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Formalization and Visualization of the Narrative for Museum Guides Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Collaboration Networks Analysis: Combining Structural and Keyword-Based Approaches

Author : Ana Meštrović

Published in: Semantic Keyword-Based Search on Structured Data Sources

Publisher: Springer International Publishing

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Abstract

This paper proposes a method for the analysis of the characteristics of collaboration networks. The method uses social network analysis metrics which are especially applicable to directed and weighted collaboration networks. By using the proposed method it is possible to investigate the global structure of the collaboration networks, such as density, centralisation, assortativity and the dynamics of network growth. Furthermore, the method proposes appropriate network centrality measures (degree and its variations for directed and weighted networks) for ranking the nodes. In addition the proposed method combines a keyword-based approach and Louvain algorithm for the community detection task. Next, the paper describes a case study in which the proposed method is applied to the collaboration networks emerged from STSMs on the KEYSTONE COST Action.

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Metadata
Title
Collaboration Networks Analysis: Combining Structural and Keyword-Based Approaches
Author
Ana Meštrović
Copyright Year
2018
Book
Semantic Keyword-Based Search on Structured Data Sources

Print ISBN: 978-3-319-74496-4

Electronic ISBN: 978-3-319-74497-1

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-74497-1_11