Research On The Spatial Structure And Characteristics Of Information-Network Based On Network Public Opinion

The dissemination of Internet-based information changed the previous pattern of Geography,while micro-blog has formed an important platform for exchanging information.Using the method of social network analysis and GIS visualization,this paper tries to analyze the path of information transmission in micro-blog from the perspective of Geography.With the increasing number of the audience,the spread of the network information presents exponential growth.In order to explore the impact of the expansion of relations behind the reality and geographic space,the work,basing on a topic benchmark,captures the information of network data in the user identity extracted in common,and establishes quantitative spatial network.Firstly,select a representative of public opinion in the public network,collect the propagation stage in the data in the particular topic.In addition,the stage process of gathering public opinion that is generated to the demise of the entire process.Secondly,process of cleaning and processing the data obtained sequentially data,then selecting study area and content.Next,draw conclusions basing on the work done,and put forward the problems and prospects for the research process,content and conclusions.For process analysis,the paper adopts the methods that,Social Network Analysis and Gravity Model from the field of socio-economy.Secondly,this paper try to improve the analytical methods and models,besides that,put forward new questions and establish new models from assumptions in the social network analysis from the perspective of Geography.In general,the researching on the specific nodes mostly base on social network data.That density,structure,center,core-edge and space-time characteristics are implemented in overall network.While the Gravitational Analysis and Correlation Analysis are implemented in the specific area.Finally,calculate the Contribution Rate and implement of Group Regression Analysis of the individual nodes.The overall steps analysis program are that:analyzing the whole investigative network,spinning to dig the relationship between the data,looking for its relationship between in geography and sociology.Eventually the results show that:(1)The space of network information has the geographical features.while Cyberspace is to "compress" the real space,information network space and the reality of space there is a common relationship and law,and there is no concept of "Dead of Distance ".(2)The spatial structure and the social economy are relatively consistent,which shows that the number of in-out degree in network are consistent with the development of the economic level.But situations of dissemination are different in certain central cities.In reality,there is positive feedback on the flow of information about the urban economy,in views of the scale of development and the network information space.(3)In network,the dissemination of public opinion is regional.In addition,region of nodes is controlled by independent center-cities.In network,those cities as center-nodes dominate the surrounding and even the direction of public opinion throughout whole regions.(4)The numbers of public opinions and pathways of dissemination show asymmetry in East than in west in China during the same period.This research discusses the dissemination and the network geographic spatial characteristics of information in internet from the perspective of Geography.Which expands the content of researching in micro-blog,and provides guidance for public opinion.(5)The internal nodes in the incident area,Shandong Province,by the influence of public opinion in two side regions,mainly to spread of public opinion instead of guiding.However,due to the surrounding public opinion of the high ground radiation,local public opinion information flow spread appears to be minimal among Shandong Province,which leds to not be a good guide to public opinion point of view.?In the information network space,it is found that the gender,authentication status and mass background will affect the structure of the information space.In general,the amount of male participating in the network of public opinion discussion is more than women.The entire users in the groups,the amount of discussion in a day to show Gaussian Distribution,meanwhile the total flow of information presented Power-Law Distribution.In the end of research,this paper proposes solutions to guide the public opinion,and put forward the hypothetical model.