How to search a social network

被引:290
作者
Adamic, L [1 ]
Adar, E [1 ]
机构
[1] HP Labs, Palo Alto, CA 94304 USA
关键词
social networks; small world experiment; online communities; email analysis;
D O I
10.1016/j.socnet.2005.01.007
中图分类号
Q98 [人类学];
学科分类号
030303 ;
摘要
We address the question of how participants in a small world experiment are able to find short paths in a social network using only local information about their immediate contacts. We simulate such experiments on a network of actual email contacts within an organization as well as on a student social networking website. On the email network we find that small world search strategies using a contact's position in physical space or in an organizational hierarchy relative to the target can effectively be used to locate most individuals. However, we find that in the online student network, where the data is incomplete and hierarchical structures are not well defined, local search strategies are less effective. We compare our findings to recent theoretical hypotheses about underlying social structure that would enable these simple search strategies to succeed and discuss the implications to social software design. (c) 2005 Elsevier B.V. All rights reserved.
引用
收藏
页码:187 / 203
页数:17
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