A discrete shuffled frog-leaping algorithm to identify influential nodes for influence maximization in social networks

J Tang, R Zhang, P Wang, Z Zhao, L Fan… - Knowledge-Based Systems, 2020 - Elsevier
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 …

A discrete shuffled frog-leaping algorithm to identify influential nodes for influence maximization in social networks

J Tang, R Zhang, P Wang, Z Zhao, L Fan, X Liu - 2020 - ir.lzu.edu.cn
摘要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 …

[PDF][PDF] A discrete shuffled frog-leaping algorithm to identify influential nodes for influence maximization in social networks

J Tang, R Zhang, P Wang, Z Zhao, L Fan… - Knowledge-Based …, 2020 - fardapaper.ir
abstract 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 …

A discrete shuffled frog-leaping algorithm to identify influential nodes for influence maximization in social networks

J Tang, R Zhang, P Wang, Z Zhao, L Fan, X Liu - 2020 - ir.lut.edu.cn
摘要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 …