Discovering shared interests using graph analysis
Communications of the ACM - Special issue on internetworking
Just talk to me: a field study of expertise location
CSCW '98 Proceedings of the 1998 ACM conference on Computer supported cooperative work
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Enterprise expert and knowledge discovery
Proceedings of the HCI International '99 (the 8th International Conference on Human-Computer Interaction) on Human-Computer Interaction: Communication, Cooperation, and Application Design-Volume 2 - Volume 2
Graph-based ranking algorithms for e-mail expertise analysis
DMKD '03 Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery
The ContactFinder agent: answering bulletin board questions with referrals
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Finding experts and their eetails in e-mail corpora
Proceedings of the 15th international conference on World Wide Web
Formal models for expert finding in enterprise corpora
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Voting for candidates: adapting data fusion techniques for an expert search task
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Expertise networks in online communities: structure and algorithms
Proceedings of the 16th international conference on World Wide Web
Broad expertise retrieval in sparse data environments
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Searching for experts in the enterprise: combining text and social network analysis
Proceedings of the 2007 international ACM conference on Supporting group work
Using web 2.0 to locate expertise
CASCON '07 Proceedings of the 2007 conference of the center for advanced studies on Collaborative research
Finding high-quality content in social media
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Identifying authoritative actors in question-answering forums: the case of Yahoo! answers
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Voting techniques for expert search
Knowledge and Information Systems
L3S at INEX 2007: Query Expansion for Entity Ranking Using a Highly Accurate Ontology
Focused Access to XML Documents
EasyTicket: a ticket routing recommendation engine for enterprise problem resolution
Proceedings of the VLDB Endowment
Tapping on the potential of q&a community by recommending answer providers
Proceedings of the 17th ACM conference on Information and knowledge management
Modeling multi-step relevance propagation for expert finding
Proceedings of the 17th ACM conference on Information and knowledge management
A language modeling framework for expert finding
Information Processing and Management: an International Journal
Quality-aware collaborative question answering: methods and evaluation
Proceedings of the Second ACM International Conference on Web Search and Data Mining
Learning to recognize reliable users and content in social media with coupled mutual reinforcement
Proceedings of the 18th international conference on World wide web
Behavioral profiles for advanced email features
Proceedings of the 18th international conference on World wide web
Rethinking email message and people search
Proceedings of the 18th international conference on World wide web
Enhancing Expert Finding Using Organizational Hierarchies
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
Design and Evaluation of a University-Wide Expert Search Engine
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
Toward Automatic Expertise Identification of Blogger
Proceedings of the 2009 conference on Information Modelling and Knowledge Bases XX
A supervised learning approach to biological question answering
Integrated Computer-Aided Engineering - Selected papers from the IEEE Conference on Information Reuse and Integration (IRI), July 13-15, 2008
Finding reliable users and social networks in a social internetworking system
IDEAS '09 Proceedings of the 2009 International Database Engineering & Applications Symposium
Enterprise people and skill discovery using tolerant retrieval and visualization
ECIR'07 Proceedings of the 29th European conference on IR research
AdHeat: an influence-based diffusion model for propagating hints to match ads
Proceedings of the 19th international conference on World wide web
Integrating multiple document features in language models for expert finding
Knowledge and Information Systems
Modeling documents as mixtures of persons for expert finding
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Ranking users for intelligent message addressing
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Improving document search by finding domain experts
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Enhancing search applications by utilizing mind maps
Proceedings of the 21st ACM conference on Hypertext and hypermedia
Discovering Knowledge-Sharing Communities in Question-Answering Forums
ACM Transactions on Knowledge Discovery from Data (TKDD)
Power in unity: forming teams in large-scale community systems
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Recommendation boosted query propagation in the social network
SocInfo'10 Proceedings of the Second international conference on Social informatics
Social Network Analysis and Mining for Business Applications
ACM Transactions on Intelligent Systems and Technology (TIST)
Searching consultants in web forum
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications
A user-oriented model for expert finding
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Competition-based user expertise score estimation
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Finding appropriate experts for collaboration
WAIM'11 Proceedings of the 12th international conference on Web-age information management
Ask friends for help: a collaborative query answering system
CDVE'11 Proceedings of the 8th international conference on Cooperative design, visualization, and engineering
Chinese expert entity homepage recognition based on Co-EM
WISM'11 Proceedings of the 2011 international conference on Web information systems and mining - Volume Part II
Extracting semantic user networks from informal communication exchanges
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part I
Using domain ontologies for finding experts in corporate wikis
Proceedings of the 7th International Conference on Semantic Systems
A supervised learning approach to entity search
AIRS'06 Proceedings of the Third Asia conference on Information Retrieval Technology
COLBERT: a scoring based graphical model for expert identification
SBP'10 Proceedings of the Third international conference on Social Computing, Behavioral Modeling, and Prediction
ACM Transactions on Information Systems (TOIS)
Authoritative re-ranking of search results
ECIR'06 Proceedings of the 28th European conference on Advances in Information Retrieval
Based on analyzing closeness and authority for ranking expert in social network
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing Theories and Applications: with aspects of artificial intelligence
Email between private use and organizational purpose
Proceedings of the 21st international conference companion on World Wide Web
Asking the right person: supporting expertise selection in the enterprise
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Integer linear programming for Constrained Multi-Aspect Committee Review Assignment
Information Processing and Management: an International Journal
Modeling and exploiting heterogeneous bibliographic networks for expertise ranking
Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries
A framework for unsupervised spam detection in social networking sites
ECIR'12 Proceedings of the 34th European conference on Advances in Information Retrieval
Ranking User Influence in Healthcare Social Media
ACM Transactions on Intelligent Systems and Technology (TIST)
A social recommender mechanism for improving knowledge sharing in online forums
Information Processing and Management: an International Journal
Foundations and Trends in Information Retrieval
Whom to ask?: jury selection for decision making tasks on micro-blog services
Proceedings of the VLDB Endowment
Finding the right supervisor: expert-finding in a university domain
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop
ExpertRank: A topic-aware expert finding algorithm for online knowledge communities
Decision Support Systems
Choosing the right crowd: expert finding in social networks
Proceedings of the 16th International Conference on Extending Database Technology
An Interests Discovery Approach in Social Networks Based on Semantically Enriched Graphs
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Extracting Celebrities from Online Discussions
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Mining expertise and interests from social media
Proceedings of the 22nd international conference on World Wide Web
Proceedings of the 13th International Conference on Knowledge Management and Knowledge Technologies
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Benchmarking domain-specific expert search using workshop program committees
Proceedings of the 2013 workshop on Computational scientometrics: theory & applications
GeoTruCrowd: trustworthy query answering with spatial crowdsourcing
Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Finding topic-level experts in scholarly networks
Scientometrics
Preference-based mining of top-K influential nodes in social networks
Future Generation Computer Systems
Information Technology and Management
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A common method for finding information in an organization is to use social networks---ask people, following referrals until someone with the right information is found. Another way is to automatically mine documents to determine who knows what. Email documents seem particularly well suited to this task of "expertise location", as people routinely communicate what they know. Moreover, because people explicitly direct email to one another, social networks are likely to be contained in the patterns of communication. Can these patterns be used to discover experts on particular topics? Is this approach better than mining message content alone? To find answers to these questions, two algorithms for determining expertise from email were compared: a content-based approach that takes account only of email text, and a graph-based ranking algorithm (HITS) that takes account both of text and communication patterns. An evaluation was done using email and explicit expertise ratings from two different organizations. The rankings given by each algorithm were compared to the explicit rankings with the precision and recall measures commonly used in information retrieval, as well as the d' measure commonly used in signal-detection theory. Results show that the graph-based algorithm performs better than the content-based algorithm at identifying experts in both cases, demonstrating that the graph-based algorithm effectively extracts more information than is found in content alone.