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W e investigate the epistemology of trust in social networks. We posit trust as a special epistemic state that depends on actors' beliefs about each others' beliefs as well as about states of the world. It offers new ideas and tools for representing the core elements of trust both within dyads and larger groups and presents an approach that makes trust(More)
The authors argue that the ways in which people-scientists and laymen-use probabilistic reasoning is predicated on a set of often questionable assumptions that are implicit and frequently go untested. They relate to the correspondence between the terms of a theory and the observations used to validate the theory and to the implicit understandings of(More)
We introduce a formal language for describing epistemic states in networks at the individual (node, or agent) and interactive (multi-node) levels and at multiple epistemic levels (knowledge as well as knowledge about knowledge) and show how it allows us to represent states of belief, confidence and trust in the integrity and competence of other agents in(More)
We are grateful to participants in that conference for their commentary and input. Abstract We introduce a model of the dependence of the topology of interfirm networks on the distribution and commonality of information in a network and the information strategies pursued by its members firms. We examine the dynamic interactions between knowledge commonality(More)
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