Exploration of Social Networks with Visualization Tools

IJBMR, 2018

░ ABSTRACT: In this paper, we have reviewed several social networking sites, evolution and background and significance of social media. Social networking is used as platform for various applications like: government, business, educational, political, dating and matrimonial, etc. Motivation is to examine adversarial networks and represents the activities observed by analyser. Additionally we've examined social network model and operations performed in it along with simulation and close degree algorithm, Adversarial Network analyser and analysis of vulnerabilities of an organization analysed. We examine the types of posting on social media websites and influence of posting data and privacy concerns of Facebook and twitter users. This study indicates the different concerns of users regarding posting information and its influences of user based privacy concerns. In addition we discussed several classification and clustering techniques used for data mining in online social networking sites and the market targets and parameters and analysis of different variables as per the usage of SNSs.

Aim of this paper is to describe, from a theoretical point of view, the main spatial and representational schemata rising in the field of Social Network Analysis (SNA).

Theory & Psychology, 2012

Social network analysis offers a broad range of formal and interpretative methodologies to deal with social structures, not only by discursive, but also by visual means. Sociograms, depicting social relations as nodes and lines, have played an important part in the reification of social structures since the beginnings of sociometry. This paper brings together two strands of analysis: first, a historical perspective on the development of social network visualization; and, second, exemplary stories of black-boxed technologies that inform not only the depiction, but also the interpretation of social networks. The article aims to reflect upon scientific construction of social structures as knowledge that is appropriated by society not least owing to its easy handling as tool and interface. Drawing social networks is regarded as social technology and therefore as an application within the realms of social engineering.

2006

Assessments of configurations, dynamics, and cause and effect are at the heart of our thinking and explanation. Although numerous methods for such assessments have been developed and are being used in daily scientific practice, visualization is usually not considered to be one of them. In this article we first argue that this is due to the common practice of visualizing data rather than the information contained in it; second, we address a number of principles for effective visualization; and third, we assess visualizations generated by the software tool visone in order to explain network outcomes using these principles.

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 ( )

As social network information keeps growing, there is always a need for better information visualization techniques for carrying out multifarious analysis, which is commonly called as social network analysis. Social networks have become a big platform for advertisements, where a company targets highly connected than to more isolated users. To target highly connected users and their activities, visualizations such as Euler diagrams, Treemap diagrams, graphs and their combinations were tested by various researchers. Though Euler diagrams combined with graph and Treemap diagrams with graph have provided some interesting results, the one question yet to be answered is the scalability. In this paper, we propose a novel visual technique, " Spherule diagrams with graph " , which addresses the scalability issue. The novel technique is then compared with the traditional Euler diagrams with graph using a twitter case study in an empirical form. Twenty-eight participants were exposed to eighteen diagrams (nine diagrams of each type of visualization) in a software which recorded accuracy and response time (i.e., performance measure). The results of 504 observations indicate that (a) there is no significant difference between the visualizations in terms of accuracy and (b) there is a significant difference between the visualizations in terms of response time. Also, users were asked to aggrandize between the two visualizations (i.e., preference measure), where 75% preferred Spherule diagrams with graph for its simplicity, comprehensiveness, navigation, alignment (layout), set ordering and data items ordering characteristics. We conclude that, Spherule diagrams with graph will be beneficial for researchers and practitioners in the information visualization community who are exploring social networks for business.

PsychNology J., 2008

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...

… , 2005. INFOVIS 2005. IEEE Symposium on, 2005

Recent years have witnessed the dramatic popularity of online social networking services, in which millions of members publicly articulate mutual "friendship" relations. Guided by ethnographic research of these online communities, we have designed and implemented a visualization system for playful end-user exploration and navigation of large-scale online social networks. Our design builds upon familiar node-link network layouts to contribute techniques for exploring connectivity in large graph structures, supporting visual search and analysis, and automatically identifying and visualizing community structures. Both public installation and controlled studies of the system provide evidence of the system's usability, capacity for facilitating discovery, and potential for fun and engaged social activity.

IEEE

At present, the complexity and scale of modern social networks is at its highest level but there is a gap in how to represent these networks and their relationships to a user. As a result, it is often hard for a user to understand the relationships in the social networks and make an informed decision over it. Network diagrams has become a standard for social networks visualisation and analysis. However, in this paper, two alternative visualisation types for social network representation and analysis were considered. An Euler diagram and treemap were evaluated for visualising social networks and conveying information on people in a network, their relationships and common interests. Then two new visualisations for social network representation based on these two types of visualisation were proposed. An Euler diagram augmented by a network diagram and a treemap combined with a network diagram were designed and then compared in an evaluation. The visualisations were evaluated by twenty participants for appropriateness and usefulness of the two visualisations in comparison to each other. Finally, the results of the evaluation, limitations and usefulness of the proposed diagrams were discussed.

Proceedings of the 14th International Conference on Computer Graphics and Artificial Intelligence, Athens Greece, 2011

Internet-based social networks are facilities (typically web sites) where people can form online communities, connect to each other and share information. This paper explores the area of applying visual analytics to represent data and underlying relationships in social networks-more specifically, on the Twitter micro-blogging service. Networks of this kind can be treated as graphs, where each node corresponds to a user or a specific piece of information and edges connect such nodes representing relationships. Visualizing graphs is a vast research area in its own right, with numerous applications in science and engineering. In this assignment we are using readily-available software to visualize parts of the network, via filtering or other operations, in order to be able to draw conclusions. Social networks are an excellent candidate to apply visual analytics to, due to their exponential growth when new users join.