Computational organization theory
Multiagent systems
Computational & Mathematical Organization Theory
Microscopic evolution of social networks
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Local Probabilistic Models for Link Prediction
ICDM '07 Proceedings of the 2007 Seventh IEEE International Conference on Data Mining
Toward Predicting Collective Behavior via Social Dimension Extraction
IEEE Intelligent Systems
A supervised machine learning link prediction approach for academic collaboration recommendation
Proceedings of the fourth ACM conference on Recommender systems
Simulating human-like decisions in a memory-based agent model
Computational & Mathematical Organization Theory
A Scalable Framework for Modeling Competitive Diffusion in Social Networks
SOCIALCOM '10 Proceedings of the 2010 IEEE Second International Conference on Social Computing
The Swarm Model in Open Source Software Developer Communities
SOCIALCOM '10 Proceedings of the 2010 IEEE Second International Conference on Social Computing
Link Prediction Across Multiple Social Networks
ICDMW '10 Proceedings of the 2010 IEEE International Conference on Data Mining Workshops
SBP'10 Proceedings of the Third international conference on Social Computing, Behavioral Modeling, and Prediction
Recommendation in reciprocal and bipartite social networks: a case study of online dating
SBP'13 Proceedings of the 6th international conference on Social Computing, Behavioral-Cultural Modeling and Prediction
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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.