Egocentric Database Operation and Statistical Models for Economy and Social Networks Analysis using Force Directed Algorithm

Abstract

Recent research development on egocentric social network analysis focuses on the causes and consequences of relationships among set of people rather than on the features, attribute data of individual and their basic database operations. This work described record types of network data model that would be suitable to perform database operations in social network analysis (SNA). It described two schemas that would be needed` for web space interface and database operations. A force directed algorithm was used to display membership vertices which show link membership number, name and pictures. Breadth first search algorithm was embedded in the algorithm to avoid endless searching in cycled nodes. Measurement of degree of centrality, between’s and closeness was incorporated to determine the relationship among the nodes and their linkages. Implementation of database operations into SNA reveals not only social information but also critical economic reports of the individuals. Observation of the work showed that users can impose any relevant query related to the defined schemas and the results would be available to monitor both social and economic activities of the memberships.