Co-authorship networks and research impact: A social capital perspective

Li, Eldon Y.; Liao, Chien Hsiang; Yen, HsiuJu Rebecca

doi:10.1016/j.respol.2013.06.012

“…This difference may arise because biologists and physicists may need to collaborate more frequently and widely due of the experimental nature of their work. However, these metrics are consistent with the values for the co-author network in library and communication sciences (2.40, 1.80, and 2.24) [15], a field that may be closer to SEKE in terms of culture, traditions, practices, and norms. Figure 3, which shows the distribution of the number of authors per article further confirms that a very large percentage of SEKE articles has four or fewer authors.…”

Section: Individual or Local Metricssupporting

confidence: 81%

Social Analysis of the SEKE Co-Author Network

Gokhale

¹

,

El-Kharboutly

²

2015

International Conferences on Software Engineering and Knowledge Engineering

1

0

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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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“…Therefore, to measure the degree of connectivity, we measure the relative size of the largest connected component as its actual size divided by the size of the network, which is approximately 38%. Previously, the relative sizes of the largest connected components were observed to be 20% for the library and communication science [15], 60% for SIG-MOD [21], 92.6% for Medline, and 57.2% for NC-STRL [23]. The relative size for SEKE is consistent with Kretschmer's [12] observation that the largest components usually have a ratio of around 40%.…”

Section: Aggregate or Global Metricssupporting

confidence: 76%

Social Analysis of the SEKE Co-Author Network

Gokhale¹,

El-Kharboutly²

2015

International Conferences on Software Engineering and Knowledge Engineering

0

View full text Add to dashboard Cite

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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“…Application of social network analysis is also useful in predicting scientific performance. For example, a group of Taiwanese researchers found that position in a co-authorship networks can help predict citations of publications [73]. In China, a research team also found the same pattern when examining co-authorship network effects toward citation counts using library and information science data [74].…”

Section: Social Sustainability Scientific Communities and Social Netmentioning

confidence: 87%

On the Sustainability of Co-Authoring Behaviors in Vietnamese Social Sciences: A Preliminary Analysis of Network Data

Ho

¹

,

Nguyen²,

Vuong

³

et al. 2017

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Abstract:The topic of sustainability has mostly been tied to economic development and environmental protection, yet not much attention has been paid to the need for high problem-solving capacity as this underlines both issues. One of the most straightforward ways to improve problem-solving capacity is to nurture 'productive and enduring', i.e., sustainable, scientific communities. The study examines the co-authoring behaviors of 412 Vietnamese social scientists over the 2008-2017 period via social network analysis to determine if these researchers have formed sustainable scientific communities, using Scopus data. The dataset provides an insightful look into the predominant form of collaboration, i.e., co-authorship, within the Vietnamese social science research communities. Through basic network metrics such as density and clustering coefficient, the study hypothesizes that the socially sustainable research communities are those with low clustering and high density. As any scholar's position in a network can be specified by three quantities: the number of publications, connections, and years in research, the distance metrics from the most productive to the rest are computed and compared. The study hypothesizes that if the distance is too large; it reflects the socially unsustainable situation in the network. The results indicate that certain level of social unsustainability exists in social sciences groups in Vietnam. Though the results are only indicative, it has opened up a fertile space for future inquiry into this matter.

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Co-authorship networks and research impact: A social capital perspective

Cited by 359 publications

References 104 publications

Social Analysis of the SEKE Co-Author Network

Social Analysis of the SEKE Co-Author Network

Social Analysis of the SEKE Co-Author Network

On the Sustainability of Co-Authoring Behaviors in Vietnamese Social Sciences: A Preliminary Analysis of Network Data

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