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Business location selection based on geo-social networks

conference contribution
posted on 2020-01-01, 00:00 authored by Q Zeng, M Zhong, Y Zhu, Jianxin LiJianxin Li
© 2020, Springer Nature Switzerland AG. Location has a great impact on the success of many businesses. The existing works typically utilize the number of customers who are the Reverse Nearest Neighbors (RNN) of a business location to assess its goodness. While, with the prevalence of word-of-mouth marketing in social networks, a business can now exploit the social influence to attract enormous customers to visit it, even though it is not located in the popular but unaffordable business districts with the most RNNs. In this paper, we propose a novel Business Location Selection (BLS) approach to integrate the factors of both social influence and geographical distance. Firstly, we formally define a BLS model based on relative distance aware influence maximization in geo-social networks, where the goodness of a location is assessed by the maximum number of social network users it can influence via online propagation. To the best of our knowledge, it is the first BLS model that adopts the influence maximization techniques. Then, to speed up the selection, we present two sophisticated candidate location pruning strategies, and extend the Reverse Influence Sampling (RIS) algorithm to select seeds for multiple locations, thereby avoiding redundant computation. Lastly, we demonstrate the effectiveness and efficiency of our approach by conducting the experiments on three real geo-social networks.

History

Volume

12114

Pagination

36-52

Location

Jeju, South Korea

Start date

2020-09-24

End date

2020-09-27

ISSN

0302-9743

eISSN

1611-3349

ISBN-13

9783030594183

Language

eng

Publication classification

E1 Full written paper - refereed

Editor/Contributor(s)

Nah Y, Cui B, Lee SW, Yu JX, Moon YS, Whang SE

Title of proceedings

DASFAA 2020 : Proceedings of the 25th International Conference on Database Systems for Advanced Applications

Event

Database Systems for Advanced Applications. Conference (25th : 2020 : Jeju, South Korea)

Publisher

Springer

Place of publication

Cham, Switzerland

Series

Database Systems for Advanced Applications Conference

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