A measure of authors’ centrality in co-authorship networks based on the distribution of collaborative relationships

Lü, Hongfei; Feng, Yong

doi:10.1007/s11192-008-2173-x

Cited by 62 publications

(44 citation statements)

References 22 publications

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“…In either case, coauthors that are central to the network can be identified in the sense that they connect different parts of the network together (Lu and Feng 2009). As is typically the case with social networks, one shall find that some coauthors are more central than others.…”

Section: Resultsmentioning

confidence: 97%

The structure of collaboration in the Journal of Finance

2010

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This paper studies the structure of collaboration in the Journal of Finance for the period 1980-2009 using publication data from the Social Sciences Citation Index (SSCI). There are 3,840 publications within this period, out of which 58% are collaborations. These collaborations form 405 components, with the giant component capturing approximately 54% of total coauthors (it is estimated that the upper limit of distinct JF coauthors is 2,536, obtained from the total number of distinct author keywords found within the study period). In comparison, the second largest component has only 13 members. The giant component has mean degree 3 and average distance 8.2. It exhibits power-law scaling with exponent a = 3.5 for vertices with degree C5. Based on the giant component, the degree, closeness and betweenness centralization score, as well as the hubs/authorities score is determined. The findings indicate that the most important vertex on the giant component coincides with Sheridan Titman based on his top ten ranking on all four scores.

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Section: Resultsmentioning

confidence: 97%

The structure of collaboration in the Journal of Finance

2010

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“…However, it is difficult to determine the extent of cooperation between enterprises for technological innovation accurately using this method. Salton's index compensates for this disadvantage by providing information about the scale of cooperation between companies using the relative rate of joint patents in all patents (Lu and Feng 2009). Lee et al (2016) measure the extent of cooperation between large firms and small-medium firms using Salton's index.…”

Section: Configuration Of Alliance Portfoliomentioning

confidence: 99%

Configuring an alliance portfolio for eco-friendly innovation in the car industry: Hyundai and Toyota

Jeong

2016

Journal of Open Innovation: Technology, Market, and Complexity

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Purpose: This study aims to examine the strategic alliance portfolio and the characters of focal firm partners in the eco-friendly car market, and also suggest the important managerial implications and suggestions for firms' managers and policy-makers using the patent information of Toyota and Hyundai as examples. This study identifies the fundamental differences in Hyundai's strategic partnerships through the comparison with Toyota's alliance portfolio. Key literature reviews: This study analyzes the configuration of alliance portfolio using the patent citation information and various patent citation indexes. Many previous studies use patent citation information to analyze the flow of technological knowledge and the relative importance of the technology that companies produce (Hall, Jaffe, & Trajtenberg, 2005). Patents contain a lot of information, which researchers use to derive multiple properties related to technological innovation or technological excellence (Ernst, 2003). Especially, the Current Impact Index (CII), the Technology Strength (TS), the Technology Independence (TI) and the Science Linkage mean the technological innovation of companies (Chang, Chen, & Huang, 2012;Z. Huang et al., 2003;Sung, Wang, Huang, & Chen, 2015).Design/ methodology/ approach: The paper employs patent data for collection of partnership data for both Hyundai and Toyota using joint patent filings, and the alliance portfolios are configured by using co-assignees as partners. In addition, we use patent citation indexes to analyze the relationship between firms' technological alliance and innovation capability.(Expected) findings/results: The results of this study show that; 1) Toyota is actively developing joint R&D activities but, Hyundai is not. Because of this, Toyota has the advantageous position to obtain knowledge and technology than Hyundai due to the high centrality in alliance portfolio. 2) The alliance portfolio of Toyota and Hyundai can be categorized four groups by the degree of collaboration and patent quality. 3) There are differences in the properties of four groups of Toyota's alliance portfolio and Hyundai's alliance portfolio. Research limitations/ implications: This study has several limitations. First, patent information indicates only the cross-section of the company's innovation. Second, joint patents are not the only outcome of joint R&D, and comprise only a very small part of the output from joint R&D activities. In spite of these limitations, the findings suggest how firms can catch up to access the automotive bioplastic market, and offers contributions to theories related to portfolios.

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“…Closeness centrality is defined as the mean shortest distance by which a given author is separated from all the others [18]. It is measured as the average of the total reciprocal distance of an author from each of the other authors.…”

Section: Closeness Centralitymentioning

confidence: 99%

Social Analysis of the SEKE Co-Author Network

Gokhale¹,

El-Kharboutly²

2015

International Conferences on Software Engineering and Knowledge Engineering

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We extract the co-author network over the entire history of the SEKE conference from 1988 through 2014. In this network, authors represent nodes and a pair of authors is connected by an edge if they have co-authored at least one article over the entire duration. We analyze this network using socio-centric and ego-centric network methods to study the extent to which the authors are involved in the SEKE community, and the patterns of collaboration between them. Socio-centric analysis reveals that most authors publish a very small number of articles, and collaborate within tightly knit circles. In fact, only a tiny fraction of the authors consistently return to SEKE to disseminate their research. Ego-centric measures of centrality confirm these findings by revealing that only a small percentage of the authors are structurally dominant, and influence the flow of communication among others. Based on these findings, we believe that strategically SEKE could benefit from cultivating a wider base of influential authors, promoting broader collaborations, and encouraging one-time authors to return.

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A measure of authors’ centrality in co-authorship networks based on the distribution of collaborative relationships

Cited by 62 publications

References 22 publications

The structure of collaboration in the Journal of Finance

The structure of collaboration in the Journal of Finance

Configuring an alliance portfolio for eco-friendly innovation in the car industry: Hyundai and Toyota

Social Analysis of the SEKE Co-Author Network

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