Management Science
Decision analysis and expert systems
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Discrete Mathematics
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Inferring agent dynamics from social communication network
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Seeding influential nodes in non-submodular models of information diffusion
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
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Many researchers have investigated the social and cognitive processes underlying organizational behavior, with particular interest in understanding the interaction between the social and cognitive dimensions. Because of the widespread use of graphs as models of social and cognitive structures, these studies frequently encounter the problem of analyzing collections of graphical structures. Such analyses have used a variety of approaches to address specific aspects of such structures. However, no single unified approach has emerged that supports the several different types of analyses required. The purpose of this paper is to define such an approach, based on a mathematical model for capturing the relationships among multiple graphs, and to demonstrate its application to the investigation of social and cognitive structures in organizations.