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In this paper, we introduce a novel visualization method which allows people to explore, compare and refine the major communities in a large network. We first detect major communities in a network using data mining and community analysis methods. Then, the statistics attributes of each community, the relational strength between communities, and the boundary nodes connecting those communities are computed...
Popular in the nineties, 3D visualization has since garnered much criticisms. While historically the vast majority of 3D visualization evaluations have been based on the classical Brunelleschi's perspective rendering, today new questions are raised with the recent access to high quality stereoscopic representations. Do these new interfaces offer improvements over the traditional 3D counterparts? This...
Better ways of representing the results of image search can be found rather than regular lists of thumbnails. For this purpose, we propose a hierarchical visualisation scheme with two stages. We utilise the notion of image community and aim to detect communities within a large set of images by means of a novel deterministic community detection method. After image communities are detected, the representative...
Modeling phenomena with networks has a wide application in many disciplines including biology, economics, sociology, and computer science. In network analysis modularity is an important measure for automatically extracting communities of closely connected nodes. Another important aspect of the network analysis is network visualization. Different techniques for network layout generation exist and the...
Current applications have produced graphs on the order of hundreds of thousands of nodes and millions of edges. To take advantage of such graphs, one must be able to find patterns, outliers, and communities. These tasks are better performed in an interactive environment, where human expertise can guide the process. For large graphs, though, there are some challenges: the excessive processing requirements...
Most of the layout algorithms for clustered graphs have been designed to differentiate the groups within the graph, however they do not take into account the interactions between such groups. Identifying these interactions allows to understand how the different communities exchange messages or information, and allows the social network researcher to identify key actors, social roles and paths from...
Research on code clones and their impact on software development has been increasing in recent years. There are a number of potentially competing claims among members of the community. There is currently not enough empirical evidence to provide concrete information about these claims. This paper presents the results of a survey of members of the code clone community. The goal of the survey was to...
In a complex network, communities are groups of nodes that are densely connected inside while sparsely connected to the outside. The study of such communities is crucial in exploring the structure of a network, especially when small communities form larger ones that in turn group together to build even larger ones, resulting in a hierarchy. Besides, fence-sitting nodes, nodes shared among different...
Communities in social networks emerge from interactions among individuals and can be analyzed through a combination of clustering and graph layout algorithms. These approaches result in 2D or 3D visualizations of clustered graphs, with groups of vertices representing individuals that form a community. However, in many instances the vertices have attributes that divide individuals into distinct categories...
This paper proposes to visualize the relationships among online community members as a feedback that can motivate more active participation and reciprocation among community members. The approach is inspired by a combination of four theories of motivation from social psychology. The effect of the visualization was evaluated in an online community allowing Women in Science and Engineering to share...
Meerkat is a tool for visualization and community mining of social networks. It is being developed to offer novel algorithms and functionality that other tools do not possess. Meerkat's features include navigation through graphical representations of networks, network querying and filtering, a multitude of graphical layout algorithms, community mining using recently developed algorithms, and dynamic...
In this paper, we consider the problem of analysis and visualization of online conversations (chat histories, email archives, etc.). We present a dynamic graph drawing algorithm based on modification of multidimensional scaling. The algorithm builds a layout of sequence of graphs and produces a slice view of the evolution of online communications. The method have been applied for visualization of...
Social Network Analysis (SNA) has evolved as a popular, standard method for modeling meaningful, often hidden structural relationships in communities. Existing SNA tools often involve extensive pre-processing or intensive programming skills that can challenge practitioners and students alike. NodeXL, an open-source template for Microsoft Excel, integrates a library of common network metrics and graph...
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