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Egocentric analysis of co-authorship network structure, position and performance

Information Processing & Management, 2012
In this study, we propose and validate social networks based theoretical model for exploring scholars' collaboration (co-authorship) network properties associated with their citation-based research performance (i.e., g-index). Using structural holes theory, we focus on how a scholar's egocentric network properties of density, efficiency and constraint ...
Alireza Abbasi   +2 more
openaire   +4 more sources

An Exploratory Analysis Using Co-Authorship Network

2019
Social network analysis has been widely used by organizational behavior researchers to stress the importance of the context, social connections, and social structure on human behavior. In the last decade, social network analysis has emerged as one of the most useful techniques for exploring online social networks, world wide web, e-mail traffic, and ...
Burçin Güçlü   +2 more
openaire   +1 more source

Towards the analysis of co-authorship networks by iterative spectral partitioning

2011 11th International Conference on Intelligent Systems Design and Applications, 2011
Spectral partitioning is a well known method in the area of graph and matrix analysis. Several approaches based on spectral partitioning and spectral clustering were used to detect structures and mine data from real world networks. In this paper, we use a simple spectral decomposition to analyze a co-authorship network.
Václav Snásel   +2 more
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Analysis of Significance and Evolution of Co-authorship Networks

2016
In co-authorship networks analysis, we may find many interesting tasks. The goals of networks analysis are: studying network structure, detecting communities and their evolution over time, identifying significant authors and relations, and many others.
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Co‐Authorship Network Analysis in Industrial Ecology Research Community

Journal of Industrial Ecology, 2015
Summary Many scientific collaboration networks have been extensively studied from different perspectives, such as network degree analysis or centrality. However, there has been little study of the scientific collaboration network in the industrial ecology (IE) research domain and community. In this study therefore,
Kim, Junbeum, Perez, Charles
openaire   +3 more sources

Visual Analysis of a Co-authorship Network and Its Underlying Structure

2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008
An interesting property of network is that the information is not only contained in the entities, but also in the links between them. As the structure of the co-authorship network can greatly influence its function and reflect how the internal information is exchanged.
Qi Ye 0008, Bin Wu 0001, Bai Wang 0001
openaire   +2 more sources

Co-authorship network analysis in improvisation theory research

2012 International Conference on Information Management, Innovation Management and Industrial Engineering, 2012
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 ...
Pengbin Gao, Weiwei Wu, Bo Yu
openaire   +1 more source

CNARe

Proceedings of the 9th ACM Conference on Recommender Systems, 2015
We present CNARe, an easy-to-use online system that shows personalized collaboration recommendations to researchers. It also provides visualizations and metrics that allow to investigate how the recommendations affect a co-authorship social network and other analyses.
Guilherme A. de Sousa   +3 more
openaire   +2 more sources

Network Analysis of Co-authorship and Research Directions in Thermoelectrics

Journal of Thermoelectricity
This paper presents a methodology for constructing an extended co-authorship network in the field of thermoelectrics by integrating direct co-authorship links with thematic proximity derived from researchers’ Google Scholar profiles. The network is built through targeted probing using relevant keywords (e.g., "thermoelectrics"), and link weights are ...
D. Lande   +4 more
openaire   +1 more source

The Determinants of Co-Authorship: An Analysis of the Economics Literature

The Review of Economics and Statistics, 1983
McDowell, John M, Melvin, Michael
openaire   +1 more source

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