CommunityExplorer: A Framework for Visualizing Collaboration Networks

Merino, Leonel; Seliner, Dominik; Ghafari, Mohammad; Nierstrasz, Oscar Marius (2016). CommunityExplorer: A Framework for Visualizing Collaboration Networks. In: IWST'16 Proceedings of the 11th edition of the International Workshop on Smalltalk Technologies. Prague, Czech Republc. 23.-24.08.2016. 10.1145/2991041.2991043

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Understanding the network of collaborations, identifying the key players, potential future collaborators, and trends in the field are very important to carry out a project successfully. In this paper, we present CommunityExplorer, a visualization framework that facilitates presenting, exploring, and understanding the network of collaborations at once. The framework performs data extraction, parsing, and modeling automatically. It is easy to adopt and utilizes a bigraph visualization that scales well. We demonstrate the advantage of CommunityExplorer to identify the collaboration of authors on 346 and 104 research papers published in SOTFVIS/VISSOFT and IWST communities respectively. We found that even though SOFTVIS/VISSOFT has more contributors, IWST exhibits more collaboration. We discovered that contributors in IWST are more resilient than those in SOFTVIS/VISSOFT, which are more volatile. Moreover, collaboration in IWST is concentrated in a single large group, while in SOFTVIS/VISSOFT it is spread among many tiny groups and a few medium-sized ones.

Item Type:

Conference or Workshop Item (Paper)

Division/Institute:

08 Faculty of Science > Institute of Computer Science (INF)
08 Faculty of Science > Institute of Computer Science (INF) > Software Composition Group (SCG) [discontinued]

UniBE Contributor:

Merino, Leonel, Ghafari, Mohammad, Nierstrasz, Oscar

Subjects:

000 Computer science, knowledge & systems
500 Science > 510 Mathematics

ISBN:

978-1-4503-4524-8

Language:

English

Submitter:

Oscar Nierstrasz

Date Deposited:

20 Feb 2017 13:23

Last Modified:

02 Mar 2023 23:28

Publisher DOI:

10.1145/2991041.2991043

Uncontrolled Keywords:

scg-pub snf-asa2 scg16 jb16

BORIS DOI:

10.7892/boris.94644

URI:

https://boris.unibe.ch/id/eprint/94644

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