A Study On Spatial Relationships Of Interpersonal Nodes In SNS

This thesis takes SNS as the research object, Happy net as the focal point. Followthe tracks of statistic, acquired basic information about12representative groups ofHappy net, total6000members and36topic friends about7000members. These datawere analyzed by using Photoshop and CAD software, exploring spatial structure ofSNS interpersonal node. Further, we introduced urban primacy index and Index-duallogarithm model, working deep in the clustering-scattered spatial evolutioncharacteristics of SNS interpersonal node. The study showed that:(1) The spatialstructure of the members of12representative groups, showing layered structure,further found that from geographical relationship to learning edge relationship toKarmic relationship to interest margin of the relationship, the Layered structureshowing excessive agglomeration by the part of the city to relative dispersion ofnumbers of cities, the number of circles gradually increased.(2)The spatial structureof the36topic friend about7000members, showing layered structure, too. Fromgeographical relationship to learning edge relationship to karmic relationship tointerest margin of the relationship, this spatial structure showing the trend ofexcessive agglomeration in topic of issue to relatively fragmented in part of the cities.(3)Through urban primacy index calculation finding that members of representativegroups or topic friends, the node spatial structure of interpersonal showedagglomeration-dispersion characteristics, from geographical relationship to learningedge relationship to Karmic relationship to interest margin of therelationship.(4)Based on Index-dual logarithm model, the spatial distributioncharacteristics of12representative groups were as follows: underlying index R2wereall above0.7, basically in line with exponential law. From geographical relationship tolearning edge relationship to Karmic relationship to interest margin of the relationship,the-q absolute value of the exponential trend line, relative to the uniform state–q=1,the deviation were gradually increases.(5)Based on Index-dual logarithm model, thefriends of the36topic，its spatial distribution characteristics, were not all satisfy theexponential law. The topic friends of interest margin of the relationship, node spatial structure of interpersonal were comply with law of exponential, showing uniformdistribution of characteristics. Karmic relationship, node spatial structure ofinterpersonal was in line with the law of exponential generally, to topic friends’ nodespatial structure of interpersonal, node clustering phenomenon appeared in several ofeconomic well-developed metropolis. Learning edge relationship, topics friends’ nodespatial structure of interpersonal did not fully meet the law of exponential, the nodeclustering characteristics significantly enhanced. Geographical relationship, nodespatial structure of interpersonal was not in line with the law of exponential generally,the spatial distribution of interpersonal node of topic friends, agglomerationcharacteristic further enhance.(6)By analyzing the coupling of population structure ofSNS and node spatial structure of interpersonal of SNS, we found that the circle–group population structure of SNS and its agglomeration-dispersion characteristicsof interpersonal node had coupling. The internal reasons were as follows: people’shigher level of spiritual needs, the guidance role of the social fashion to crowd, payingmore attention to social events, social hot spots, and public figures.This thesis was composed of five parts:The first part was the introduction. It introduced the research background of thearticle. Then reviewed and analyzed related literatures of domestic and foreignincluding four aspects, such as: mode of transmission of SNS, user characteristics ofSNS, privacy Settings of SNS and its commercial operation mode etc, but studying onthe interpersonal node spatial relationships of SNS was quite a few. In addition, thispart introduced the research methods and established the research content and frame,finally described the Significance of the topic.The second part was an important fundamental element of this study, whichcomposes of the research object, the research data acquisition, processing and analysis.Highlighting how to acquired the basic information about members of Happy net’s12representative groups, and36topic friends about7000members, laying thefoundation for the empirical analysis below.The third part was the basic theory and spatial relationships of SNS interpersonalnode which was one of the main bodies of the entire article. In this part we use Photoshop and CAD software, exploring spatial structure of SNS interpersonal node.Further, we introduced urban primacy index and Index-dual logarithm model,working deep in the clustering-scattered spatial evolution characteristics of SNSinterpersonal node.The forth part analyzed the coupling of population structure of SNS and thespatial structure of SNS interpersonal node, making this study more complete, moresystemic.The fifth part was the conclusion and discussion, which summarizes the researchresults and deficiencies of this thesis.