Community-based influence maximization for viral marketing
Sign Up to like & getrecommendations! Published in 2018 at "Applied Intelligence"
DOI: 10.1007/s10489-018-1387-8
Abstract: Derived from the idea of word-to-mouth advertising and with applying information diffusion theory, viral marketing attracts wide research interests because of its business value. As an effective marketing strategy, viral marketing is to select a… read more here.
Keywords: community based; community; influence maximization; viral marketing ... See more keywords
KATZ centrality with biogeography-based optimization for influence maximization problem
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Combinatorial Optimization"
DOI: 10.1007/s10878-020-00580-6
Abstract: In the field of social networks, the Influence Maximization Problem (IMP) is one of the most well-known issues that have attracted many researchers in recent years. Influence Maximization (IM) means trying to find the best… read more here.
Keywords: katz centrality; problem; centrality; influence maximization ... See more keywords
A Weighted Maximum Matching Algorithm for Influence Maximization and Structural Controllability
Sign Up to like & getrecommendations! Published in 2017 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2017.08.2288
Abstract: Abstract Structural control and influence maximization on networks both admit the problem of selecting a particular subset of nodes. In structural control, the subset of nodes should guarantee the controllability of the network (in the… read more here.
Keywords: structural controllability; structural control; influence maximization; influence ... See more keywords
On the influence maximization problem and the percolation phase transition
Sign Up to like & getrecommendations! Published in 2021 at "Physica A: Statistical Mechanics and its Applications"
DOI: 10.1016/j.physa.2021.125928
Abstract: Abstract We analyze the problem of network influence maximization in the uniform independent cascade model: Given a network with N nodes and a probability p for a node to contaminate a neighbor, find a set… read more here.
Keywords: influence maximization; maximization problem; problem; problem percolation ... See more keywords
An adaptive heuristic clustering algorithm for influence maximization in complex networks.
Sign Up to like & getrecommendations! Published in 2020 at "Chaos"
DOI: 10.1063/1.5140646
Abstract: Influence maximization research in the real world allows us to better understand, accelerate spreading processes for innovations and products, and effectively analyze, predict, and control the spread of diseases, rumors, and computer viruses. In this… read more here.
Keywords: adaptive heuristic; clustering algorithm; influence maximization; heuristic clustering ... See more keywords
Effective submodularity of influence maximization on temporal networks
Sign Up to like & getrecommendations! Published in 2022 at "Physical review. E"
DOI: 10.1103/physreve.106.034301
Abstract: We study influence maximization on temporal networks. This is a special setting where the influence function is not submodular, and there is no optimality guarantee for solutions achieved via greedy optimization. We perform an exhaustive… read more here.
Keywords: function; influence maximization; influence; temporal networks ... See more keywords
A New Structure-Hole-Based Algorithm For Influence Maximization in Large Online Social Networks
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Access"
DOI: 10.1109/access.2017.2758353
Abstract: The problem of influence maximization (IM) in a social network is to determine a set of nodes that could maximize the spread of influence. The IM problem has been vitally applied to marketing, advertising, and… read more here.
Keywords: influence maximization; hole; structure hole; structure ... See more keywords
Fast Budgeted Influence Maximization Over Multi-Action Event Logs
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2809547
Abstract: In a social network, influence maximization is the problem of identifying a set of users that own the maximum influence ability across the network. In this paper, a novel credit distribution (CD)-based model, termed as… read more here.
Keywords: streaming algorithm; influence maximization; mcd model; influence ... See more keywords
Identifying Influential Individuals on Large-Scale Social Networks: A Community Based Approach
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2866981
Abstract: Identifying a small subset of influential individuals on social networks can bring great benefits for many practical applications like viral marketing. This issue is typically formulated as the influence maximization problem. As a fundamental research… read more here.
Keywords: community based; community; influence maximization; influential individuals ... See more keywords
A Novel Nested Q-Learning Method to Tackle Time-Constrained Competitive Influence Maximization
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2018.2888895
Abstract: Time plays a critical role in competitive influence maximization. Companies aim to promote their products before certain events, such as Christmas Eve or music concerts, to gain more benefit under competitions from other companies. Besides,… read more here.
Keywords: influence maximization; competitive influence; time; seed ... See more keywords
TSIM: A Two-Stage Selection Algorithm for Influence Maximization in Social Networks
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2966056
Abstract: The influence maximization problem is aimed at finding a small subset of nodes in a social./network to maximize the expected number of nodes influenced by these nodes. Influence maximization plays an important role in viral… read more here.
Keywords: influence; social networks; maximization social; influence maximization ... See more keywords