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Reseach Article

A Greedy Algorithm Approach for Mobile Social Network

by Smita Bhosale, Dhanshree Kulkarni
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 111 - Number 16
Year of Publication: 2015
Authors: Smita Bhosale, Dhanshree Kulkarni
10.5120/19619-1139

Smita Bhosale, Dhanshree Kulkarni . A Greedy Algorithm Approach for Mobile Social Network. International Journal of Computer Applications. 111, 16 ( February 2015), 1-3. DOI=10.5120/19619-1139

@article{ 10.5120/19619-1139,
author = { Smita Bhosale, Dhanshree Kulkarni },
title = { A Greedy Algorithm Approach for Mobile Social Network },
journal = { International Journal of Computer Applications },
issue_date = { February 2015 },
volume = { 111 },
number = { 16 },
month = { February },
year = { 2015 },
issn = { 0975-8887 },
pages = { 1-3 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume111/number16/19619-1139/ },
doi = { 10.5120/19619-1139 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:48:02.078959+05:30
%A Smita Bhosale
%A Dhanshree Kulkarni
%T A Greedy Algorithm Approach for Mobile Social Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 111
%N 16
%P 1-3
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the proliferation of mobile devices and wireless technologies, mobile social network systems used more. A mobile social network has important role in social network. The Process of ?nding in?uential nodes is NP-hard. Greedy rule with demonstrable approximation guarantees will provide smart approximation. A divide-and-conquer method with parallel computing mechanism has been used. Community-based Greedy rule for mining top-K in?uential nodes is used first. It has two parts: dividing the large- scale mobile social network into many communities by taking under consideration data diffusion. Communities select in?uential nodes by a dynamic programming. Performance is to be increased by considering the in?uence propagation supported communities and take into account the in?uence propagation crossing communities. Experiments on real large-scale mobile social networks show that the proposed algorithm is quicker than previous algorithms.

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Index Terms

Computer Science
Information Sciences

Keywords

PCA - Parallelized Community-based Algorithm