Dublin Core
Titre
Structure of neighborhoods in a large social network
Sujet
[INFO:INFO_DS] Computer Science/Data Structures and Algorithms
[INFO:INFO_DB] Computer Science/Databases
[INFO:INFO_NI] Computer Science/Networking and Telecommunication
[SHS:STAT] Humanities and Social Sciences/Methods and statistics
social networks
roles
patterns
complex networks
personal networks
graph-mining
data-mining
Description
We present here a method for analyzing the neighborhoods of all the vertices in a large graph. We first give an algorithm for characterizing a simple undirected graph that relies on enumeration of small induced subgraphs. We make a step further in this direction by identifying not only subgraphs but also the positions occupied by the different vertices of the graph. We are thus able to compute the roles played by the vertices of the graph, roles found according to a new definition that we introduce. We apply this method to the neighborhood of each vertex in a 2.7M vertices, 6M edges mobile phone graph. We analyze how the contacts of each person are connected to each other and the positions they occupy in the neighborhood network. Then we compare their quantity of communication (duration and frequency) to their positions, finding that the two are not independent. We finally interpret and explain the results using social studies on phone communications.
Créateur
Stoica, Alina
Prieur, Christophe
Date
2009-02-06
Langue
ENG
Type
preprint
Identifiant
http://hal.archives-ouvertes.fr/hal-00359464
http://hal.archives-ouvertes.fr/docs/00/35/94/64/PDF/stpr.pdf