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SWIM: fostering social network based information search
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Source Conference on Human Factors in Computing Systems archive
CHI '04 extended abstracts on Human factors in computing systems table of contents
Vienna, Austria
POSTER SESSION: Late breaking posters table of contents
Pages: 1568 - 1568  
Year of Publication: 2004
ISBN:1-58113-703-6
Authors
Jun Zhang  University of Michigan, Ann Arbor, MI
Marshall Van Alstyne  University of Michigan, Ann Arbor, MI
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 7,   Downloads (12 Months): 54,   Citation Count: 2
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ABSTRACT

Compare to searching online information directly, asking friends or finding referral to a human expert is preferred in many information-gathering tasks. It's easier to judge the quality of the information from a personal referral as well as to obtain information that is not publicly published [1]. Instant Messaging (IM) has potentials to effectively support such social network based information seeking [3], which are not fully explored other than providing better communications. For instance, a user usually does not know what his friends' friends know. If none of his friends in his IM buddy list knows the sought information, he either gives up this search method or needs intensive personal helps from a friend who transfers questions and answers in between.Previous studies indicated that it is feasible to add social network search functionalities to IM systems. Watts et al. [2] found that social networks have the surprising property of being searchable. Systems such as ReferralWeb [1], show that it is possible to mine people's social relationships and information identities from electronic resources and use them for referral or matchmaker purposes. Based on these ideas, we designed and implemented the Small World Instant Messenger (SWIM).


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Kautz, H. A., Selman, B., and Shak, M. The Hidden Web. AI Maganzine, 18(2), 27--36, 1997.
 
2
Watts, D., Dodds, P., Newman, M. Identity and Search in Social Networks. Science 296, 1302--1305, 2002.
3


Collaborative Colleagues:
Jun Zhang: colleagues
Marshall Van Alstyne: colleagues