Spatiotemporal social network analysis can show relationships among people at a particular time and location. This paper presents an algorithm that mines text for person and location words and creates connections among words. It shows how this algorithm output, when chunked by time intervals, may be visualized by third-party social network analysis software in the form of standard network pin d...

The study of social systems shows that there is a relationship of mutual influence between social connections and individual behavior, known as homophily. In this work, we developed a methodology to allow the analysis of interests of groups of users in Twitter network, based on automatic community detection and tweets ranking. The techniques presented reveal evidences that the presence of commu...

Social networks are the main resources to gather information about people’s opinion and sentiments towards different topics as they spend hours daily on social medias and share their opinion. In this technical paper, we show the application of sentimental analysis and how to connect to Twitter and run sentimental analysis queries. We run experiments on different queries from politics to humanit...

Aim of this paper is to describe an unified framework for the treatment of network data with interpretative tools of Multidimensional Data Analysis. Social Network Analysis is an analytical framework concerned with the detection and interpretation of ties patterns among social actors, while Multidimensional Data Analysis is a collection of techniques to explore different kind of statistical dat...

Social Networking accounts for a significant chunk of interest among various online activities [11]. The proclivity of being social, online, has been ingrained in us so much that we are actively producing content for the rest of the world to see or take interest in our whereabouts, our meals, our opinions, photographs etc. Yelp, seamlessly, integrates this very aspect of people in its portal. I...

In knowledge management (KM), one perspective is that knowledge resides in individuals who interact in groups. Concepts as communities-ofpractice, knowledge networks, and “encultured knowledge” as the outcome of shared sense-making (Blackler, 1995) are built upon this perspective. Social network analysis focuses on the patterns of people’s interactions. This adds to KM theory a dimension that c...

Social network analysis has been one of the most influential scientific revolutions of the past century. Its success has been due, in part, to its methodological sophistication and the emphasis it places on identifying and clearly depicting features of social structure. As such, social network analysis is often viewed in stark contrast to the structuralist paradigm that dominated the social sci...