A new method to identify collaborative partners in social service provider networks

Yong Sun (), Wenan Tan (), Lingxia Li (), Weiming Shen (), Zhuming Bi () and Xiaoming Hu ()
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Yong Sun: Nanjing University of Aeronautics and Astronautics
Wenan Tan: Nanjing University of Aeronautics and Astronautics
Lingxia Li: Old Dominion University
Weiming Shen: National Research Council
Zhuming Bi: Indiana University Purdue University Fort Wayne
Xiaoming Hu: Shanghai Second Polytechnic University

Information Systems Frontiers, 2016, vol. 18, issue 3, No 10, 565-578

Abstract: Abstract The interactions among service providers are represented as a social network to support service-oriented collaborations across multiple manufacturing enterprises. The combination of service-oriented computing and social network facilitates the connection and collaboration within enterprises. It is essential to identify a group of prosperous collaborative partners in a social network in a prompt and efficient way, especially when the number of alternative service providers is large. However, traditional exhaustive searching approaches are inapplicable in identifying a host enterprise and constitutive members due to the prohibitive computations. In this paper, a new and efficient approach has been proposed to identify service providers optimally based on existing social relations. Three innovations in the proposal are (i) a set of new concepts has been defined to construct a social service provider network; (ii) based on remodeling the social graph, the betweenness centrality algorithm has been enhanced to efficiently find the leader who serves as the host enterprise of a given engineering project; (iii) to improve the efficiency of computation, an innovative algorithm is proposed to identify the collaborative partners by confining the searching space in the set of connector nodes. For the validation purpose, the experimental simulation is conducted and the results have demonstrated that the proposed algorithms outperform several existing algorithms in terms of computation time in dealing with the increasing number of enterprises.

Keywords: Social network; Service-oriented computing; System integration; Collaborative computing; Business alliance formation (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (8)

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DOI: 10.1007/s10796-015-9547-4

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