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Social Network Analysis
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In this article, the development of social network analysis, tracing its origins in classical sociology and its more recent formulation in social scientific and mathematical work, is described and discussed. But it is argued that the analysis of social networks is not a purely static process.Abstract:
This paper reports on the development of social network analysis, tracing its origins in classical sociology and its more recent formulation in social scientific and mathematical work. It is argued...read more
Citations
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Globalization of R&D and open innovation: linkages of foreign R&D centers in India
TL;DR: In this article, the authors investigated the linkage patterns of foreign firms in India from an in-house developed database and found that most of the foreign firms are collaborating with the other foreign firms located in India.
Journal ArticleDOI
Decision support for team staffing: An automated relational recommendation approach
TL;DR: A decision support system based on a relational recommendation approach for providing an automated pre-selection of candidates that fit best with future team members and to practice by offering time and cost savings for HR professionals.
Journal ArticleDOI
Social capital and knowledge transfer: A multi-level analysis:
Jun Wei,Wei Zheng,Mian Zhang +2 more
TL;DR: In this paper, the authors explored how individual level and team level social capital characteristics manifest their joint influence on knowledge transfer, considering team social capital as a moderator between individual social capital and knowledge transfer.
Journal ArticleDOI
Comparative analysis of coauthorship networks of different domains: The growth and change of networks
Fuyuki Yoshikane,Kyo Kageura +1 more
TL;DR: This study describes and compares the characteristics of four different domains of personal collaboration networks, i.e., electrical engineering, information processing, polymer science, and biochemistry, and considers the development of networks.
Proceedings ArticleDOI
Constant-factor approximation algorithms for identifying dynamic communities
TL;DR: This paper designs and analyzes a approximation algorithm for inferring communities in dynamic networks with a provable approximation guarantee, and demonstrates the efficiency and effectiveness of the algorithm on real data sets.
References
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The Strength of Weak Ties
TL;DR: In this paper, it is argued that the degree of overlap of two individuals' friendship networks varies directly with the strength of their tie to one another, and the impact of this principle on diffusion of influence and information, mobility opportunity, and community organization is explored.
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Centrality in social networks conceptual clarification
TL;DR: In this article, three distinct intuitive notions of centrality are uncovered and existing measures are refined to embody these conceptions, and the implications of these measures for the experimental study of small groups are examined.
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Power and Centrality: A Family of Measures
TL;DR: In this article, the rank orderings by the four networks whose analysis forms the heart of this paper were analyzed and compared to the rank ordering by the three centrality measures, i.e., betweenness, nearness, and degree.
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Network data and measurement
TL;DR: Continued research on data quality is needed; beyond improved samples and further investigation of the informant accuracy/reliability issue, this should cover common indices of network structure, address the consequences of sampling portions of a network, and examine the robustness of indicators ofnetwork structure and position to both random and nonrandom errors of measurement.
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Social Structure from Multiple Networks. I. Blockmodels of Roles and Positions
TL;DR: In this paper, Boorman and White proposed a dual model that partitions a population while simultaneously identifying patterns of relations and role and position concepts in the concrete social structure of small populations.