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Research on influence spread of scientific research team based on scientific factor quantification of big data

Author

Listed:
  • Wenbin Zhao
  • Zhixian Yin
  • Tongrang Fan
  • Jishuang Luo

Abstract

With the development of science and technology, the interactions among scientific research teams become more and more frequent, and their relationship and behavior become more and more complex. Many researches mainly adopt complex network to analyze, but these researches only consider some aspects of scientific research factors, so lack of comprehensive consideration. From the aspect of ability, resource, activity, and familiarity, scientific research factors are quantified based on multi-source data of scientific and technological big data, and some factors of text information are similarly quantified. Based on paper citation and project cooperation, a complex network which takes scientific research team as node is constructed and is weighted by quantification of scientific research factor. The experiment of influence spread is carried out by the comparison of unweighted network and weighted network, the comparison of single node and multiple nodes, and the comparison of influence spread and other index. The results show that the scientific research factor is closely related to the influence spread; the proposed scientific research factor quantification improves the analysis of scientific research team relationship. The relationship between influence spread and the number of related communities is greater than the number of adjacent nodes. In addition, the influence spread can effectively reflect the importance of scientific research team.

Suggested Citation

  • Wenbin Zhao & Zhixian Yin & Tongrang Fan & Jishuang Luo, 2019. "Research on influence spread of scientific research team based on scientific factor quantification of big data," International Journal of Distributed Sensor Networks, , vol. 15(4), pages 15501477198, April.
    • Handle: RePEc:sae:intdis:v:15:y:2019:i:4:p:1550147719842158
    DOI: 10.1177/1550147719842158
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    Cited by:

    1. Jianmin Wang & Bo Zhang & Tongrang Fan & Zijian Fu & Wenbin Zhao, 2019. "Research on multi-attribute controller for virtual data domain based on software definition network," International Journal of Distributed Sensor Networks, , vol. 15(7), pages 15501477198, July.

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