In this paper, we propose a Trust based Latency aware Influence Maximization model, abbreviated as TLIM, which selects the most influential nodes in social ...
Oct 22, 2024 · Influence maximization is the problem of finding a small set of nodes that maximizes the aggregated influence in social networks.
A dominance approach to influence maximization is studied under the condition, in which, complete information about influence of users on each other is not ...
Jan 12, 2017 · Influence maximization is the problem of finding a small set of nodes that maximizes the aggregated influence in social networks.
People also ask
What is influence maximization in social networks?
What are the different types of influence maximization?
What is an example of influence maximization?
What is influence blocking maximization in social networks under the competitive linear threshold model?
Trust based latency aware influence maximization in social networks. Influence maximization is the problem of finding a small set of nodes that maximizes the ...
Apr 25, 2023 · This paper attempts to cover this gap by reviewing and proposing a taxonomy of such behaviour-aware methods to identify influential users in social networks.
Apr 25, 2023 · A common basis of these approaches is to consider links between users, that is, structural or topological properties of the network. To a lesser ...
Apr 18, 2019 · Mohamadi-Baghmolaei, R, Mozafari N, Hamzeh A (2015) Trust based latency aware influence maximization in social networks. Eng Appl Artif ...
Hamzeh, Trust based latency aware influence maximization in social networks, Engineering Applications of Artificial Intelligence, vol.41, pp.195-206, 2015 ...
In this paper, we define a new problem of the time constrained influence maximization in social networks based on a Latency Aware Independent Cascade model.