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Conference Paper: Locating experts via online social networks
Title | Locating experts via online social networks |
---|---|
Authors | |
Keywords | Analytical expressions Information flows Multi-step Performance metrics Random walk |
Issue Date | 2010 |
Publisher | IEEE. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000104 |
Citation | The IEEE International Conference on Communications (ICC) 2010, Cape Town, South Africa, 23-27 May 2010. In Proceedings of the IEEE ICC, 2010, p. 1-5 How to Cite? |
Abstract | Online social networking systems provide indirect access to a large number of people connected by multi-step chains of acquaintances, and plays an important role in the referrals for human information flow. In this paper, from a networking point of view, we study the problem of locating experts for relevant information via online social networks. We model the action of forwarding a question with random walk, adjusted by a node's awareness of the potential expertise of his immediate neighbours. Using the model we derive analytical expressions of the performance metrics of a referral session in terms of the nodes' awareness level of their neighbours and the percentage of nodes that may have answers to the posed question. We also utilize several real online social networks to study the modeled question-forwarding strategy, and find that the simulation results validate our analyses. ©2010 IEEE. |
Persistent Identifier | http://hdl.handle.net/10722/126120 |
ISSN | 2023 SCImago Journal Rankings: 0.861 |
References |
DC Field | Value | Language |
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dc.contributor.author | Xu, K | en_HK |
dc.contributor.author | Xie, J | en_HK |
dc.contributor.author | Li, VOK | en_HK |
dc.date.accessioned | 2010-10-31T12:10:52Z | - |
dc.date.available | 2010-10-31T12:10:52Z | - |
dc.date.issued | 2010 | en_HK |
dc.identifier.citation | The IEEE International Conference on Communications (ICC) 2010, Cape Town, South Africa, 23-27 May 2010. In Proceedings of the IEEE ICC, 2010, p. 1-5 | en_HK |
dc.identifier.issn | 0536-1486 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/126120 | - |
dc.description.abstract | Online social networking systems provide indirect access to a large number of people connected by multi-step chains of acquaintances, and plays an important role in the referrals for human information flow. In this paper, from a networking point of view, we study the problem of locating experts for relevant information via online social networks. We model the action of forwarding a question with random walk, adjusted by a node's awareness of the potential expertise of his immediate neighbours. Using the model we derive analytical expressions of the performance metrics of a referral session in terms of the nodes' awareness level of their neighbours and the percentage of nodes that may have answers to the posed question. We also utilize several real online social networks to study the modeled question-forwarding strategy, and find that the simulation results validate our analyses. ©2010 IEEE. | en_HK |
dc.language | eng | en_HK |
dc.publisher | IEEE. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000104 | - |
dc.relation.ispartof | Proceedings of the IEEE International Conference on Communications | en_HK |
dc.rights | ©2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. | - |
dc.subject | Analytical expressions | - |
dc.subject | Information flows | - |
dc.subject | Multi-step | - |
dc.subject | Performance metrics | - |
dc.subject | Random walk | - |
dc.title | Locating experts via online social networks | en_HK |
dc.type | Conference_Paper | en_HK |
dc.identifier.openurl | http://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1550-3607&volume=&spage=1&epage=5&date=2010&atitle=Locating+experts+via+online+social+networks | - |
dc.identifier.email | Li, VOK:vli@eee.hku.hk | en_HK |
dc.identifier.authority | Li, VOK=rp00150 | en_HK |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.1109/ICC.2010.5502193 | en_HK |
dc.identifier.scopus | eid_2-s2.0-77955357697 | en_HK |
dc.identifier.hkuros | 181398 | en_HK |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-77955357697&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.spage | 1 | - |
dc.identifier.epage | 5 | - |
dc.description.other | The IEEE International Conference on Communications (ICC) 2010, Cape Town, South Africa, 23-27 May 2010. In Proceedings of the IEEE ICC, 2010, p. 1-5 | - |
dc.identifier.scopusauthorid | Xu, K=35101233700 | en_HK |
dc.identifier.scopusauthorid | Xie, J=7402994697 | en_HK |
dc.identifier.scopusauthorid | Li, VOK=7202621685 | en_HK |
dc.identifier.citeulike | 7574103 | - |
dc.identifier.issnl | 0536-1486 | - |