{"id":161268,"date":"2011-05-06T00:00:00","date_gmt":"2011-05-06T00:00:00","guid":{"rendered":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/msr-research-item\/learning-the-nature-of-information-in-social-networks\/"},"modified":"2018-10-16T20:11:56","modified_gmt":"2018-10-17T03:11:56","slug":"learning-the-nature-of-information-in-social-networks","status":"publish","type":"msr-research-item","link":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/publication\/learning-the-nature-of-information-in-social-networks\/","title":{"rendered":"Learning the nature of information in social networks"},"content":{"rendered":"<div class=\"asset-content\">\n<p>We postulate that the nature of information items plays a vital role in the observed spread of these items in a social network. We capture this intuition by proposing a model that assigns to every information item two parameters: endogeneity and exogeneity. The endogeneity of the item quantifies its tendency to spread primarily through the connections between nodes; the exogeneity quantifies its tendency to be acquired by the nodes, independently of the underlying network. We also extend this item-based model to take into account the openness of each node to new information. We quantify openness by introducing the receptivity of a node as an additional parameter in our model. Given a social network and data related to the ordering of adoption of information items by nodes, we develop a maximum-likelihood framework for estimating endogeneity, exogeneity and receptivity parameters. We apply our methodology to synthetic and real data and demonstrate the efficacy of our framework as a data-analytic tool.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>We postulate that the nature of information items plays a vital role in the observed spread of these items in a social network. We capture this intuition by proposing a model that assigns to every information item two parameters: endogeneity and exogeneity. The endogeneity of the item quantifies its tendency to spread primarily through the 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