Ageing of Edges in Collaboration Networks and its Effect on Author Rankings

Ageing of Edges in Collaboration Networks and its Effect on Author Rankings

In this paper we show that assigning weights to the edges in a collaboration network of authors, according to a decreasing exponential function depending on the time elapsed since the publication of a common paper, may add valuable information to the process of ranking authors based on importance. The main idea is that a recent collaboration represents a stronger tie between the co-authors than an older one and, therefore, reduces the weight of potential citations between the co-authors. We test this approach, on a well-known data set and with an established methodology of using PageRank-based ranking techniques and reference sets of awarded authors and demonstrate that edge ageing may improve the ranking of authors.

The available full text is a preprint of the article.

Keywords: collaborations; citations; PageRank; scholars; rankings

Year: 2015

Journal ISSN: 1785-8860
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Authors of this publication:

Dalibor Fiala

Phone: +420 377 63 2429

Dalibor is the research group coordinator and an associate professor at the Department of Computer Science and Engineering at the University of West Bohemia in Pilsen, Czech Republic. He is interested in data mining, web mining, information retrieval, informetrics, and information science.

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Authors:  Karel Je┼żek, Dalibor Fiala, Michal Nykl
Desc.:Application of the PageRank algorithm and its modifications to the exploration of network structures, particularly citation and co-autorship networks.