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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.
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author
publishing date
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
2012-01-24 14:06:29
date last changed
2016-10-30 04:42:10
@misc{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},
  keyword      = {sociologi,sociology,time evolution,communication,complex networks,small-world networks,dynamics,Internet community,social networks},
  language     = {eng},
  pages        = {155--174},
  publisher    = {ARRAY(0x879c650)},
  series       = {Social Networks},
  title        = {Structure and time evolution of an Internet dating community},
  volume       = {26},
  year         = {2004},
}