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Titlebook: Cities as Spatial and Social Networks; Xinyue Ye,Xingjian Liu Book 2019 Springer International Publishing AG, part of Springer Nature 2019

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發(fā)表于 2025-3-21 18:03:06 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Cities as Spatial and Social Networks
編輯Xinyue Ye,Xingjian Liu
視頻videohttp://file.papertrans.cn/227/226691/226691.mp4
概述Explores the use of new data sources concerning urban dynamics.Brings together scholars from different urban fields.Examines both the spatial and social dimension of urban networks
叢書(shū)名稱Human Dynamics in Smart Cities
圖書(shū)封面Titlebook: Cities as Spatial and Social Networks;  Xinyue Ye,Xingjian Liu Book 2019 Springer International Publishing AG, part of Springer Nature 2019
描述.This book reports on the latest, cutting-edge scholarship on integrating social network and spatial analyses in the built environment.? It sheds light on conceptualization and Implementation of such integration, integration for intra-city level analysis, as well as integration for inter-city level analysis. It explores the use of new data sources concerning human and?urban dynamics and provides a discussion of how social network and spatial analyses could be synthesized for a more nuanced understanding of the built environment.? As such this book will be a valuable resource for scholars focusing on city-related networks in a number of ‘urban’ disciplines, including but not limited to urban?geography,?urban?informatics,??urban planning,?urban sociology, and?urban studies..
出版日期Book 2019
關(guān)鍵詞Spatial Networks; Urban Networks; Social Networks; City Networks; Urban Studies; Urban Dynamics and Plann
版次1
doihttps://doi.org/10.1007/978-3-319-95351-9
isbn_softcover978-3-030-07020-5
isbn_ebook978-3-319-95351-9Series ISSN 2523-7780 Series E-ISSN 2523-7799
issn_series 2523-7780
copyrightSpringer International Publishing AG, part of Springer Nature 2019
The information of publication is updating

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https://doi.org/10.1007/978-3-642-27645-3ns of spatial, social, and semantic domains are widely observed, the deeper theoretical integration of geography, social network, and semantic spaces, as well as the corresponding research challenges, is not yet sufficient for a comprehensive understanding of urban systems. In order to address this
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Sample Complexity Bounds of Explorationrmalize these arguments, a set of quadratic integer optimization programs based on O’Kelly are developed and linearized under a heuristic strategy, which utilizes the binary nature of the 0–1 integer decision variables.
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https://doi.org/10.1007/978-3-662-61651-2mmunity-based approaches. This research project was designed as a case study of urban farmers facing land development pressures in Delhi, India. The objective was to measure social and spatial aspects of household social networks and investigate if households with similar social networks also had si
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