_zone{Have taken only followers with non blank time_zone}
28.6,New Delhi
19.7,Chennai
16.0,Mumbai
14.7,Hawaii
3.6,Kolkata
2.3,Pacific Time (US & Canada)
2.0,Eastern Time (US & Canada)
1.6,Central Time (US & Canada)
1.6,London
1.5,Quito
1.2,Abu Dhabi
0.9,Indiana (East)
0.7,Alaska
0.7,Singapore
0.4,Mountain Time (US & Canada)
0.3,Riyadh
0.2,Kuwait
0.2,Arizona
0.2,Amsterdam
0.2,Greenland
0.2,Berlin
0.2,Atlantic Time (Canada)
0.2,Sydney
0.1,Kuala Lumpur
0.1,Melbourne
0.1,Paris
0.1,Baghdad
0.1,International Date Line West
0.1,Muscat
0.1,Tokyo
0.1,Kathmandu
0.1,Bangkok
0.1,Casablanca
0.1,Dublin
0.1,Nairobi
0.1,Athens
0.1,Dhaka
0.1,Stockholm
0.1,Beijing
0.1,Hong Kong
0.1,Edinburgh
0.1,Seoul
0.1,Sri Jayawardenepura
0.1,Central America
0.0,Pretoria
0.0,Helsinki
0.0,Islamabad
0.0,Bern
0.0,Karachi

Handle = swaraj_india.txt

Number of followers = 1181

Percentage of followers, Location{Have taken only followers with non blank location into consideration}
11.7,India
10.2,New Delhi
8.8,Mumbai
8.3,Bangalore
2.8,Chennai
2.2,Pune
2.2,Hyderabad
1.2,Singapore
1.2,Ahmedabad
1.0,Gurgaon
0.7,Noida
0.7,Kolkata
0.6,Lucknow
0.6,Dubai
0.6,Coimbatore
0.5,New York
0.5,Usa
0.5,Chandigarh
0.4,Bangladesh
0.4,Patna
0.4,Pakistan
0.4,Hong Kong
0.4,Kolkata India
0.4,Sydney
0.4,Vadodara
0.4,Silicon Valley
0.4,Kharagpur
0.4,London
0.4,Everywhere
0.4,Washington Dc
0.2,On Facebook At
0.2,Indore
0.2,Goa
0.2,Nagpur
0.2,Thrissur
0.2,Kollam
0.2,Kanpur
0.2,Trivandrum
0.2,Uk
0.2,Dilli
0.2,Earth
0.2,Michigan
0.2,Bhagyanagaram
0.2,Jammu
0.2,Houston
0.2,Twitter
0.2,Velachha
0.2,Dhaka
0.2,Germany
0.2,Surat
0.2,South India
0.2,Australia
0.2,Canada
0.2,Hyderabad India
0.1,Timbuktur
0.1,Doha
0.1,Shadows
0.1,28.546842
0.1,San Jose
0.1,Jaipur Rajasthan India
0.1,Colorado
0.1,Usually Pune
0.1,South Africa
0.1,World Citizen
0.1,Hyderabad.
0.1,22\X{B0}54\X{2032}N 72\X{B0}90\X{2032}E
0.1,Baraut
0.1,Agra
0.1,Tokyo
0.1,Banglore
0.1,In
0.1,Bombay/Vizag
0.1,Akber Road Newdelhi India
0.1,Manila
0.1,Glasgow
0.1,Lahore/Brighton/London/Spain
0.1,Dehradun India
0.1,Nyc
0.1,Belgium For Now
0.1,Kudithipalli
0.1,12.679733
0.1,Mauritius
0.1,Virar
0.1,Madrasapattinam
0.1,\X{Dc}T: 12.90608
0.1,Netherlands
0.1,Japan
0.1,Bhaarat Atleast In Spirit 🙂
0.1,Jakarta
0.1,Haryana (India)
0.1,Winchester
0.1,I Am Here. You Are There.
0.1,India & Usa
0.1,Marina Beach/Sv Road
0.1,Bits-Pilani
0.1,Cohasset
0.1,N 19\X{B0}4′ 0” / E 72\X{B0}59′ 0”
0.1,Out Of India
0.1,Gujarat

% of followers,followers_count of follower
2.6,<=0
9.3,>0 && <=10
6.5,>10 && <=20
13.2,>20 && <=50
30.2,>50 && <=200
26.6,>200 && <=1000
8.7,>1000 && <=5000
2.2,>5000 && <=25000
0.4,>25000 && <=200000
0.2,>200000 && <=100000000

% of followers,statuses_count of follower
3.8,<=0
8.7,>0 && <=10
4.9,>10 && <=20
6.1,>20 && <=50
11.1,>50 && <=200
19.3,>200 && <=1000
24.5,>1000 && <=5000
16.4,>5000 && <=25000
5.2,>25000 && <=200000

% of followers,last status(of follower) created at(Number of days from now)
13.0,undef
52.8,<=7
16.1,>7 && <=30
8.7,>30 && <=90
8.6,>90 && <=365
0.8,>365 && <=730

% of followers,account(of follower) created at(Number of days from now)
0.5,<=7
2.9,>7 && <=30
2.7,>30 && <=90
20.5,>90 && <=365
19.5,>365 && <=730
30.1,>730 && <=1095
23.9,>1095 && <=2200

% of followers having certain pattern in their bio’s,pattern
13.8,India
7.7,Love
5.2,Politics
3.8,News
3.8,Hindu
3.0,Life
3.0,Engineer
2.7,Student
2.7,Entrepreneur
2.6,Nationalist
2.4,Music
2.4,Proud
1.9,Junkie
1.9,Media
1.7,Professional
1.4,Secular
1.3,Economics
1.2,BJP
1.2,Hate
1.0,Congress
0.8,Marketing
0.8,Software
0.8,Corruption
0.6,Modi
0.6,techie
0.4,NaMo
0.3,Pseudo
0.3,Pakistan
0.3,sickular
0.2,dynasty
0.1,reservation
0.1,Paid

Most occuring words in bio’s of the followers
% of followers having certain word in descripton,word(counted more than once if it exists in the bio of a user)
8.9,India
5.8,Indian
5.5,Politics
4.2,Com
4.0,Love
3.6,News
3.6,Http
3.5,Hindu
2.9,Social
2.9,Writer
2.8,Views
2.7,Right
2.7,Lover
2.6,Nationalist
2.6,Cricket
2.5,Engineer
2.5,Student
2.5,Personal
2.5,Life
2.4,Proud
2.3,World
2.2,Music
2.1,Have
2.1,Entrepreneur
2.0,Want
2.0,Tweets
1.9,Will
1.9,Endorsements
1.9,Just
1.9,Rts
1.9,Fan
1.9,Do
1.9,Interested
1.9,Media
1.9,Junkie
1.9,Twitter
1.8,Good
1.8,Consultant
1.7,Own
1.7,Free
1.7,New
1.6,Blogger
1.6,People
1.6,Reader
1.5,Professional
1.5,Follow
1.5,More
1.5,Business
1.4,Make
1.4,Www
1.4,Anti
1.4,Sports
1.4,Here
1.4,Political
1.4,Can
1.4,No
1.4,Time
1.4,Loves
1.4,Tech
1.4,Tweet
1.3,Always
1.3,Believe
1.3,Policy
1.3,Also
1.3,Man
1.3,Day
1.3,Research
1.3,Know
1.3,Activist
1.3,Being
1.3,Economics
1.3,Finance
1.2,Human
1.2,Wannabe
1.2,Working
1.2,Bjp
1.2,Work
1.2,Enthusiast
1.2,Secular
1.2,Interests
1.1,Food
1.1,Other
1.1,Journalist
1.1,Get
1.1,Passionate
1.1,Management
1.1,Self
1.0,Science
1.0,Books
1.0,Much
1.0,Development
1.0,Avid
1.0,Public
1.0,Opinions
1.0,History
1.0,Technology
1.0,Society
1.0,Live
0.9,Way
0.9,Truth

% of followers in time_zone,time_zone{Have taken only followers with non blank time_zone}
26.5,New Delhi
16.6,Mumbai
15.4,Chennai
13.2,Hawaii
3.4,Quito
3.0,Eastern Time (US & Canada)
2.7,Central Time (US & Canada)
2.5,Kolkata
1.7,Pacific Time (US & Canada)
1.6,London
1.6,Singapore
1.4,Mountain Time (US & Canada)
0.9,Abu Dhabi
0.7,Berlin
0.7,Hong Kong
0.7,Greenland
0.6,Atlantic Time (Canada)
0.6,Amsterdam
0.6,Indiana (East)
0.5,Dhaka
0.5,Alaska
0.3,Sydney
0.3,Canberra
0.3,Karachi
0.2,Warsaw
0.2,Beijing
0.2,Arizona
0.2,Athens
0.2,Melbourne
0.2,International Date Line West
0.2,Jakarta
0.2,Kuwait
0.2,Islamabad
0.1,Kuala Lumpur
0.1,Muscat
0.1,Volgograd
0.1,Dublin
0.1,Bern
0.1,Osaka
0.1,Rome
0.1,Brisbane
0.1,Almaty
0.1,Nairobi
0.1,Chongqing
0.1,Santiago
0.1,Riyadh
0.1,Cairo
0.1,Baghdad
0.1,Mid-Atlantic

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