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      Study of Urban System Spatial Interaction Based on Microblog Data: A Case of Huaihe River Basin, China

      1 , 2 , 3 , 4 , 1 , 1

      Scientific Programming

      Hindawi Limited

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          Abstract

          The spatial interaction of urban system has been an hot research issue in the field of urban research. In this paper, user’s microblog spatial information data were used to discern the spatial structure of an urban area. Firstly, Sina Weibo microblog data for 2011–2015 were used to establish a thematic database of cities along the Huaihe River Basin, China. Secondly, network connectivity, inflow, and outflow of three indicator systems were analyzed. Finally, combining this database with socioeconomic data, experimental verification and comparative analysis were carried out. The study found that the urban spatial relation in the Huaihe River Basin has the following characteristics: the spatial difference of urban size distribution is obvious; urban layout presents a stratified aggregation phenomenon; and the high-grade cities lead the city’s interaction. The research shows that this method of data mining for urban interaction in the Huaihe River Basin is valid and that this research into urban spatial patterns of river basins is applicable to other areas.

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          Most cited references 21

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          The Geography of Happiness: Connecting Twitter sentiment and expression, demographics, and objective characteristics of place

          We conduct a detailed investigation of correlations between real-time expressions of individuals made across the United States and a wide range of emotional, geographic, demographic, and health characteristics. We do so by combining (1) a massive, geo-tagged data set comprising over 80 million words generated over the course of several recent years on the social network service Twitter and (2) annually-surveyed characteristics of all 50 states and close to 400 urban populations. Among many results, we generate taxonomies of states and cities based on their similarities in word use; estimate the happiness levels of states and cities; correlate highly-resolved demographic characteristics with happiness levels; and connect word choice and message length with urban characteristics such as education levels and obesity rates. Our results show how social media may potentially be used to estimate real-time levels and changes in population-level measures such as obesity rates.
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            Geography of Twitter networks

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              Geographic information science: emerging research on the societal implications of the geospatial web

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                Author and article information

                Journal
                Scientific Programming
                Scientific Programming
                Hindawi Limited
                1058-9244
                1875-919X
                February 05 2019
                February 05 2019
                : 2019
                : 1-9
                Affiliations
                [1 ]Research Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen, China
                [2 ]College of Geographic Sciences, Xinyang Normal University, Xinyang, China
                [3 ]Navinfo (Xi’an) Co. Ltd., Xi’an, China
                [4 ]School of Resource and Environmental Sciences, Wuhan University, Wuhan, China
                Article
                10.1155/2019/2074329
                © 2019

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