Egocentric database operations for social and economic network analysis

Abstract

Recent research development on egocentric social network analysis focuses on the causes and consequences of relationships among sets of people rather than on the features, attribute data of individuals, and their basic database operations. This work describes a record type of network data model that would be suitable to perform database operations in social network analysis (SNA). It describes two schemas that would be needed for web space interface and database operations. A force directed algorithm was used to display membership vertices that show link membership number, name, and pictures. A Breadth first search algorithm was then embedded in the algorithm to avoid endless searching in cycled nodes. Measurement of degree of centrality, betweenness, 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.