Visualization Through Knowledge Representation Model for Social Networks

Knowledge management is a systematic and organizationally specified process and knowledge management system is all those technological components; software, hardware, people and processes supporting knowledge management initiative. These initiatives includes work flow maps, web sites, portals, document/team management system, data warehouses, data mining processes, databases, contact lists, virtual teams, collaboration tools, customer relationship management, applications and news (Davenport and Prusak 1998, Jashapara 2004) [1, 2]. Knowledge is not important per se [3] (Agostini et al 2003) instead the process of knowing, learning and creating knowledge is the relevant aspect [4] (Nonaka and Takeuchi 1995). In this paper knowledge representation is presented in 3D style for the understanding and visualization of dynamics of complex social networks by developing a TANetworkTool (Task Analysis Network Tool). The standard or normal representation of a typical social network is through a graph data structure in 2D. The dynamics of larger social networks is so complex some time it becomes difficult to understand the various levels of interactions and dependencies just by mere representation through a tree or graph. Although, many analytical methods provide relationship dependencies, role of different nodes and their importance in the network. In this paper we are presenting a visualization of networks by rotating the network through various dimensions to provide a more realistic view to understand the dynamics of complex social networks and complimenting the analytical results. This representation can also help authorities not necessarily having specific scientific background to understand and perhaps take preventive actions required in certain specific scenarios for example dealing with terrorist/covert networks.