期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：3
页码：6188
DOI：10.15680/IJIRCCE.2017.0503385
出版社：S&S Publications
摘要：The existing system incorporates road network and social network (RSkNN). freelance Cascade (IC)model in social network is applied to define social influence. one amongst the challenge was to hurry up thecomputation of the social influence over giant road and social networks. to deal with this challenge, 3 efficient indexbasedsearch algorithms was projected, i.e. road network-based (RN-based), social network-based (SN-based) andhybrid compartmentalisation algorithms. within the RN-based formula, employs a filtering-and-verification frameworkfor managing the exhausting downside of computing social influence. SN-based formula, engraft social cuts into theindex, thus to hurry up the question. within the hybrid formula, index was projected, summarizing the road and socialnetworks, supported that question answers will be obtained efficiently. In projected system recommendation is givensupported the reviews of trustworthy users.
关键词：KNN query; Social influence; Road Network; Social network
