Journal ArticleDOI
Influence maximization in social networks based on discrete particle swarm optimization
Reads0
Chats0
TLDR
In this study, an optimization model based on a local influence criterion is established for the influence maximization problem and a discrete particle swarm optimization algorithm is proposed to optimize theLocal influence criterion.About:
This article is published in Information Sciences.The article was published on 2016-11-01. It has received 173 citations till now. The article focuses on the topics: Entropy maximization & Multi-swarm optimization.read more
Citations
More filters
Journal ArticleDOI
Particle Swarm Optimization: A survey of historical and recent developments with hybridization perspectives
TL;DR: Particle swarm optimization (PSO) is a metaheuristic global optimization paradigm that has gained prominence in the last two decades due to its ease of application in unsupervised, complex multidimensional problems which cannot be solved using traditional deterministic algorithms as discussed by the authors.
Journal ArticleDOI
Major Advances in Particle Swarm Optimization: Theory, Analysis, and Application
TL;DR: A rigorous yet systematic review is presented to organize and summarize the information on the PSO algorithm and the developments and trends of its most basic as well as of some of the very notable implementations that have been introduced recently, bearing in mind the coverage of paradigm, theory, hybridization, parallelization, complex optimization, and the diverse applications of the algorithm.
Journal ArticleDOI
Particle Swarm Optimization: A survey of historical and recent developments with hybridization perspectives
TL;DR: Particle swarm optimization (PSO) is a metaheuristic global optimization paradigm that has gained prominence in the last two decades due to its ease of application in unsupervised, complex multidimensional problems that cannot be solved using traditional deterministic algorithms as discussed by the authors.
Journal Article
Catastrophic cascade of failures in interdependent networks
TL;DR: This work develops a framework for understanding the robustness of interacting networks subject to cascading failures and presents exact analytical solutions for the critical fraction of nodes that, on removal, will lead to a failure cascade and to a complete fragmentation of two interdependent networks.
Journal ArticleDOI
A new global particle swarm optimization for the economic emission dispatch with or without transmission losses
TL;DR: Experimental results show that NGPSO is the most efficient approach on solving the single objective optimization ( fuel cost or emission minimization) and multi-objective optimization (fuel cost and emission minimizations) problems.
References
More filters
Journal ArticleDOI
A Simple Sequentially Rejective Multiple Test Procedure
TL;DR: In this paper, a simple and widely accepted multiple test procedure of the sequentially rejective type is presented, i.e. hypotheses are rejected one at a time until no further rejections can be done.
Journal ArticleDOI
The anatomy of a large-scale hypertextual Web search engine
Sergey Brin,Lawrence Page +1 more
TL;DR: This paper provides an in-depth description of Google, a prototype of a large-scale search engine which makes heavy use of the structure present in hypertext and looks at the problem of how to effectively deal with uncontrolled hypertext collections where anyone can publish anything they want.
Proceedings ArticleDOI
A new optimizer using particle swarm theory
TL;DR: The optimization of nonlinear functions using particle swarm methodology is described and implementations of two paradigms are discussed and compared, including a recently developed locally oriented paradigm.
Journal Article
The Anatomy of a Large-Scale Hypertextual Web Search Engine.
Sergey Brin,Lawrence Page +1 more
TL;DR: Google as discussed by the authors is a prototype of a large-scale search engine which makes heavy use of the structure present in hypertext and is designed to crawl and index the Web efficiently and produce much more satisfying search results than existing systems.
Journal ArticleDOI
Modularity and community structure in networks
TL;DR: In this article, the modularity of a network is expressed in terms of the eigenvectors of a characteristic matrix for the network, which is then used for community detection.