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Measuring Geospatial Properties: Relating Online Content Browsing Behaviors to Users’ Points of Interest.

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Title: Measuring Geospatial Properties: Relating Online Content Browsing Behaviors to Users’ Points of Interest.
Authors: Lv, Qiujian1 lvqiujian@bupt.edu.cn, Qiao, Yuanyuan2 yyqiao@bupt.edu.cn, Zhang, Yi2 yi_zhang@bupt.edu.cn, Abdesslem, Fehmi Ben3 fehmi@sics.se, Lin, Wenhui4 linwenhui@aisino.com, Yang, Jie2 janeyang@bupt.edu.cn
Source: Wireless Personal Communications. Aug2018, Vol. 101 Issue 3, p1469-1498. 30p.
Subjects: Wireless Internet software, Internet users, Geospatial data, Online identities, Wireless Internet, Computer software, Psychology
Abstract: With the growth of the Mobile Internet, people have become active in both the online and offline worlds. Investigating the relationships between users’ online and offline behaviors is critical for personalization and content caching, as well as improving urban planning. Although some studies have measured the spatial properties of online social relationships, there have been few in-depth investigations of the relationships between users’ online content browsing behaviors and their real-life locations. This paper provides the first insight into the geospatial properties of online content browsing behaviors from the perspectives of both geographical regions and individual users. We first analyze the online browsing patterns across geographical regions. Then, a multilayer-network-based model is presented to discover how inter-user distances affect the distributions of users with similar online browsing interests. Drawing upon results from a comprehensive study of users of three popular online content services in a metropolitan city in China, we achieve a broad understanding of the general and specific geospatial properties of users’ various preferences. Specifically, users with similar online browsing interests exhibit, to a large extent, strong geographic correlations, and different services exhibit distinct geospatial properties in terms of their usage patterns. The results of this work can potentially be exploited to improve a vast number of applications. [ABSTRACT FROM AUTHOR]
Copyright of Wireless Personal Communications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Measuring Geospatial Properties: Relating Online Content Browsing Behaviors to Users’ Points of Interest.
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  Data: <searchLink fieldCode="AR" term="%22Lv%2C+Qiujian%22">Lv, Qiujian</searchLink><relatesTo>1</relatesTo><i> lvqiujian@bupt.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Qiao%2C+Yuanyuan%22">Qiao, Yuanyuan</searchLink><relatesTo>2</relatesTo><i> yyqiao@bupt.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Yi%22">Zhang, Yi</searchLink><relatesTo>2</relatesTo><i> yi_zhang@bupt.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Abdesslem%2C+Fehmi+Ben%22">Abdesslem, Fehmi Ben</searchLink><relatesTo>3</relatesTo><i> fehmi@sics.se</i><br /><searchLink fieldCode="AR" term="%22Lin%2C+Wenhui%22">Lin, Wenhui</searchLink><relatesTo>4</relatesTo><i> linwenhui@aisino.com</i><br /><searchLink fieldCode="AR" term="%22Yang%2C+Jie%22">Yang, Jie</searchLink><relatesTo>2</relatesTo><i> janeyang@bupt.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Wireless+Personal+Communications%22">Wireless Personal Communications</searchLink>. Aug2018, Vol. 101 Issue 3, p1469-1498. 30p.
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  Data: <searchLink fieldCode="DE" term="%22Wireless+Internet+software%22">Wireless Internet software</searchLink><br /><searchLink fieldCode="DE" term="%22Internet+users%22">Internet users</searchLink><br /><searchLink fieldCode="DE" term="%22Geospatial+data%22">Geospatial data</searchLink><br /><searchLink fieldCode="DE" term="%22Online+identities%22">Online identities</searchLink><br /><searchLink fieldCode="DE" term="%22Wireless+Internet%22">Wireless Internet</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software%22">Computer software</searchLink><br /><searchLink fieldCode="DE" term="%22Psychology%22">Psychology</searchLink>
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  Data: With the growth of the Mobile Internet, people have become active in both the online and offline worlds. Investigating the relationships between users’ online and offline behaviors is critical for personalization and content caching, as well as improving urban planning. Although some studies have measured the spatial properties of online social relationships, there have been few in-depth investigations of the relationships between users’ online content browsing behaviors and their real-life locations. This paper provides the first insight into the geospatial properties of online content browsing behaviors from the perspectives of both geographical regions and individual users. We first analyze the online browsing patterns across geographical regions. Then, a multilayer-network-based model is presented to discover how inter-user distances affect the distributions of users with similar online browsing interests. Drawing upon results from a comprehensive study of users of three popular online content services in a metropolitan city in China, we achieve a broad understanding of the general and specific geospatial properties of users’ various preferences. Specifically, users with similar online browsing interests exhibit, to a large extent, strong geographic correlations, and different services exhibit distinct geospatial properties in terms of their usage patterns. The results of this work can potentially be exploited to improve a vast number of applications. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Wireless Personal Communications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s11277-018-5773-7
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              Text: Aug2018
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