Analyzing Link Dynamics in Scientific Collaboration Networks

Pandey, Arun K.; Chakraborty, Roshni; Sarkar, Soumya; Chandra, Joydeep

doi:10.1145/2808797.2808835

Cited by 5 publications

(2 citation statements)

References 16 publications

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“…We are also interested in exploring the community nature of the co-author network. Communities have been examined via networks in general [16,3,15]. Of particular interest is that collaboration networks can reveal under laying structures and reveal inequities or system trends [10,2] and potentially point us towards important work for supporting inclusive and diverse teams.…”

Section: Related Workmentioning

confidence: 99%

“…The importance of this is emphasized by work by the National Research Council on "Enhancing the Effectiveness of Team Science" [6]. When considering how to move forward as a community it is useful to examine past collaboration communities and networks in general to understand various communities and network measures [16,3,5,15]. Collaboration networks can reveal under laying structures and reveal inequities or system trends [10,2] and potentially point us towards important work for supporting inclusive and diverse teams.…”

Section: Introductionmentioning

confidence: 99%

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Mapping and visualization of publication networks of public university faculty in computer science and electrical engineering

Carroll¹,

Garg

Migler

et al.

EPiC Series in Computing

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We present our process and development of a web-based system to explore the publication networks of faculty in California public universities in the fields of computer science and electrical engineering. Our project explores collaboration networks in the fields of computer science and electrical engineering with a focus on publication networks and an analysis of these collaborations with a focus on geospatial organization (which institutions are collaborating with which other institutions). We present our data gathering process, which relies on the Scopus[9] database (Scopus represents a “comprehensive overview of the world’s scientific research output across all disciplines”), and we present the development of a web-based tool using python and the Google Maps API [12] in order to allow visualizations and explorations of geospatial structures of the publications networks. These visualizations drove further network analysis, which we present here as well.

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Section: Related Workmentioning

confidence: 99%