Characteristics of micro-blog inter-city social interactions in China

Li, Qingquan; Chang, Xiaomeng; Shaw, Shih‐Lung; Yan, Ke; Yang, Yue; Chen, Bi Yu

doi:10.3724/sp.j.1249.2013.05441

Cited by 8 publications

(4 citation statements)

References 105 publications

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“…Such connections can be derived using transportation and human travel data (Liu, Andris, and Ratti 2010;Phithakkitnukoon et al 2011), or telecommunications data (Gao et al 2013), but these data are difficult to obtain due to privacy and security concerns. Social media account follower data have therefore been used to analyze topological features and to map the spatial distribution of inter-city social interactions in China (Li et al 2013). Data of this type can also be challenging to work with, because user status updates visible on social media are rarely updated, making it difficult to measure the impact of HSR.…”

Section: Spatial Relatedness In the Big Data Eramentioning

confidence: 99%

Modelling impacts of high-speed rail on urban interaction with social media in China’s mainland

Gong

et al. 2021

Geo-spatial Information Science

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High-Speed Rail (HSR) has increasingly become an important mode of inter-city transportation between large cities. Inter-city interaction facilitated by HSR tends to play a more prominent role in promoting urban and regional economic integration and development. Quantifying the impact of HSR's interaction on cities and people is therefore crucial for long-term urban and regional development planning and policy making. We develop an evaluation framework using toponym information from social media as a proxy to estimate the dynamics of such impact. This paper adopts two types of spatial information: toponyms from social media posts, and the geographical location information embedded in social media posts. The framework highlights the asymmetric nature of social interaction among cities, and proposes a series of metrics to quantify such impact from multiple perspectives -including interaction strength, spatial decay, and channel effect. The results show that HSRs not only greatly expand the uneven distribution of inter-city connections, but also significantly reshape the interactions that occur along HSR routes through the channel effect.

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Section: Spatial Relatedness In the Big Data Eramentioning

confidence: 99%

Modelling impacts of high-speed rail on urban interaction with social media in China’s mainland

Gong

et al. 2021

Geo-spatial Information Science

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“…The Herfindahl-Hirschman index can be used to describe the degree of concentration in the transportation industry and of social interactions in cyberspace [39]. The Herfindahl-Hirschman index was introduced here to analyze the degree of business concentration in each port in a maritime network.…”

Section: Linkage Concentration Indexmentioning

confidence: 99%

Revealing the Linkage Network Dynamic Structures of Chinese Maritime Ports through Automatic Information System Data

Fang

Peng

et al. 2017

Sustainability

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Abstract:Marine economic cooperation has emerged as a major theme in this era of globalization; hence, maritime network connectivity and dynamics have attracted more and more attention. Port construction and maritime route improvements increase maritime trade and thus facilitate economic viability and resource sustainability. This paper reveals the regional dimension of inter-port linkage dynamic structure of Chinese maritime ports from a complex multilayer perspective that is meaningful for strategic forecasting and regional long-term economic development planning. In this research, Automatic Information System (AIS)-derived traffic flows were used to construct a maritime network and subnetworks based on the geographical locations of ports. The linkage intensity between subnetworks, the linkage tightness within subnetworks, the spatial isolation between high-intensity backbones and tight skeleton networks, and a linkage concentration index for each port were calculated. The ports, in turn, were analyzed based on these network attributes. This study analyzed the external competitiveness and internal cohesion of each subnetwork. The results revealed problems in port management and planning, such as unclear divisions in port operations. More critically, weak complementary relationships between the backbone and skeleton networks among the ports reduce connectivity and must be strengthened. This research contributes to the body of work supporting strategic decision-making for future development.

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“…The main directions for microblog data analysis are as follows: topic-event analysis (Ritter et.al, [14]; Yang et.al, [15]), sentiment analysis (Bollen et.al, [16]; Thewall et.al, [17]), information retrieval and recommendation (Spina et.al, [18]; Yao et.al, [19]), user network relation analysis (Recuero et.al,[20]; Yin et.al, [21]), information dissemination (Naaman et.al, [22]; Xue et.al, [23]), impact analysis (Ding et.al, [24]; Steeg and Galstyan, [25]), and analysis of intra-urban human mobility (Li et.al,[26]; Wu et.al, [27]). Li et al [9] constructed China's intercity geo-social network based on the relations among Sina Microblog (SM) users and revealed that China's intercity social network was substantially imbalanced with significant global heterogeneity and local heterogeneity. Zhen et al [4] analysed China's urban network hierarchy from the perspective of the microblog social network space and identified the centre cities of China's urban network and their clustering distribution.…”

Section: Introductionmentioning

confidence: 99%

“…Thus, social networks have integrated location-based services, which not only is more convenient for people to exchange information via social networks but also provides more methods for geography studies, such as the spatial structure of intercity information flow in virtual social networks, the relation system of urban spaces, spatial interaction mechanisms and urban spatial/temporal relationships. Social networks are critical for reconstructing and enriching theories of urban studies (Li et.al, [9]; Qin et.al, [10]) and can help social scientists reveal the mapping between the virtual cyberspace and the actual offline space, which compose the new organizational structure and activity patterns of human society (Yu and Shaw, [11]). …”

Section: Introductionmentioning

confidence: 99%

Virtual network analysis of Wuhan 1+8 City Circle based on Sina microblog user relations

Ying

Nuocheng

Wang

et al. 2017

Open geospatial data, softw. stand.

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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.

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Characteristics of micro-blog inter-city social interactions in China

Cited by 8 publications

References 105 publications

Modelling impacts of high-speed rail on urban interaction with social media in China’s mainland

Modelling impacts of high-speed rail on urban interaction with social media in China’s mainland

Revealing the Linkage Network Dynamic Structures of Chinese Maritime Ports through Automatic Information System Data

Virtual network analysis of Wuhan 1+8 City Circle based on Sina microblog user relations

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