Rural residential area social network modeling method based on public service facility configuration

Abstract

The invention provides a rural residential area social network modeling method based on public service facility configuration. The rural residential area social network modeling method comprises the following steps: 1) acquiring and integrating basic data of a target area; and 2) based on demands of people for education, medical treatment, entertainment and shopping facilities in daily life, expressing daily social relationships among the rural residential areas, and generating a daily social contact network of the rural residential areas; and 3) describing network features based on the rural residential area social network, and obtaining key nodes and isolated nodes in the rural residential area social network through centrality and social status analysis. Compared with the prior art, the invention has the advantages that interaction behaviors in daily life of people are reflected to a certain extent, meanwhile, the function of rural residences in the whole area can be predicted from the macroscopic level, network construction is closer to real daily social contact of people, and evaluation on the residences is more accurate.

Description

Technical field [0001] The present invention relates to social networking technologies, mainly involving a social network modeling method of rural residential social network based on public service facilities. Background technique [0002] As the main form of rural residents, rural residential points, play an important role in the living conditions of farmers, agricultural production and social interaction. From a certain extent, the distribution of rural settlements reflects the relatively stable social relationship between rural residents. With the emergence of traffic networks, information networks and production networks, rural residential points are not isolated, but is closely linked through various resources and elements. Country space has formed a complex social network because of these increasing contacts. Each residential point is played by the network and the interaction of each other's daily interaction shapes a distinct heterogeneity of the countryside. Therefore, in...

AI Technical Summary

Problems solved by technology

[0005] (1) Obtaining the interaction between residential areas through field surveys is very time-consuming, which leads to the fact that the research scope is often limited to a small village or town, and it is impossible to grasp the relationship between rural residential areas in the entire urban system at a macro level. play a role

In addition, during the questionnaire process, people's incorrect or perfunctory answers may affect the construction of the final social network, further affecting the evaluation of the importance of rural settlements

[0006] (2) The methods based on the traditional gravity model mostly focus on the evaluation of the influence between rural settlements, and lack the consideration of farmers' daily interaction behavior patterns

[0007] In general, the existing social network construction methods for rural settlements cannot predict the role played by rural settlements in the entire region from a macro level, and on the other hand, cannot truly reflect people’s daily interaction behaviors, which leads to poor understanding of rural settlements. The simulation of social interaction is not accurate enough to be applied and promoted in the following rural revitalization

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