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QAP Analysis of Company Co-mention Network

  • S. P. Sidorov
  • A. R. FaizlievEmail author
  • V. A. Balash
  • A. A. Gudkov
  • A. Z. Chekmareva
  • M. Levshunov
  • S. V. Mironov
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10836)

Abstract

In our research we form a network called company co-mention network. News analytics data have been employed to collect the companies co-mentioning. Each company acquires a certain value based on the amount of news in which the company was mentioned. A matrix containing the number of co-mentioning news between pairs of companies has been created for network analysis. Each company is presented as a node, and news mentioning two companies establishes a link between them. The network is constructed quite similarly to social networks or co-citation networks. The networked map of the companies is used to visualize the dependence structure of the economy by identifying groups of companies that are more central than others. The analysis carried out in the context of sectors of economy and territorial affiliation made it possible to identify key companies and to explore the similarity of the power law of vertices within sectors. QAP analysis between the co-mention network and the sector affiliation network was carried out to examine the ability of the sector affiliation network to predict the structure of the co-mention network.

Keywords

Network analysis News analytics Degree distribution SNA metrics QAP analysis 

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • S. P. Sidorov
    • 1
  • A. R. Faizliev
    • 1
    Email author
  • V. A. Balash
    • 1
  • A. A. Gudkov
    • 1
  • A. Z. Chekmareva
    • 1
  • M. Levshunov
    • 1
  • S. V. Mironov
    • 1
  1. 1.Saratov State UniversitySaratovRussian Federation

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