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Measuring contextual partner importance in scientific collaboration networks
- Source :
- Journal of Informetrics. 7:730-736
- Publication Year :
- 2013
- Publisher :
- Elsevier BV, 2013.
-
Abstract
- Scientific collaboration commonly takes place in a global and competitive environment. Coalitions and consortia are formed among universities, companies and research institutes to apply for research grants and to perform joint 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 important of individuals or companies in social and collaborative networks. Here we present a novel context-based metric to measure the importance of partners in scientific collaboration networks. Well-established graph models such as the notion of hubs and authorities provide the basis for this work and are systematically extended to a flexible, context-aware network importance measure.
- Subjects :
- Measure (data warehouse)
Knowledge management
business.industry
media_common.quotation_subject
Context (language use)
Competitor analysis
HITS algorithm
Library and Information Sciences
Computer Science Applications
Work (electrical)
Graph (abstract data type)
Metric (unit)
Business
Reputation
media_common
Subjects
Details
- ISSN :
- 17511577
- Volume :
- 7
- Database :
- OpenAIRE
- Journal :
- Journal of Informetrics
- Accession number :
- edsair.doi...........4cb6bc25a8abe2a0e0b20ac0adb6af7e