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Social Network Rebuilder: A Tool to Estimate a Social Network of Financial Crisis Propagation

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Abstract

The objective of this paper is to find a new method to estimate real social networks based on observed data collected by questionnaire surveys. Studies on social networks have been increasing in order to analyze social phenomena from a micro viewpoint. Most social phenomena can be explained by micro-level interactions among people. Spread of rumor and pandemics are typical example of micro interaction? However, there has not been much work on an analysis of real social networks based on observed data. This study tries to establish a methodology that exploits a genetic algorithm to rebuild a social network based on the data observed indirectly from real social networks. This paper introduces our proposed method, which allows us to rebuild a social network to some extent from degree distributions of a target real social network.

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Authors and Affiliations

  1. Central Office for Information Infrastructure, Osaka University, 5-1 Mihogaoka, Ibaraki, Osaka, 567-0047, Japan

    Kohei Ichikawa

  2. Research Institute for Socionetwork Strategies, Kansai University, 3-3-35 Yamate-cho, Suita, 564-8680, Osaka, Japan

    Kohei Ichikawa, Toshihiko Takemura & Masatoshi Murakami

  3. Faculty of Business Administration, Kinki University, 3-3-35 Yamate-cho, Suita, 564-8680, Osaka, Japan

    Kazunori Minetaki

  4. Faculty of Engineering, Saitama Institute of Technology, 1690 Fusaiji, Fukaya, 369-0293, Saitama, Japan

    Taiyo Maeda

Authors
  1. Kohei Ichikawa
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  2. Toshihiko Takemura
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  3. Masatoshi Murakami
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  4. Kazunori Minetaki
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  5. Taiyo Maeda
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Corresponding author

Correspondence to Kohei Ichikawa.

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Ichikawa, K., Takemura, T., Murakami, M. et al. Social Network Rebuilder: A Tool to Estimate a Social Network of Financial Crisis Propagation. Rev Socionetwork Strat 5, 1–16 (2011). https://doi.org/10.1007/s12626-010-0016-8

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  • DOI: https://doi.org/10.1007/s12626-010-0016-8

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