Results 41 to 50 of about 6,507,474 (284)
, 2022 Most research on influence maximization focuses on the network structure features of the diffusion process but lacks the consideration of multi-dimensional characteristics.
Li, Yaqiong +7 more
core +1 more source
Influence Maximization under Fairness Budget Distribution in Online Social Networks
Mathematics, 2022 In social influence analysis, viral marketing, and other fields, the influence maximization problem is a fundamental one with critical applications and has attracted many researchers in the last decades.
Bich-Ngan T. Nguyen +3 more
doaj +1 more source
Scalable Lattice Influence Maximization [PDF]
IEEE Transactions on Computational Social Systems, 2020 Influence maximization is the task of finding k seed nodes in a social network such that the expected number of activated nodes in the network (under certain influence propagation model), referred to as the influence spread, is maximized. Lattice influence maximization (LIM) generalizes influence maximization such that, instead of selecting k seed ...
Wei Chen 0013, Ruihan Wu, Zheng Yu
openaire +3 more sources
Parallel Influence Maximization Algorithms and Their Applications [PDF]
, 2021 Influence Maximization is the problem of identifying a small set of influencers from a social network that, when initially activated, will result in the maximum number of activations over the network.
Minutoli, Marco
core +1 more source
Substitute Seed Nodes Mining Algorithms for Influence Maximization in Multi-Social Networks
Future Internet, 2019 Due to the growing interconnections of social networks, the problem of influence maximization has been extended from a single social network to multiple social networks.
Xuli Rao +3 more
doaj +1 more source
A method to improve influence maximization in social networks based on community detection [PDF]
Network Biology, 2022 With the emergence of social networks, human relationships on the internet have become a new form. Social networks are not only a communication tool for users, but can also be a basis for marketing and advertising products of different companies ...
Mansoureh Abolghasemi, Esmaeil Bagheri
doaj
An Influence maximization algorithm in social network using K-shell decomposition and community detection [PDF]
Network Biology, 2020 The increasing use of services and different applications of social networks has led to a wide range of research and studies in the field of information technology and computer networks towards such networks.
Alighanbari, Esmaeil Bagheri
doaj
Group-Fairness in Influence Maximization [PDF]
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019 Influence maximization is a widely used model for information dissemination in social networks. Recent work has employed such interventions across a wide range of social problems, spanning public health, substance abuse, and international development (to name a few examples).
Alan Tsang +4 more
openaire +3 more sources
Three-hop velocity attenuation propagation model for influence maximization in social networks
, 2020 In the study of influence maximization in social networks, the speed of information dissemination decreases with increasing time and distance. The investigation of the characteristics of information dissemination is of great significance to the ...
Jin, Qun +6 more
core +1 more source
Targeted Influence Maximization Based on Cloud Computing Over Big Data in Social Networks
IEEE Access, 2020 This paper focuses on the targeted influence maximization based on cloud computing in social networks. Most of existing influence maximization works assume that the influence diffusion probabilities on edges are fixed, and identify the Top-k users to ...
Shiyu Chen +4 more
doaj +1 more source