Virtual Network Analysis of Wuhan 1+8 City Circle Based on Sina
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Ying et al. Open Geospatial Data, Software and Standards (2017) 2:2 Open Geospatial Data, DOI 10.1186/s40965-017-0017-4 Software and Standards ORIGINALARTICLE Open Access Virtual network analysis of Wuhan 1+8 City Circle based on Sina microblog user relations Shen Ying1,2,3*, Nuocheng Zhang1, Kai Wang1, Zhigang Zhao3, Zhou Shen1 and Deguo Su4 Abstract Background: In this study, we clustered a large number of microblog users into city nodes based on the interpersonal relations and geographic location attributes of these users and clustered the user relations within each city into the relations among cities in the Wuhan “1+8” City Circle (WCC) to transform and map the interpersonal network in the virtual network environment to an intercity network. Methods: Based on this mapping, we analysed the characteristics proposed two evaluation indicators—degree of city cohesion and degree of city outreach—to quantify the relations within a city and the relations among different cities. The WCC urban network was analysed from a social network perspective, and the differences and similarities in a city’s status between the virtual network and the real world were explored. Results: As the “1” in the “1+8” WCC, Wuhan’s decisive dominance in WCC was discussed from multiple perspectives to show the centre point of the circle and the monopoly status of Wuhan in WCC. This finding is consistent with the status of Wuhan in the actual geographic space as the political, economic and cultural centre of Hubei Province. Our study indicated tiny communication among the other 8 cities along the periphery of WCC in the virtual microblogging network space, with the exception of Wuhan; they closely resembled eight independent individuals. Conclusions: The characteristics of the WCC intercity information exchange indicated that the concept of WCC did not stand out in the virtual microblogging network space and that these cities frequently exchanged information with cities outside WCC. And in WCC the degree of cohesion and outreach in a city node were significantly positively correlated with the economic development level of the city. Keywords: Big data, Microblog user relation, Sina Microblog, Urban network space, Wuhan 1+8 city circle Background (Zhen et.al, [1]). Urban networks have always been the Cities interact and form relations under the influence of focus of urban geography and economic geography stud- resources, industry distribution, information, population ies, such as studies on networks in human settlements and other elements, which form urban network systems (including cities, towns and villages) that are formed by that are affected by various elements. The development transport or logistics transport, such as rail and air and influence of cities have exceeded the scope and transport (Wu et.al, [2]; Xue, [3]). Scholars are increas- limits of these cities themselves, and cities and their key ingly considering information technology as the driving elements are closely connected by information networks, force or factor of urban networks and focus their studies which form diverse global or regional urban networks of urban and regional spatial relations on urban net- works under the influence of informatization (Zhen et.al, * Correspondence: [email protected] [4]). For example, changes in a city’s status in an urban 1School of Resource and Environmental Sciences, Wuhan University, 129 network was analysed at different scales using Internet Luoyu road, Wuhan 430079, China 2Ministry of Education, Key Laboratory of Geographic Information System domain names and Internet Protocol (IP) addresses as (Wuhan University), Wuhan, China indicators (Malecki, [5]; Rutherford et.al, [6]). Malecki Full list of author information is available at the end of the article © The Author(s). 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Ying et al. Open Geospatial Data, Software and Standards (2017) 2:2 Page 2 of 14 [5] and Townsend [7] analysed the network structures of user’s network information relations with his geographic the major cities in the world from the perspectives of location, Wang et al. [28] discovered that network infor- Internet traffic and network bandwidth, respectively. mation space was geographically rooted and manifested as With the continuous development of Internet technol- local information relations dominate in the network ogy, the methods that people utilize to communicate are information space and network information relations undergoing tremendous changes. The increasing rapid showed certain attenuation over distance. Based on the development of social network systems (SNSs) has sig- following relations of SM users, Chen et al. [29] employed nificantly changed human social structure and activity flow analysis to demonstrate that China's urban network patterns. Social networks that are based on certain social information relations had an asymmetric and spatially relations or common interests provide communication polarized structure with “one superpower and many” and service for Internet users who gather online via these observed certain similarities between the urban networks in networks and extend human activities from the physical the information space and the geographical distribution of space to the virtual cyberspace (Kwan, [8]). Thus, social areas with a high density of economic networks and trans- networks have integrated location-based services, which portation networks in the physical space. Chang et al. [30] not only is more convenient for people to exchange clustered the social relations among individuals using users’ information via social networks but also provides more location information on the city scale to construct an inter- methods for geography studies, such as the spatial structure city social relationship network and presented a geographic of intercity information flow in virtual social networks, the backbone network extraction method that combines gravity relation system of urban spaces, spatial interaction mecha- models and information entropy technologies. nisms and urban spatial/temporal relationships. Social net- Based on the users’ geographic location attributes and works are critical for reconstructing and enriching theories an analysis of relations among microblog users, we fo- of urban studies (Li et.al, [9]; Qin et.al, [10]) and can help cused on the node of the network—the city—to analyse social scientists reveal the mapping between the virtual the relation strength within a city and among cities. cyberspace and the actual offline space, which compose the Wuhan 1+8 City Circle (WCC) was employed as an new organizational structure and activity patterns of human example; its urban network characteristics were analysed society (Yu and Shaw, [11]). from the perspective of a virtual social network to As a type of real-time broadcast social network plat- explore the similarities and differences in a city’s pos- form that has rapidly developed and attracted an exten- ition between the virtual network space and reality. sive range of users, microblogs broadcast information by “group” announcement. Thus, a microblog is a more Methods appropriate tool for simulating urban social networks According to the data released by the Sina Microblog under the influence of informatization (Zhen et.al, [4]; (Weibo) Data Centre, as of Dec. 2016 (Sina, [31]), SM Chen et.al, [12]). Due to the unidirectional relations had 297 million active microblog users, almost a quarter among microblog users, users can build a network with of China population. So we selected SM as the research coexisting strong relations and weak relations to satisfy platform and the WCC urban network as the target for their multi-level social needs (Ding et. al, [13]). The our analysis. main directions for microblog data analysis are as fol- lows: topic-event analysis (Ritter et.al, [14]; Yang et.al, SM user relations [15]), sentiment analysis (Bollen et.al, [16]; Thewall et.al, Microblogging can form a complex network of relations [17]), information retrieval and recommendation (Spina via a large number of users and their relationships et.al, [18]; Yao et.al, [19]), user network relation analysis among them. The users can use the network to conduct (Recuero et.al, [20]; Yin et.al, [21]), information dissem- real-time information dissemination and share and ac- ination (Naaman et.al, [22]; Xue et.al, [23]), impact ana- cess information. Microblogging has three features: the lysis (Ding et.al, [24]; Steeg and Galstyan, [25]), and real-time transmission of information, the real-time analysis of intra-urban human mobility (Li et.al, [26]; transmission of concise content and user interactions. T Wu et.al, [27]). Li et al. [9] constructed China’s intercity he three key components of microblogging are as follows geo-social network based on the relations among Sina (Wang et.al, [32]): the users, microblogging content and Microblog (SM) users and revealed that China’s intercity user relations, and the functions of the user relationship social network was substantially imbalanced with signifi- network are reflected in three aspects: sending, for- cant global heterogeneity and local heterogeneity. Zhen warding,