Title: Find relationship among applications

Authors: Lei Chen; Chong Wu; Yilan Dai

Addresses: School of Management, Harbin Institute of Technology, Harbin City, Helongjiang Province, 150001, China; International Business Faculty, Beijing Normal University, Zhuhai, Zhuhai City, Guangdong Province, 519087, China ' Harbin Institute of Technology, Harbin City, Helongjiang Province, 150001, China ' International Business Faculty, Beijing Normal University, Zhuhai, Zhuhai City, Guangdong Province, 519087, China

Abstract: Along with extensive use of smart phone, plenty of apps are released to help users. Apps contain many relationships such as one app needs another app to cooperate. This relationship cannot be dug only by user's log or latent contexts. Fortunately, apps seldom appear alone. Almost all the websites allow users to review apps. Apparently, the reviews contain user's viewpoint or judgment. They are consequently useful to dig relationship among apps. Therefore, to dig relationship among apps, this paper proposes an iterative process by combining review similarity and app relationship together. Experimental results demonstrate that, via this iterative process, deep relationship among apps can be dug.

Keywords: iterative process; app relationships; review similarity; networking; smartphones; smartphone apps; user reviews; smartphone applications.

DOI: 10.1504/IJNVO.2015.069300

International Journal of Networking and Virtual Organisations, 2015 Vol.15 No.1, pp.80 - 98

Received: 06 Dec 2014
Accepted: 10 Feb 2015
Published online: 09 May 2015 *

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