Viral Marketing for Smart Cities: Influencers in Social Network Communities

被引:11
作者
Kaple, Madhura [1 ]
Kulkarni, Ketki [1 ]
Potika, Katerina [1 ]
机构
[1] San Jose State Univ, Dept Comp Sci, San Jose, CA 95192 USA
来源
2017 THIRD IEEE INTERNATIONAL CONFERENCE ON BIG DATA COMPUTING SERVICE AND APPLICATIONS (IEEE BIGDATASERVICE 2017) | 2017年
关键词
smart city; social network; community detection; influential;
D O I
10.1109/BigDataService.2017.46
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Social networks are used by cities primarily for announcing local-area events, but also for increasing engagement of citizens in votes and elections. Given the current plethora of heterogeneous social networks, city administrators can benefit from social networks to promote initiatives, which are important to a current smart city as well use them to discover future needs in order to manage resources more efficiently. Our focus in this paper is how we can adapt commercial and viral marketing techniques to smart city systems to influence the behavior, opinion and choices of citizens in order to improve their well being and that of the whole society as well as predicting future trends and events.
引用
收藏
页码:106 / 111
页数:6
相关论文
共 28 条
[1]  
[Anonymous], 2011, P 20 INT C COMP WORL
[2]   Fast unfolding of communities in large networks [J].
Blondel, Vincent D. ;
Guillaume, Jean-Loup ;
Lambiotte, Renaud ;
Lefebvre, Etienne .
JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, 2008,
[3]   Efficient Influence Maximization in Social Networks [J].
Chen, Wei ;
Wang, Yajun ;
Yang, Siyu .
KDD-09: 15TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, 2009, :199-207
[4]  
Chourabi H., 2012, 2012 45th Hawaii International Conference on System Sciences (HICSS), P2289, DOI 10.1109/HICSS.2012.615
[5]  
Clauset A, 2004, PHYS REV E, V70, DOI 10.1103/PhysRevE.70.066111
[6]  
De Meo P., 2011, Proceedings of the 2011 11th International Conference on Intelligent Systems Design and Applications (ISDA), P88, DOI 10.1109/ISDA.2011.6121636
[7]  
Easley D., 2010, Networks, Crowds, and Markets: Reasoning about a Highly Connected World
[8]   Threshold-Bounded Influence Dominating Sets for Recommendations in Social Networks [J].
Eirinaki, Magdalini ;
Moniz, Nuno ;
Potika, Katerina .
PROCEEDINGS OF 2016 IEEE INTERNATIONAL CONFERENCES ON BIG DATA AND CLOUD COMPUTING (BDCLOUD 2016) SOCIAL COMPUTING AND NETWORKING (SOCIALCOM 2016) SUSTAINABLE COMPUTING AND COMMUNICATIONS (SUSTAINCOM 2016) (BDCLOUD-SOCIALCOM-SUSTAINCOM 2016), 2016, :408-415
[9]  
ERDOS P, 1960, B INT STATIST INST, V38, P343
[10]   Community detection in graphs [J].
Fortunato, Santo .
PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS, 2010, 486 (3-5) :75-174