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Identifying trends and flows in Communication and Information Processing by means of keyword network analysis

Abstract

The purpose of this paper is to identify influential themes and knowledge flows in the area of communications and information processing and suggest trends that are likely to make (or continue making) an impact. We applied keyword network analysis on articles whose keywords match the themes of the International Conference on Communication and Information Processing, collected through the Thompson Reutersโ€™ Web of Science and studied the articlesโ€™ thematic interconnections and their dynamics. The keyword network was found to be clustered around the themes cloud, data, mobile, security, semantic and social. Security and embeddedness are found to be the most dominant topics, common to all groups. Design and performance are key influencers of thematic flows and data mining/analysis are close to all nodes/keywords and therefore most popular. Big data, data fusion/integration and e-government are themes identified as potentially strong future influencers

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