The Open Cybernetics & Systemics Journal

2014, 8 : 77-84
Published online 2014 December 30. DOI: 10.2174/1874110X01408010077
Publisher ID: TOCSJ-8-77

Research on the Network Traversal based on Spatial Influence

Ma Jun , Wan Jie and Wang Wie
School of Safety & Environmental Engineering, Capital University of Economics & Business, Beijing, 100070, P.R. China.

ABSTRACT

Different from other types of social networks, close social network have its own topologic features and propagation principles, and it is very common in social life, so it is worth research in depth. Student’s network is a typical close network and suitable as a research object. The traversal of social network has been an important subject of social network analysis, and whether spatial factor is influencing factor need to verify. The importance of the topology characteristic value in student’s network traversal process is analyzed. Finally, the concept of vitality is put forward to illustrate spatial influence of traversal based on high close student’s network.

Keywords:

High close network, spatial influence, topologic features, traversal closeness.