Sunbelt XXXI International Network for Social Network ... - INSNA

Mining Social Networks To Understand Group Formation Patterns Using Market Basket AnalysisGanesh, Jai; Cheluvaraju, BharathOnline Social NetworksSocial Network, Social Network Analysis, Group Structure, Associograms, Data MiningTHURS.PM1Social Networking destinations allow users to create groups and sub‐groups based on common areas of interest including areas such as technology, business,fun, movies, books etc. The groups bring together like‐minded users by providing a common platform for interaction, collaboration and knowledge exchange.The peer‐to‐peer exchanges that take place in social networking environments go beyond providing direct value to the user. The environment fosterscollaboration among the participants; this can lead to an aggregation of content and ideas within sites or sections of sites. This has interesting implications onenterprises wanting to leverage social networks to draw insights and inferences on user preferences as well as user participation in networks. Understandingusers’ group behavior would help to establish generic user needs and attitudes towards various areas of interest. This has interesting implications forenterprises marketing their products and services by allowing them to conduct improved demographic analysis as well as better segmentation targeting andpositioning of their offerings. The same can be extended to enable firms to better monetize their offerings. This paper attempts to analyze patterns withingroup membership in Facebook user groups. We propose a model based on market basket analysis over a subset of the social networks groups and then derivea set of associative mining rules. The inferences provide interesting insights into user behavior in social networks with regard to group formation as well asgroup participation. In this paper we share results from mining Facebook user profiles and the findings about group formation patterns using market basketanalysis. The objective is to attempt aggregation of social network participants at the group membership and participation level and draw insights into userprofiles.Mission Statements ‐ Networks Of ConceptsZdziarski, MichalLeadership NetworksLeadership, Organization Theory, Core/periphery, Interorganizational Networks, Clustering, Business SystemsSUN.AM1The aim of this lecture would be to compare key concepts in mission statements of largest corporations. Defining mission and values is key competence ofcorporate leadership. I will present analysis of two mode network of companies and concepts for two sets of missions: world's largest industrial companies,and largest companies from developing countries. Analyses will focus on central and peripheral concepts and thus similarities and dissimilarities amongcorporate visions and missions, as well as comparative characteristics of both sets.