Name
Abstract | ||
|---|---|---|
Analysis of an unusually detailed telephone call data set --- a month of
nearly all mobile and landline phone calls placed during August 2005 the United
Kingdom --- allows us to identify several different types of social networks
that are formed, and relate them to different activities that generate them. We
distinguish, among others, work-related and personal or leisure-focused
activities and show that the networks they form have very different
characteristics. Our principal tool for the analysis, k-core decomposition,
shows that distinct distributions of connectivity are present in the two
spheres, and that this differentiation affects dramatically the dynamics of
information diffusion. Both differ from the simpler and more globally connected
structure evident in communications data such as the Internet AS graph. |
Year | Venue | Keywords |
|---|---|---|
2010 | Clinical Orthopaedics and Related Research | social network |
Field | DocType | Volume |
Telephone call,Graph,World Wide Web,Social network,Computer science,Phone,Landline,The Internet | Journal | abs/1008.1 |
Citations | PageRank | References |
4 | 0.52 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Manuel Cebrián | 1 | 387 | 38.52 |
| Alex Pentland | 2 | 18006 | 4853.13 |
| Scott Kirkpatrick | 3 | 4 | 0.52 |