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  • *Social Support  (3)
  • American Association for the Advancement of Science (AAAS)  (3)
  • 1
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    American Association for the Advancement of Science (AAAS)
    Publication Date: 2002-05-23
    Description: Social networks have the surprising property of being "searchable": Ordinary people are capable of directing messages through their network of acquaintances to reach a specific but distant target person in only a few steps. We present a model that offers an explanation of social network searchability in terms of recognizable personal identities: sets of characteristics measured along a number of social dimensions. Our model defines a class of searchable networks and a method for searching them that may be applicable to many network search problems, including the location of data files in peer-to-peer networks, pages on the World Wide Web, and information in distributed databases.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Watts, Duncan J -- Dodds, Peter Sheridan -- Newman, M E J -- New York, N.Y. -- Science. 2002 May 17;296(5571):1302-5.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Sociology, Columbia University, New York, NY 10027, USA. djw24@columbia.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/12016312" target="_blank"〉PubMed〈/a〉
    Keywords: Algorithms ; *Group Processes ; Humans ; *Interpersonal Relations ; *Models, Theoretical ; Social Distance ; *Social Support
    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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  • 2
    Publication Date: 2003-08-09
    Description: We report on a global social-search experiment in which more than 60,000 e-mail users attempted to reach one of 18 target persons in 13 countries by forwarding messages to acquaintances. We find that successful social search is conducted primarily through intermediate to weak strength ties, does not require highly connected "hubs" to succeed, and, in contrast to unsuccessful social search, disproportionately relies on professional relationships. By accounting for the attrition of message chains, we estimate that social searches can reach their targets in a median of five to seven steps, depending on the separation of source and target, although small variations in chain lengths and participation rates generate large differences in target reachability. We conclude that although global social networks are, in principle, searchable, actual success depends sensitively on individual incentives.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Dodds, Peter Sheridan -- Muhamad, Roby -- Watts, Duncan J -- New York, N.Y. -- Science. 2003 Aug 8;301(5634):827-9.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Institute for Social and Economic Research and Policy, Columbia University, 420 West 118th Street, New York, NY 10027, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/12907800" target="_blank"〉PubMed〈/a〉
    Keywords: *Electronic Mail ; Family ; Female ; *Friends ; Humans ; Internet ; *Interpersonal Relations ; Male ; Siblings ; *Social Support ; Work
    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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  • 3
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    American Association for the Advancement of Science (AAAS)
    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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