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Community detection is a hot topic in social networks. The presentation of a different computational paradigm with respect to traditional approaches can be beneficial for researchers to explore new approaches and principles to deal with this problem. The target audience is constituted by all those researchers interested in approaching the problem of community detection with computational models inspired...
We describe the results of a field deployment of the AURA system which links online content to physical objects through machine readable tags. AURA runs on commercially available pocket computers using integrated bar-code scanners, wireless networks, and web services. We conducted a real world deployment with twenty participants over five weeks. The results from our field study illustrate the importance...
As people use social media they form networks that have several basic forms: divided, unified, fragmented, clustered, and hub and spoke patterns with in and outward facing links. These patterns are associated with different types of topics and discussions: polarized, in-group, brand, community, broadcast, and support. Since each pattern has specific properties in terms of its ability to spread information...
This tutorial provides an overview of social network analysis (SNA) and demonstrates through theory and practical case studies its application to research on Weblogs and Social Media. This topic has grown in importance with the increasing popularity of social networking websites in particular (e.g. Twitter, YouTube, Facebook, LinkedIn etc.) and social computing in general. As people increasingly participate...
Marketing campaigns using social media services aim to exploit social connections to propagate messages to potential customers. However, social activities often give rise to multiple network structures and some may be more effective in achieving the communication objectives than others. This led us to investigate a problem: given an observed sequence of messages and a social network that includes...
NodeXL (http://nodexl.codeplex.com/) is an application that simplifies basic network analysis tasks and supports analysis of social media networks. Using the widely familiar framework of a spreadsheet, NodeXL integrates the features needed to collect, store, analyze, visualize and publish network datasets. The tool connects to a wide range of data sources and to other SNA packages through GraphML...
EventGraphs are social media network diagrams of conversations related to events, such as conferences. Many conferences now communicate a common "hashtag" or keyword to identify messages related to the event. EventGraphs help make sense of the collections of connections that form when people follow, reply or mention one another and a keyword. This paper defines EventGraphs, characterizes...
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