Structure and time evolution of an Internet dating community
Holme, P. ; Edling, Christofer LU
and Liljeros, F.
(2004)
In Social Networks
26.
p.155-174
- Abstract
- We present statistics for the structure and time evolution of a network constructed from user activity in an Internet community. The vastness and precise time resolution of an Internet community offers unique possibilities to monitor social network formation and dynamics. Time evolution of well-known quantities, such as clustering, mixing (degree-degree correlations), average geodesic length, degree, and reciprocity is studied. In contrast to earlier analyses of scientific collaboration networks, mixing by degree between vertices is found to be disassortative. Furthermore, both the evolutionary trajectories of the average geodesic length and of the clustering coefficients are found to have minima. (C) 2004 Elsevier B.V. All rights reserved.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/2301134
- author
- Holme, P.
; Edling, Christofer
LU
and Liljeros, F.
- publishing date
- 2004
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- sociologi, sociology, time evolution, communication, complex networks, small-world networks, dynamics, Internet community, social networks
- in
- Social Networks
- volume
- 26
- pages
- 155 - 174
- publisher
- Elsevier
- external identifiers
-
- scopus:1842661569
- ISSN
- 0378-8733
- language
- English
- LU publication?
- no
- id
- e8518372-1a3f-415e-896f-9d2557919f6d (old id 2301134)
- date added to LUP
- 2016-04-04 12:55:04
- date last changed
- 2022-04-24 02:17:06
@article{e8518372-1a3f-415e-896f-9d2557919f6d,
abstract = {{We present statistics for the structure and time evolution of a network constructed from user activity in an Internet community. The vastness and precise time resolution of an Internet community offers unique possibilities to monitor social network formation and dynamics. Time evolution of well-known quantities, such as clustering, mixing (degree-degree correlations), average geodesic length, degree, and reciprocity is studied. In contrast to earlier analyses of scientific collaboration networks, mixing by degree between vertices is found to be disassortative. Furthermore, both the evolutionary trajectories of the average geodesic length and of the clustering coefficients are found to have minima. (C) 2004 Elsevier B.V. All rights reserved.}},
author = {{Holme, P. and Edling, Christofer and Liljeros, F.}},
issn = {{0378-8733}},
keywords = {{sociologi; sociology; time evolution; communication; complex networks; small-world networks; dynamics; Internet community; social networks}},
language = {{eng}},
pages = {{155--174}},
publisher = {{Elsevier}},
series = {{Social Networks}},
title = {{Structure and time evolution of an Internet dating community}},
volume = {{26}},
year = {{2004}},
}