Oct 1, 2019 · The goal of the leader is to maximize the expected number of influenced nodes whereas the follower tries to minimize it. We refer to the problem ...
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Oct 1, 2019 · In this paper, we consider an extension of the well-known Influence Maximization Problem in a social network which deals with finding a set ...
Apr 18, 2019 · In this paper we consider an extension of the well-known Influence Maximization Problem in a social network which deals with finding a set of k ...
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Sep 21, 2022 · We study the problem of influence maximization in a closed social network. It aims to recommend users (not just the seed users) a limited number of existing ...
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Aug 27, 2021 · Influence maximization is the problem of trying to maximize the number of influenced nodes by selecting optimal seed nodes, ...
Jul 19, 2023 · This paper highlights the potential advantages of combining heuristic computing and role embedding to solve IM problems. First, the method ...
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We will first look at two classical cascade models. Then, we will develop a method to find the most influential node set in the Independent Cascade Model.
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.
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Jun 8, 2023 · Influence Maximization (IM) models in social networks are used to find the most influential nodes present in the network to evaluate the ...
For influence maximization, we focus on maximizing the expect number of positive nodes in the network after the cascade, which we refer to as positive influence ...