Das, Paramita and Adhikari, Agniv and Mukherjee, Avik (2019) Accessibility metric for characterizing the relevance of conference papers. In: 2019 IEEE Region 10 Symposium (TENSYMP), 7-9 June, 2019, Kolkata, India.

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Abstract

Academic conference is a medium for rapid dissemination of knowledge. In an expanding horizon, often it becomes difficult to achieve proper impact due to topic mismatch. The problem affects either way, both conference organizers as well as the prospective participants. As a result, some of the works remain disconnected and disoriented from the majority volume of work presented in the conference. A solution to such situation is sought here by establishing better cohesion. The papers are modelled as nodes of a graph and these are connected through edges if they share a common keyword, specified during submission. An accessibility metric over this network is proposed in this work as being capable of judging the relevance of a paper. Two case studies are presented for proof of concept.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: network theory;text mining;graph metric;accessibility;keyword based graph
Subjects: General
Divisions: Computer Cell
Depositing User: Bidhan Chaudhuri
Date Deposited: 13 Feb 2020 07:37
Last Modified: 13 Feb 2020 07:37
URI: http://cgcri.csircentral.net/id/eprint/4701

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