Social Network Spatial Structure Analysis And Research

In recent years, Facebook, Sina micro-blog and other social networks as a new kind ofInternet application obtained fast development, and gradually popular in the world. With therapid rise of social networks, the research and analysis of social space structure has become ahot spot of academic circles. Social network is through its enormous influence, revolutionaryinfluence on every aspect of social life. In the traditional sense of the network and the urbanspace system is dependent on the geographical factors, the emerging social network thatinterpersonal networks and intercity networks weakened the influence of geographicaldistance, but the impact should not be neglected, network node in the space and the groupcharacteristics of the study of social space structure is particularly important.In this paper, the object of study focuses on the social network, the matrix expressionmethod and graphics expression in social space structure characteristic analysis, mainlythrough the centricity of interpersonal and inter-city nodes, the center of the network graphpotential, analysis of three aspects of human social networks and inter-city social spacestructure characteristic for quantitative analysis.Select the space network of Sina Weibo as a case, the use of computer programmingtechnology to collect information about the user location, three topics of concern to the city asthe standard, the analysis of the three hot topics urban social space network connection status,using ArcGIS spatial analysis software to map out the hot topic of cyberspace diagram,through quantitative analysis of actual case different levels of interpersonal and inter-citynodes. In graph theory, based on the three topics using Ucinet software intercity cases andorganizational patterns of social contact centers, central tendency and analysis, theintroduction of urban economic development indicators, and the reality of the virtual networklevel correlation between socio-economic development to explore, to show structural featuressocial networking space macro and meso level.The empirical results show that the node has grade, masking in the social space, thespatial distribution of the nodes show the imbalance and the phenomenon of polarization,cyberspace gathered trend was not significant, degrees of each network diagram centerembodies the decentralization of cyberspace, geographic distance still plays an important role;Reality space and virtual network space has coupling, the entire network vulnerability andhierarchy distribution characteristics of space system.Expand spatiotemporal GIS theory and applications, based on the expression of graphics and matrix of social network analysis method references to social network research, theconnection mapping and interactive real space and virtual network space to explorenetwork-based hot topic of interpersonal and Intercity social contact, revealing the virtualnetwork communities node mapping in real space and virtual social network analysis spatialstructure of multi-scale level. Explore the guiding role of social networks spatial structurevisualization methods, better use of network behavior on the line to provide a strongtheoretical support to explore the emerging network of community relations from theperspective of geospatial and mobile network information, and promote the economicgeography of the information age in-depth development.