Interactive information visualization in a conference location

Workshop on Social Networks, CSCW, 2004

Visualizations have played an important role in generating new insights in social network analysis. We suggest that such visualizations can be of interest not only to analysts and researchers but also to the people whose data is being analyzed. In this paper we briefly talk about ...

Big Data and Cognitive Computing

Social networking platforms connect people from all around the world. Because of their user-friendliness and easy accessibility, their traffic is increasing drastically. Such active participation has caught the attention of many research groups that are focusing on understanding human behavior to study the dynamics of these social networks. Oftentimes, perceiving these networks is hard, mainly due to either the large size of the data involved or the ineffective use of visualization strategies. This work introduces VizTract to ease the visual perception of complex social networks. VizTract is a two-level graph abstraction visualization tool that is designed to visualize both hierarchical and adjacency information in a tree structure. We use the Facebook dataset from the Social Network Analysis Project from Stanford University. On this data, social groups are referred as circles, social network users as nodes, and interactions as edges between the nodes. Our approach is to present a v...

2004

Abstract This paper describes a visual social browser for exploring the evolution of social networks over time. We consider the exchange of e-mails between actors as an approximation of social ties. Our system analyzes the dynamic progression of communication patterns of e-mail traffic within groups of individuals. It combines a discrete visualization view, a continuous visualization view, and an adjacency matrix view.

Collection of selected papers of the II International Conference on Information Technology and Nanotechnology, 2016

The article is devoted to the analysis of social networks, which are presented by graphs. The paper presents approaches to the modeling of distributions of social networks as well as the algorithms used for finding communities, as well as accounts that have the greater impact on the community.

IGI Global eBooks, 2010

Release 1.0, 1996

We first met Valdis Krebs in mid-1988, when he responded to our musings on groupware with his thoughts on visualizing organizations and work flow (see Release 1.0, 9-88). At the time, he was an IS project manager during the day and a UCLA grad student at night. For a school project consulting to Toyota's then-new Lexus division on organizational design, he developed some software to help make explicit and measurable some otherwise fuzzy concepts. Since then, he has started a consulting practice and further developed InFlow, the software tool (with Prolog programmers in England and algorithm experts in Latvia). This issue of Release 1.0 contains Valdis' advice on making sense of the torrent of alliances, mergers, acquisitions, layoffs and corporate divorces we see each week, as well as the personal relationships within and between companies that make everything else happen.

Computational Social Networks, 2012

Social Network Analysis (SNA) is becoming an important tool for investigators, but all the necessary information is often available in a distributed environment. Currently there is no information system that helps managers and team leaders monitor the status of a social network. This chapter presents an overview of the basic concepts of social networks in data analysis including social network analysis metrics and performances. Different problems in social networks are discussed such as uncertainty, missing data and finding the shortest path in a social network. Community structure, detection and visualization in social network analysis is also illustrated. This chapter bridges the gap among the users by combining social network analysis methods and information visualization technology to help a user visually identify the occurrence of a possible relationship amongst the members in a social network. The chapter illustrates an online visualization method for a DBLP N. Ghali ( )

2009

Visualization plays an important role in social networks analysis to explore and investigate individual and groups behaviours. Therefore, different approaches have been proposed for managing networks patterns and structures according to the visualization purposes. This paper presents a method of social networks visualization devoted not only to analyse individual and group social networking but also aimed to stimulate the second-one. This method provides (using a hybrid visualization approach) both an egocentric as well as a global point of view. Indeed, it is devoted to explore the social network structure, to analyse social aggregations and/or individuals and their evolution. Moreover, it considers and integrates features such as real-time social network elements locations in local areas. Multidimensionality consists of social phenomena, their evolution during the time, their individual characterization, the elements social position, and their spatial location. The proposed method was evaluated using the Social Interaction Map (SIM) software module in the scenario of planning and managing a scientific seminars cycle. This method enables the analysis of the topics evolution and the participants' scientific interests changes using a temporal layers sequence for topics. This knowledge provides information for planning next conference and events, to extend and modify main topics and to analyse research interests trends.

2009