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Information identification in different networks with heterogeneous information sources

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Abstract

Traditional cheap-talk game model with homogeneous information sources provided a conclusion that dishonest information sources will not be identified if he changes strategy stochastically. In this paper, the authors incorporate different information diffusion networks and heterogeneous information sources into an agent-based artificial stock market. The obtained results are different with traditional results that identification ability of uninformed agents has been highly improved with diffusion networks and heterogeneous information sources. Additionally, the authors find uninformed agents can improve identification ability only if there exists a sufficient number of heterogeneous information sources in stock market.

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Authors and Affiliations

  1. College of Management and Economics, Tianjin University, Tianjin, 300072, China

    Xu Feng, Wei Zhang, Yongjie Zhang & Xiong Xiong

  2. China Center for Social Computing, Tianjin University, Tianjin, 300072, China

    Xu Feng, Wei Zhang, Yongjie Zhang & Xiong Xiong

Authors
  1. Xu Feng
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  2. Wei Zhang
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  3. Yongjie Zhang
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  4. Xiong Xiong
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Corresponding author

Correspondence to Yongjie Zhang.

Additional information

This research was supported by the National Natural Science Foundation of China under Grant Nos. 71131007, 71271144, and 71271145, the New Century Excellent Talents Supporting Program by Ministry of Education under Grant No. NECT-10-0626, the Innovative Research Team in University Supporting Program by Ministry of Education under Grant No. IRT 1208.

This paper was recommended for publication by Editor WANG Shouyang.

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Feng, X., Zhang, W., Zhang, Y. et al. Information identification in different networks with heterogeneous information sources. J Syst Sci Complex 27, 92–116 (2014). https://doi.org/10.1007/s11424-014-3297-0

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  • DOI: https://doi.org/10.1007/s11424-014-3297-0

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