SNAP/soc-Pokec
SNAP network: soc-Pokec Slovakian social network
| Name | soc-Pokec |
|---|---|
| Group | SNAP |
| Matrix ID | 2789 |
| Num Rows | 1,632,803 |
| Num Cols | 1,632,803 |
| Nonzeros | 30,622,564 |
| Pattern Entries | 30,622,564 |
| Kind | Directed Graph |
| Symmetric | No |
| Date | 2012 |
| Author | L. Takac, M. Zabovsky |
| Editor | J. Leskovec |
| Download | MATLAB Rutherford Boeing Matrix Market |
|---|---|
| Notes |
SNAP (Stanford Network Analysis Platform) Large Network Dataset Collection,
Jure Leskovec and Anrej Krevl, http://snap.stanford.edu/data, June 2014.
email: jure at cs.stanford.edu
soc-Pokec social network
https://snap.stanford.edu/data/soc-Pokec.html
Dataset information
Pokec (http://pokec.azet.sk/) is the most popular on-line social network in
Slovakia. The popularity of network has not changed even after the coming
of Facebook. Pokec has been provided for more than 10 years and connects
more than 1.6 million people. Datasets contains anonymized data of the
whole network. Profile data contains gender, age, hobbies, interest,
education etc. Profile data are in Slovak language. Friendships in Pokec
are oriented.
Dataset statistics
Nodes 1,632,803
Edges 30,622,564
Nodes in largest WCC 1632803 (1.000)
Edges in largest WCC 30622564 (1.000)
Nodes in largest SCC 1304537 (0.799)
Edges in largest SCC 29183655 (0.953)
Average clustering coefficient 0.1094
Number of triangles 32557458
Fraction of closed triangles 0.01611
Diameter (longest shortest path) 11
90-percentile effective diameter 5.2
Source (citation)
L. Takac, M. Zabovsky. Data Analysis in Public Social Networks,
International Scientific Conference & International Workshop Present Day
Trends of Innovations, May 2012 Lomza, Poland.
https://snap.stanford.edu/data/soc-pokec.pdf
Files
File Description
soc-pokec-relationships.txt.gz User relationship data
soc-pokec-profiles.txt.gz User profile data
soc-pokec-readme.txt Description of files
soc-pokec-readme.txt:
========================================================================
Pokec social network
========================================================================
Pokec is the most popular Slovak on-line social network. These datasets
are anonymized and contains relationships and user profile data of the
whole network. Profile data are in Slovak language. Friendships in the
Pokec network are oriented. Datasets were crawled during MAY 25-27 2012.
Author: Lubos Takac, lubos.takac@gmail.com
DATASET STATISTICS:
Nodes ............................ 1,632,803
Edges ............................ 30,622,564
Nodes in largest WCC ............. 1,632,803 (1.000)
Edges in largest WCC ............. 30,622,564 (1.000)
Nodes in largest SCC ............. 1,304,537 (0.799)
Edges in largest SCC ............. 29,183,655 (0.953)
Average clustering coefficient ... 0.1094
Number of triangles .............. 32557458
Fraction of closed triangles ..... 0.01611
Diameter (longest shortest path) . 11
90-percentile effective diameter . 5.3
FILES:
soc-pokec-relationships.txt
Contains friendship relations between users. There is one relation per
line. Values in the line are tab separated. For example if a row
contains 3 5, this means that user 3 has a friend: user 5.
soc-pokec-profiles.txt
Contains profile data in a tab separated form. Columns with no data
contain the string "null". Data are in Slovak Language.
Columns (attributes):
user_id
public
completion_percentage
gender
region
last_login
registration
AGE
body
I_am_working_in_field
spoken_languages
hobbies
I_most_enjoy_good_food
pets
body_type
my_eyesight
eye_color
hair_color
hair_type
completed_level_of_education
favourite_color
relation_to_smoking
relation_to_alcohol
sign_in_zodiac
on_pokec_i_am_looking_for
love_is_for_me
relation_to_casual_s_x
my_partner_should_be
marital_status
children
relation_to_children
I_like_movies
I_like_watching_movie
I_like_music
I_mostly_like_listening_to_music
the_idea_of_good_evening
I_like_specialties_from_kitchen
fun
I_am_going_to_concerts
my_active_sports
my_passive_sports
profession
I_like_books
life_style
music
cars
politics
relationships
art_culture
hobbies_interests
science_technologies
computers_internet
education
sport
movies
travelling
health
companies_brands
more
Column descriptions:
user_id:
integer, users' nicknames were mapped to integers
public:
bool, 1 - all friendships are public
completion_percentage:
integer, percentage proportion of filled values
gender:
bool, 1 - man
region:
string, mostly regions in Slovakia (example: "zilinsky kraj,
kysucke nove mesto" means county Zilina, town Kysucke Nove Mesto,
Slovakia), some foreign countries (example: "zahranicie,
zahranicie - nemecko" means foreign country Germany (nemecko)),
some Czech regions (example: "ceska republika, cz - ostravsky
kraj" means Czech Republic, county Ostrava (ostravsky kraj))
last_login:
datetime, last time at which the user has logged in
registration:
datetime, time at which the user registered at the site
age:
integer, 0 - age attribute not set
Notes:
Other attributes are free fillable by user. They contain opinions
in text form or URL of club which the user prefer. There are 163
records without any data and completion_percentage=0. (I think that
these are the profiles of people who have canceled their accounts
during the data crawling.)
---------------------------------------------------------------------------
Notes on inclusion into the SuiteSparse Matrix Collection, July 2018:
---------------------------------------------------------------------------
The SNAP data set is 1-based with nodes numbered 1 to 1,632,803. In the
SuiteSparse Matrix Collection, Problem.A is the directed graph, where
A(i,j)=1 means person i states that person j is their friend. The value
A(i,j) can differ from A(j,i). That is, the friend list of person i is
A(i,:), and it can include person j. But the friend list of person j,
which is A(j,:) need not include person i.
The profiles are stored in Problem.aux, with one array of size n-by-* for
each component of the profile. Most fields are strings (even age, which
can be 'null'). Only user_id, public, and completion_percentage are
numeric.
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