AVOW 发表于 2025-3-23 13:43:36
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2523-7780 es, space-time, mobility and the internet, social media, big data, behavioral geography and spatio-temporal-network visualization, this book offers a glimpse at the cutting edge of research on human dynamics..978-3-319-89244-3978-3-319-73247-3Series ISSN 2523-7780 Series E-ISSN 2523-7799符合国情 发表于 2025-3-23 19:24:24
Yang Xu,Shih-Lung Shaw,Feng Lu,Jie Chen,Qingquan Li防锈 发表于 2025-3-24 00:44:31
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Utilizing Geo-located Sensors and Social Media for Studying Population Dynamics and Land ClassificaPS locations to characterize human activity patterns and provide inference on land use. Later, we demonstrate the ability of geo-located social media posts to provide insight on population density estimates for special events and Points of Interest detection. The chapter underpins the need to utiliz讥讽 发表于 2025-3-24 09:26:15
Uncovering the Relationships Between Phone Communication Activities and Spatiotemporal Distributionvening (i.e., 07:00–21:30). However, their relationships revealed by the regression models vary greatly throughout a day. Researchers therefore should be cautious when using mobile phone communication activities to quantify certain aspects of urban dynamics. Our regression analyses suggest that thechalice 发表于 2025-3-24 14:10:05
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Uncovering Geo-Social Semantics from the Twitter Mention Network: An Integrated Approach Using Spatemantics, i.e., how the semantics of information vary based on the geographic locations and communication ties among the users. Different from the previous work that examine the geographic variation in the content produced by individuals, the proposed approach focuses on an analysis of reciprocal co