Using Social Network Analysis for Information Retrieval for Mapping Information and Knowledge Flows

Abstract

Knowledge is an important resource to create competitive advantages for any organization. This knowledge is circulated and accumulated by a networking which os shown by the knowledge flow (KF) in an organization. This KF will help to support to see the workers involve in different tasks. The team workers may work together and participate in several tasks in a group to fulfill their organization needs. In this paper, we propose a knowledge flow in a group which integrates information retrieval and social network analysis techniques for mining, constructing and retrieval of information in the network for different tasks. The directed knowledge graph is used to represent the knowledge referencing behavior for a group with the workers with respect to the tasks. The frequent referencing network flow paths are identified from the knowledge flow or graph which indicates between the workers. This paper aims to illustrate the use of Social Network Analysis (SNA) to map information retrieval and knowledge flow in teams with members of diverse areas. This aims to supplement the qualitative methodology with embed SNA. The SNA findings will be used to demonstrate that network ties are useful predictors for information and knowledge flows in teams .This can be the better indicators than formal projects and their structures. The Network Analyser is used for research design is used to represents to target knowledge management in project environments. The analyzer tool SocNetV (Social Networks Visualizer) is explored and attempted to discuss about the relationships of the different networks. This study implements to develop a proposed model to demonstrate effectiveness, information retrieval and Knowledge flow between the workers for tasks.

Keywords: Information Retrieval, mapping Information, Knowledge flows