Publication Date:
2006-01-10
Description:
Social networks evolve over time, driven by the shared activities and affiliations of their members, by similarity of individuals' attributes, and by the closure of short network cycles. We analyzed a dynamic social network comprising 43,553 students, faculty, and staff at a large university, in which interactions between individuals are inferred from time-stamped e-mail headers recorded over one academic year and are matched with affiliations and attributes. We found that network evolution is dominated by a combination of effects arising from network topology itself and the organizational structure in which the network is embedded. In the absence of global perturbations, average network properties appear to approach an equilibrium state, whereas individual properties are unstable.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Kossinets, Gueorgi -- Watts, Duncan J -- New York, N.Y. -- Science. 2006 Jan 6;311(5757):88-90.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Sociology and Institute for Social and Economic Research and Policy, Columbia University, 420 West 118th Street, MC 3355, New York, NY 10027, USA. gk297@columbia.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/16400149" target="_blank"〉PubMed〈/a〉
Keywords:
*Electronic Mail
;
Faculty
;
Female
;
Humans
;
*Interpersonal Relations
;
Male
;
Probability
;
Proportional Hazards Models
;
*Social Behavior
;
*Social Support
;
Students
;
Survival Analysis
;
Universities
Print ISSN:
0036-8075
Electronic ISSN:
1095-9203
Topics:
Biology
,
Chemistry and Pharmacology
,
Computer Science
,
Medicine
,
Natural Sciences in General
,
Physics
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