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Expertise Search in a Time-Varying Social Network
2008
2008 The Ninth International Conference on Web-Age Information Management
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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
2007
Proceedings of the 16th international conference on World Wide Web - WWW '07
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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
2005
Proceedings of the 2005 international ACM SIGGROUP conference on Supporting group work - GROUP '05
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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
2017
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017 - ASONAM '17
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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
2008
Proceeding of the twenty-sixth annual CHI conference on Human factors in computing systems - CHI '08
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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
2007
Proceedings of the 2007 international ACM conference on Conference on supporting group work - GROUP '07
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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
2015
Journal of Applied Sciences
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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
2011
2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing
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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
2013
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining - ASONAM '13
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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
2008
Proceeding of the 17th international conference on World Wide Web - WWW '08
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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]
2011
Lecture Notes in Computer Science
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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
2012
ACM Transactions on Computer-Human Interaction
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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
2010
IEEE EDUCON 2010 Conference
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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]
2015
Lecture Notes in Computer Science
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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
2015
International Journal of Information Technology and Computer Science
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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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