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Collaboration Networks Analysis: Combining Structural and Keyword-Based Approaches (CROSBI ID 658998)

Prilog sa skupa u časopisu | izvorni znanstveni rad | međunarodna recenzija

Meštrović, Ana Collaboration Networks Analysis: Combining Structural and Keyword-Based Approaches // Lecture notes in computer science / Szymański, Julian ; Velegrakis, Yannis (ur.). 2017. str. 111-122 doi: 10.1007/978-3-319-74497-1

Podaci o odgovornosti

Meštrović, Ana

engleski

Collaboration Networks Analysis: Combining Structural and Keyword-Based Approaches

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.

Social Networks Analysis, Collaboration Networks, Keyword-based Community Detection

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Podaci o prilogu

111-122.

2017.

nije evidentirano

objavljeno

10.1007/978-3-319-74497-1

Podaci o matičnoj publikaciji

Lecture notes in computer science

Szymański, Julian ; Velegrakis, Yannis

Gdanjsk: Springer

978-3-319-74496-4

0302-9743

1611-3349

Podaci o skupu

Third International KEYSTONE Conference, IKC 2017

predavanje

11.10.2017-12.10.2017

Gdańsk, Poljska

Povezanost rada

Informacijske i komunikacijske znanosti

Poveznice
Indeksiranost