TY - JOUR
T1 - Simulating inter-organizational collaboration network
T2 - A multi-relational and event-based approach
AU - Zhao, Kang
AU - Yen, John
AU - Ngamassi, Louis Marie
AU - Maitland, Carleen
AU - Tapia, Andrea H.
N1 - Funding Information:
John Yen received his PhD in Computer Science from University of California, Berkeley, in 1986; MS in Computer Science from University of Santa Clara in 1982, and BS in Electrical Engineering from National Taiwan University in 1980. He is currently University Professor and Director of Strategic Research Initiatives at the College of Information Sciences and Technology at the Pennsylvania State University. His research interests include social network analysis, intelligent agents, social media mining, and cloud computing. He has published a book, two edited volumes, and over 170 refereed papers. Sponsors of his research include NSF, ARL, ARO, ONR, AFOSR, DOE, NIH, and MIT Lincoln Laboratory. He received the NSF Young Investigator Award in 1992, and was named a Fellow of IEEE in 2000.
Funding Information:
Kang Zhao is currently a PhD candidate at the College of Information Sciences and Technology, the Pennsylvania State University, USA. He received BE in Electrical Engineering from Beijing Institute of Technology and an MS in Computer Science from Eastern Michigan University. At Penn State University, he was the recipient of the Graham Endowed Graduate Fellowship and the Network Science Exploration Grant. His research interests include the simulation and analysis of complex social, inter-organizational and supply-chain networks, social computing and agent-based systems.
PY - 2012/5
Y1 - 2012/5
N2 - In this research, we study inter-organizational collaboration from the perspective of multi-relational networks. We develop an agent-based model to simulate how a collaboration network among organizations emerges from organizations’ interactions through another network: the inter-organizational communication network. Our model adds links (or edges) into the collaboration network on the basis of events, which correspond to organizations’ formation of collaborative teams for joint projects. The proposed approach also models the competitive yet non-exclusive dissemination of information among organizations, organizations’ dynamic prioritization of candidate projects, and network-based influence. Applying the model to a case study of the humanitarian sector, we configure and validate the agent-based simulation, and use it to analyze how to promote inter-organizational humanitarian collaboration by encouraging communication. The simulation results suggest that encouraging communication between peripheral organizations can better promote collaboration than other strategies.
AB - In this research, we study inter-organizational collaboration from the perspective of multi-relational networks. We develop an agent-based model to simulate how a collaboration network among organizations emerges from organizations’ interactions through another network: the inter-organizational communication network. Our model adds links (or edges) into the collaboration network on the basis of events, which correspond to organizations’ formation of collaborative teams for joint projects. The proposed approach also models the competitive yet non-exclusive dissemination of information among organizations, organizations’ dynamic prioritization of candidate projects, and network-based influence. Applying the model to a case study of the humanitarian sector, we configure and validate the agent-based simulation, and use it to analyze how to promote inter-organizational humanitarian collaboration by encouraging communication. The simulation results suggest that encouraging communication between peripheral organizations can better promote collaboration than other strategies.
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U2 - 10.1177/0037549711421942
DO - 10.1177/0037549711421942
M3 - Article
AN - SCOPUS:84860146956
SN - 0037-5497
VL - 88
SP - 617
EP - 633
JO - SIMULATION
JF - SIMULATION
IS - 5
ER -