Information seeking in electronic environments
Information seeking in electronic environments
ISIC '96 Proceedings of an international conference on Information seeking in context
WebQuery: searching and visualizing the Web through connectivity
Selected papers from the sixth international conference on World Wide Web
The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Authoritative sources in a hyperlinked environment
Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Modern Information Retrieval
WISE: A World Wide Web Resource Database System
IEEE Transactions on Knowledge and Data Engineering
SimRank: a measure of structural-context similarity
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Mining the peanut gallery: opinion extraction and semantic classification of product reviews
WWW '03 Proceedings of the 12th international conference on World Wide Web
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Mining and summarizing customer reviews
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Newsmap: a knowledge map for online news
Decision Support Systems - Special issue: Collaborative work and knowledge management
Link-based similarity measures for the classification of Web documents
Journal of the American Society for Information Science and Technology
A social hypertext model for finding community in blogs
Proceedings of the seventeenth conference on Hypertext and hypermedia
Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data (Data-Centric Systems and Applications)
Context representation for web search results
Journal of Information Science
The utility of linguistic rules in opinion mining
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Visualization of the Nordic academic web: Link analysis using social network tools
Information Processing and Management: an International Journal
Introduction to Information Retrieval
Introduction to Information Retrieval
Opinion mining and relationship discovery using CopeOpi opinion analysis system
Journal of the American Society for Information Science and Technology
P-Rank: a comprehensive structural similarity measure over information networks
Proceedings of the 18th ACM conference on Information and knowledge management
Visualization of the Chinese academic web based on social network analysis
Journal of Information Science
Proceedings of the third symposium on Information interaction in context
An exploratory study of navigating wikipedia semantically: model and application
OCSC'11 Proceedings of the 4th international conference on Online communities and social computing
WNavis: Navigating Wikipedia semantically with an SNA-based summarization technique
Decision Support Systems
Journal of Information Science
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Wikipedia, the largest multilingual free content online encyclopaedia, is the result of collaboration by countless volunteers around the world. Because of the popularity of such applications, one of the most important issues is how to alleviate information overload on the world wide web and thereby facilitate effective information search activities. Basically, Wikipedia users browse content by following hyperlinks, or they use the search function to look for information. Traditional methods cannot represent all the relationships between hypertexts; thus, users can easily change their search goals unconsciously or get lost when they explore or retrieve information. To address the above problem, we propose a link strength measure that establishes a network by analysing the internal links between articles in Wikipedia. We then apply social network analysis indicators to label the relationships between articles and identify topics to help users find required information. Based on the proposed methods, we developed an application called WikiMap. To assess its effectiveness, we conducted a task-oriented evaluation study with 28 participants who were asked to execute simulated search tasks on two interfaces: the standard Wikipedia interface and the proposed WikiMap interface. The evaluation results show that participants were more successful in executing the assigned tasks on the WikiMap interface, especially unfamiliar decision-making tasks. The exploratory research results have implications for the design of search-aided applications to help users find information in Wikipedia.