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Expertise Search in a Time-Varying Social Network

Yize Li, Jie Tang
2008 2008 The Ninth International Conference on Web-Age Information Management  
This paper is concerned with the problem of expertise search in a time-varying social network.  ...  Specifically, the time information is modelled in a forward-and-backward propagation process in the random walk. The proposed model has been applied to expertise search in an academic social network.  ...  Conclusion In this paper, we have investigated the problem of expertise search in a heterogeneous social network. We have formalized the heterogeneous social network using a random walk model.  ... 
doi:10.1109/waim.2008.100 dblp:conf/waim/LiT08 fatcat:xrsdcjhawndk3pkdkdonlib2im

EOS

Juanzi Li, Jie Tang, Jing Zhang, Qiong Luo, Yunhao Liu, Mingcai Hong
2007 Proceedings of the 16th international conference on World Wide Web - WWW '07  
In this paper, we present the design and implementation of our expertise oriented search (EOS) system. EOS is a researcher social network system.  ...  The relationship in the social network information is used in both ranking experts on a given topic and searching for associations between researchers.  ...  In expert search, the average search time is 2-5 seconds testing on expert finding tasks on 10 topics. In association search, the average search time in the network is less than 3 seconds.  ... 
doi:10.1145/1242572.1242803 dblp:conf/www/LiTZLLH07 fatcat:2xrzpmvuwvbgbal4dwp2m3q3w4

Searching for expertise in social networks

Jun Zhang, Mark S. Ackerman
2005 Proceedings of the 2005 international ACM SIGGROUP conference on Supporting group work - GROUP '05  
People search for people with suitable expertise all of the time in their social networks -to answer questions or provide help. Recently, efforts have been made to augment this searching.  ...  In this section, we first review the rich literature about searching for people in social networks.  ...  • People in a social network vary in their expertise, status, availability, and sociability.  ... 
doi:10.1145/1099203.1099214 dblp:conf/group/ZhangA05 fatcat:w7qknb53o5eazgoy77etoobrt4

Expertise Discovery in Decentralised Online Social Networks

Safina Showkat Ara, Subhasis Thakur, John G. Breslin
2017 Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017 - ASONAM '17  
In this paper we propose to use crowd sourcing for information retrieval in a DSN. We analyze a popular information retrieval problem called expert search in a social network.  ...  Using experimental evaluation, we show that, the search algorithms proposed in this paper can be as ecient as a greedy search algorithm with access to entire social network information.  ...  The social search procedure has similarities with (a) infection propagation in a network [11, 14] , (b) rumour propagation in a social network [19] and (c) models of biological infection outbreaks  ... 
doi:10.1145/3110025.3110048 dblp:conf/asunam/AraTB17 fatcat:5gzquhx7cbcuviwjhnye5mj5em

Searching for expertise

Kate Ehrlich, N. Sadat Shami
2008 Proceeding of the twenty-sixth annual CHI conference on Human factors in computing systems - CHI '08  
An analysis of the reasons for their search revealed that people in client facing roles are primarily seeking to have a dialog with an expert, while others are just as likely to seek answers to technical  ...  We conducted a study of 75 employees who were current users of an expertise locator system.  ...  for personal networks, familiarity over quality in intranet searches.  ... 
doi:10.1145/1357054.1357224 dblp:conf/chi/EhrlichS08 fatcat:qd5hz66txrcg3o72pcx3lw74fy

Searching for experts in the enterprise

Kate Ehrlich, Ching-Yung Lin, Vicky Griffiths-Fisher
2007 Proceedings of the 2007 international ACM conference on Conference on supporting group work - GROUP '07  
This paper provides a user study of SmallBlue, a social-context-aware expertise search system that can be used to identify experts, see dynamic profile information and get information about the degrees  ...  The system uses an innovative approach to privacy to infer content and dynamic social networks from email and chat logs.  ...  OVERVIEW OF SMALLBLUE SmallBlue proposed by Lin [19] is an expertise search and social network analysis suite that automatically captures and visualizes social networks.  ... 
doi:10.1145/1316624.1316642 dblp:conf/group/EhrlichLG07 fatcat:v42i3rnrzjcwpc6zws26ynmrnm

Perspective of Consumers Network Positions on Information Searching Behaviour of Experts and Novices

Fakhraddin Maroofi, Sahel Aazami
2015 Journal of Applied Sciences  
Regarding to the importance of social networks in consumer decision making, this research indicates the effect and importance of consumer's network position on information searching for behavior of experts  ...  A B S T R A C T Results from two studies depending on consumers' network positions (outer or central), experts and novices behave when searching information about their networks or commodity's related  ...  Thus, a longitudinal analysis is appropriate in identifying the changes in behavior and consumers' network positions over time.  ... 
doi:10.3923/jas.2015.1013.1019 fatcat:lj2b7q53wjfxzi5vilqargjeti

Finding Credible Information Sources in Social Networks Based on Content and Social Structure

Kevin R. Canini, Bongwon Suh, Peter L. Pirolli
2011 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing  
Based on these results, we designed a novel method of automatically identifying and ranking social network users according to their relevance and expertise for a given topic.  ...  A task of primary importance for social network users is to decide whose updates to subscribe to in order to maximize the relevance, credibility, and quality of the information received.  ...  in social networks.  ... 
doi:10.1109/passat/socialcom.2011.91 dblp:conf/socialcom/CaniniSP11 fatcat:4rxwj7wzjreafa53bjsxht6h5y

Enriching employee ontology for enterprises with knowledge discovery from social networks

Hao Wu, Charalampos Chelmis, Vikram Sorathia, Yinuo Zhang, Om Prasad Patri, Viktor K. Prasanna
2013 Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining - ASONAM '13  
At the macroscopic level, conclusions can be drawn, among others, about collective behavior and expertise in varying granularities (i.e. single employee to the company as a whole).  ...  In this paper, we propose an employee ontology that integrates user static properties from formal structures with dynamic interests and expertise extracted from informal communication signals.  ...  As a consequence employee interests, skills and expertise are both context and time dependent: can differ at multiple points in time, and be different at the same point in time yet within the boundaries  ... 
doi:10.1145/2492517.2500253 dblp:conf/asunam/WuCSZPP13 fatcat:tbjyikzdbvgkdeopoe4ct4h4zq

Extraction and mining of an academic social network

Jie Tang, Jing Zhang, Limin Yao, Juanzi Li
2008 Proceeding of the 17th international conference on World Wide Web - WWW '08  
existing digital libraries; 3) expertise search on a given topic; and 4) association search between researchers.  ...  This paper addresses several key issues in extraction and mining of an academic social network: 1) extraction of a researcher social network from the existing Web; 2) integration of the publications from  ...  CONCLUSION In this paper, we have presented a system called ArnetMiner for extracting and mining a researcher social network. We introduced the architecture and the main features of the system.  ... 
doi:10.1145/1367497.1367722 dblp:conf/www/TangZYL08 fatcat:pfaqlbffm5c7xd4omaa5okhsda

A User-Oriented Model for Expert Finding [chapter]

Elena Smirnova, Krisztian Balog
2011 Lecture Notes in Computer Science  
We use the distance between the user and an expert in a social network to estimate contact time, and consider various social graphs, based on organizational hierarchy, geographical location, and collaboration  ...  Using a realistic test set, created from interactions of employees with a university-wide expert search engine, we demonstrate substantial improvements over a state-of-the-art baseline on all retrieval  ...  Contact time between two people-the user and a candidate expert-is approximated using their distance in a social network.  ... 
doi:10.1007/978-3-642-20161-5_58 fatcat:xjkwzrs37fdcvhmcwht3i345cu

Conceptualizing and advancing research networking systems

Titus Schleyer, Brian S. Butler, Mei Song, Heiko Spallek
2012 ACM Transactions on Computer-Human Interaction  
Foundations includes project-, institution-and discipline-specific motivational factors; the role of social networks; and impression formation based on information beyond expertise and interests.  ...  Presentation addresses representing expertise in a comprehensive and up-to-date manner; the role of controlled vocabularies and folksonomies; the tension between seekers' need for comprehensive information  ...  ACKNOWLEDGEMENTS This project was, in part, supported by a grant (1 U54 RR023506-01) from the National Center for Research Resources (NCRR), a component of the National Institutes of Health (NIH) and NIH  ... 
doi:10.1145/2147783.2147785 pmid:24376309 pmcid:PMC3872832 fatcat:2v4zfsy6bjbbncj4ogutebohp4

Web 2.0 contents for connecting learners in online Learning Network

Danish Nadeem, Slavi Stoyanov, Rob Koper
2010 IEEE EDUCON 2010 Conference  
Interface design: Easy to use features and user-interface to search for suitable people in a network of learners.  ...  The paper proposes a conceptual model for designing a people-finding system in a Learning Network.  ...  It is a time taking and tedious job to manually browse through peoples profiles, especially in a large network of people.  ... 
doi:10.1109/educon.2010.5492389 fatcat:bqdzwv3zkzej5ep2cdyendjm5u

CrowdSTAR: A Social Task Routing Framework for Online Communities [chapter]

Besmira Nushi, Omar Alonso, Martin Hentschel, Vasileios Kandylas
2015 Lecture Notes in Computer Science  
Nevertheless, it is still a challenge to decide how a task should be dispatched through the network due to the high diversity of the communities and the dynamically changing expertise and social availability  ...  CrowdSTAR indexes the topic-specific expertise and social features of the crowd contributors and then uses a routing algorithm, which suggests the best sources to ask based on the knowledge vs. availability  ...  Morris, Teevan, and Panovich [12] describe a thorough comparison between Web search and social search (i.e. forwarding questions to social networks).  ... 
doi:10.1007/978-3-319-19890-3_15 fatcat:aozz3cgdondl7gg2kexjvey4uy

Expert Finding System using Latent Effort Ranking in Academic Social Networks

Sobha K. Rani, KVSVN Raju, V. Valli Kumari
2015 International Journal of Information Technology and Computer Science  
This paper deal with an expert finding approach that involves extraction of expertise that is hidden in the profile documents and publications of a researcher who is a member of academic social network  ...  that comes into anyone's mind is the social network.  ...  In applications like social search and social feedback systems, always a suggestion from an expert is given more weight.  ... 
doi:10.5815/ijitcs.2015.02.03 fatcat:bsdidrlpybaincr73iq74wjkzu
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