A Multiple-Aspects Visualization Tool for Exploring Social Networks

نویسندگان

  • Jie Gao
  • Kazuo Misue
  • Jiro Tanaka
چکیده

Social network analysis (SNA) has been used to study the relationships between actors in social networks, revealing their features and patterns. In most cases, nodes and edges in graph theory are used to represent actors and relationships, and graph representations are used to visually analyze social networks. However, many visualization tools using network diagrams tend to depict most information about social networks by using the properties of nodes, which result in a visual burden when identifying actors or relationships according to certain properties. There is a lack of tools to support work by investigators to provide insights into multiple-aspect networks. We considered actors, relationships, and communities to be three important elements, and developed a tool called MixVis that integrates a tagcloud, network diagrams, and a list to show the elements. Our tool allows users to explore social networks from elements of interest, and acquire details through links with the three different viewpoints.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Spatiotemporal Knowledge Visualization and Discovery in Dynamic Social Networks

In this paper, we introduce a so-called DyVT tool (Dynamic social network Visualization Tool) to support spatiotemporal knowledge visualization and discovery in dynamic social networks. The dynamic aspects of social networks refer to contextualized information such as spatial, temporal as well as users’ personalized information. We also define an XML-based target language incorporating emerging...

متن کامل

Data Analysis Methods in Social Networks

Background and Aim. The promising outlook of easy communication incurring minimum cost has caused social networks to face increasing number of active members each day. These members develop and expand international communication through information sharing including personal information. Thus, big data analysis of social networks provides companies, organizations and governments with ample and ...

متن کامل

Event Detection and Visualization for Social Text Streams

In this paper, we propose to detect events from social text streams by exploring the content as well as the temporal, and social dimensions. We define the term event in the social text streams(e.g., blogs, emails, and Usenets) as a set of relations between social actors on a specific topic over a certain time period. We represent social text streams as multi-graphs, where each node represents a...

متن کامل

Social Media and Social Mobility: Exploring the Role of Social Networks in the 2018 Boycott Campaign in Morocco

Social networks have been resorted to as effective platforms for social mobility in many parts of the world. This mobility occurs when social media users exploit their interpersonal relationships, especially their ‘weak ties’ (Granovetter, 1973). Social networks enable their users to be producers of information, rather than mere consumers, and to be socially and politically well-informed. They ...

متن کامل

Title of Document : VISUALIZING & EXPLORING NETWORKS USING SEMANTIC SUBSTRATES

Title of Document: VISUALIZING & EXPLORING NETWORKS USING SEMANTIC SUBSTRATES Aleks Aris, Doctor of Philosophy, 2008 Directed By: Professor Ben Shneiderman Department of Computer Science Visualizing and exploring network data has been a challenging problem for HCI (Human-Computer Interaction) Information Visualization researchers due to the complexity of representing networks (graphs). Research...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2009