Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Stable algorithms for link analysis
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 11th international conference on World Wide Web
Scaling personalized web search
WWW '03 Proceedings of the 12th international conference on World Wide Web
Group formation in large social networks: membership, growth, and evolution
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Dynamic personalized pagerank in entity-relation graphs
Proceedings of the 16th international conference on World Wide Web
Strategic network formation with structural holes
ACM SIGecom Exchanges
A generalized Co-HITS algorithm and its application to bipartite graphs
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Modes of collaboration in modern science: Beyond power laws and preferential attachment
Journal of the American Society for Information Science and Technology
Expertise ranking using activity and contextual link measures
Data & Knowledge Engineering
Online team formation in social networks
Proceedings of the 21st international conference on World Wide Web
Trust Modeling for Networked Organizations Using Reputation and Collaboration Estimates
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Service-Oriented Crowdsourcing: Architecture, Protocols and Algorithms
Service-Oriented Crowdsourcing: Architecture, Protocols and Algorithms
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Scientific collaborations commonly take place in a global and competitive environment. Coalitions and project consortia are formed among universities, companies and research institutes to apply for research grants and to perform jointly collaborative projects. In such a competitive environment, individual institutes may be strategic partners or competitors. Measures to determine partner importance have practical applications such as comparison and rating of competitors, reputation evaluation or performance evaluation of companies and institutes. Many network-centric metrics exist to measure the importance of individuals or companies in social and collaborative networks. Here we present a novel approach for measuring and combing various criteria for partner importance evaluation. The presented approach is cost sensitive, aware of temporal and context-based partner authority, and takes structural information with regard to structural holes into account. Well-established graph models such as the notion of hubs and authorities provide the basis for the presented authority ranking approach and are systematically extended towards a novel unified HITS/PageRank model. The applicability of the proposed approach and the effects of parameter selection are extensively studied using real data from the European Union's research program.