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Co-authorship network analysis in improvisation theory research

Pengbin Gao, Weiwei Wu, Bo Yu

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Abstract

The research of improvisation theory has been become a hot topic of management area in recent years. To analyze the structure of scientific collaborations and the status of individual author, this paper uses the social network analysis approach to analyze the co-authorship network and provides descriptive statistics regarding the structure feature of the whole network and the degree to which researchers are embedded in the co-authorship network. Then this paper analyzes the relationship associating the researchers' embeddedness in the co-authorship network with the researchers' publication count. Results indicate the co-authorship network of the improvisation research is a very fragmented network with strong local clustering. At the same time, statistics analysis shows that authors can have good performance because they are located in the center of a co-authorship network.

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What this paper is about

The research of improvisation theory has been become a hot topic of management area in recent years. To analyze the structure of scientific collaborations and the status of individual author, this paper uses the social network analysis approach to analyze the co-authorship network and provides descriptive statistics regarding the structure feature of the whole network and the degree to which researchers are embedded in the co-authorship network. Then this paper analyzes the relationship associating the researchers' embeddedness in the co-authorship network with the researchers' publication count. Results indicate the co-authorship network of the improvisation research is a very fragmented network with strong local clustering. At the same time, statistics analysis shows that authors can have good performance because they are located in the center of a co-authorship network.

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Method / approach

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Available abstract

The research of improvisation theory has been become a hot topic of management area in recent years. To analyze the structure of scientific collaborations and the status of individual author, this paper uses the social network analysis approach to analyze the co-authorship network and provides descriptive statistics regarding the structure feature of the whole network and the degree to which researchers are embedded in the co-authorship network. Then this paper analyzes the relationship associating the researchers' embeddedness in the co-authorship network with the researchers' publication count. Results indicate the co-authorship network of the improvisation research is a very fragmented network with strong local clustering. At the same time, statistics analysis shows that authors can have good performance because they are located in the center of a co-authorship network.

Key concepts: Improvisation, Embeddedness, Social network analysis, Computer science, Network analysis, Cluster analysis, Data science, Descriptive statistics

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