IM‐SSO: Maximizing influence in social networks using social spider optimization
Online social networks play a pivotal role in the propagation of information and influence as
in the form of word‐of‐mouth spreading. The influence maximization (IM) problem is a …
in the form of word‐of‐mouth spreading. The influence maximization (IM) problem is a …
LAPSO-IM: A learning-based influence maximization approach for social networks
Online social networks play a pivotal role in the propagation of information and influence as
in the form of word-of-mouth spreading. Influence maximization (IM) is a fundamental …
in the form of word-of-mouth spreading. Influence maximization (IM) is a fundamental …
An efficient path-based approach for influence maximization in social networks
S Kianian, M Rostamnia - Expert Systems with Applications, 2021 - Elsevier
It is no secret that the word-of-mouth has very powerful effect on the social interconnections,
but the question is “which factors influence the word-of-mouth effectiveness?” The answer …
but the question is “which factors influence the word-of-mouth effectiveness?” The answer …
Efficient and effective influence maximization in social networks: a hybrid-approach
Influence Maximization (IM) is the problem of finding a seed set composed of k nodes that
maximize their influence spread over a social network. Kempe et al. showed the problem to …
maximize their influence spread over a social network. Kempe et al. showed the problem to …
Influence maximization in social networks based on discrete particle swarm optimization
Influence maximization in social networks aims to find a small group of individuals, which
have maximal influence cascades. In this study, an optimization model based on a local …
have maximal influence cascades. In this study, an optimization model based on a local …
TsFSIM: A three-step fast selection algorithm for influence maximisation in social network
L Qiu, S Sai, X Tian - Connection Science, 2021 - Taylor & Francis
Influence maximisation is the problem of selecting a specific number of nodes which can
maximise the influence spread of social networks. For its significant practical applications …
maximise the influence spread of social networks. For its significant practical applications …
A pagerank-based heuristic algorithm for influence maximization in the social network
ZL Luo, WD Cai, YJ Li, D Peng - Recent Progress in Data Engineering and …, 2012 - Springer
The influence maximization is the problem of how to find a small subset of nodes (seed
nodes) that could maximize the spread of influence in social network. However, it proved to …
nodes) that could maximize the spread of influence in social network. However, it proved to …
Positive influence maximization in signed social networks under independent cascade model
J Sheng, L Chen, Y Chen, B Li, W Liu - Soft Computing, 2020 - Springer
For existing methods for positive influence maximization in signed networks, two factors
prevent them from getting high-quality results. First, very few researchers consider the critical …
prevent them from getting high-quality results. First, very few researchers consider the critical …
A discrete shuffled frog-leaping algorithm to identify influential nodes for influence maximization in social networks
Influence maximization problem aims to select a subset of k most influential nodes from a
given network such that the spread of influence triggered by the seed set will be maximum …
given network such that the spread of influence triggered by the seed set will be maximum …
Influence maximization in signed social networks
C Shen, R Nishide, I Piumarta, H Takada… - Web Information Systems …, 2015 - Springer
Influence Maximization is the problem of choosing a small set of seed users within a larger
social network in order to maximize the spread of influence under certain diffusion models …
social network in order to maximize the spread of influence under certain diffusion models …