中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Geo-Conquesting Based on Graph Analysis for Crowdsourced Metatrails from Mobile Sensing

文献类型:期刊论文

作者Chen, Bo-Wei2; Ji, Wen3; Rho, Seungmin1
刊名IEEE COMMUNICATIONS MAGAZINE
出版日期2017
卷号55期号:1页码:92-97
ISSN号0163-6804
DOI10.1109/MCOM.2017.1600223CM
英文摘要This article investigates graph analysis for intelligent marketing in smart cities, where metatrails are crowdsourced by mobile sensing for marketing strategies. Unlike most works that focus on client sides, this study is intended for market planning, from the perspective of enterprises. Several novel crowdsourced features based on metatrails, including hotspot networks, crowd transitions, affinity subnetworks, and sequential visiting patterns, are discussed in the article. These smart footprints can reflect crowd preferences and the topology of a site of interest. Marketers can utilize such information for commercial resource planning and deployment. Simulations were conducted to demonstrate the performance. At the end, this study also discusses different scenarios for practical geo-conquesting applications.
WOS研究方向Engineering ; Telecommunications
语种英语
WOS记录号WOS:000394680300014
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
源URL[http://119.78.100.204/handle/2XEOYT63/7475]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Chen, Bo-Wei
作者单位1.Sungkyul Univ, Dept Media Software, Anyang, South Korea
2.Monash Univ, Sch Informat Technol, Clayton, Vic 3800, Australia
3.Chinese Acad Sci, Inst Comp Technol, Beijing 100864, Peoples R China
推荐引用方式
GB/T 7714
Chen, Bo-Wei,Ji, Wen,Rho, Seungmin. Geo-Conquesting Based on Graph Analysis for Crowdsourced Metatrails from Mobile Sensing[J]. IEEE COMMUNICATIONS MAGAZINE,2017,55(1):92-97.
APA Chen, Bo-Wei,Ji, Wen,&Rho, Seungmin.(2017).Geo-Conquesting Based on Graph Analysis for Crowdsourced Metatrails from Mobile Sensing.IEEE COMMUNICATIONS MAGAZINE,55(1),92-97.
MLA Chen, Bo-Wei,et al."Geo-Conquesting Based on Graph Analysis for Crowdsourced Metatrails from Mobile Sensing".IEEE COMMUNICATIONS MAGAZINE 55.1(2017):92-97.

入库方式: OAI收割

来源:计算技术研究所

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