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Budgeted online influence maximization

WebGiven a social network G, a cost associated with each node, and a budget B, the budgeted influence maximization (BIM) problem aims to find a set S of nodes, denoted as the seed set, that maximizes the expected number of influenced users under the constraint that the total cost of the users in S is no larger than B. The current state-of-the-art practical … WebMar 1, 2024 · Given a social network G , a cost associated with each node, and a budget B , the budgeted influence maximization (BIM) problem aims to find a set S of nodes, denoted as the seed set, that ...

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WebMay 1, 2024 · Given a social network where the users are associated with non-uniform selection cost, the problem of Budgeted Influence Maximization (BIM in short) asks for selecting a subset of the nodes within an allocated budget for initial activation, such that due to the cascading effect, influence in the network is maximized.In this paper, we study … WebApr 24, 2024 · We apply CO to a new budgeted variant of the Influence Maximization (IM) semi-bandits with linear generalization of edge weights. Combining CO with the oracle we designed for the offline problem, our online learning algorithm tackles the budget allocation, parameter learning, and reward maximization challenges simultaneously. emergency window glass repair https://boxtoboxradio.com

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WebNov 18, 2024 · In this paper, we introduce the problem named Budgeted Competitive Influence Maximization (\({\mathsf {BCIM}}\)) which takes into account both arbitrary cost for selecting a node in set seed and … WebApr 19, 2012 · Abstract: Given a budget and arbitrary cost for selecting each node, the budgeted influence maximization (BIM) problem concerns selecting a set of seed nodes … WebJun 1, 2024 · In order to develop an optimal strategy to the competitive diffusions of information, a problem named dominated competitive influence maximization (DCIM) is … emergency window

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Budgeted online influence maximization

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WebJul 12, 2024 · This paper introduces a new Online Competitive Influence Maximization problem, where two competing items propagate in the same network and influence … WebJun 1, 2024 · The influence maximization problem has been extensively studied in online social networks [1]. However, the existing works have a common limitation that only the influence propagation in the online social network is considered, while the influence propagation for offline mobile network is overlooked in most cases.

Budgeted online influence maximization

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WebJun 4, 2015 · The budgeted influence maximization problem (BIMP) is a challenging combinatorial stochastic optimization problem defined on social networks. In this problem, the objective is to identify ... WebMar 24, 2024 · The budgeted influence maximization problem is a challenging stochastic optimization problem defined on social networks. In this problem, the objective is …

WebFeb 26, 2024 · In this paper, a novel credit distribution (CD)-based model, termed as the multiaction CD (mCD) model, is introduced to quantify the influence ability of each user, … WebFeb 26, 2024 · Abstract: In a social network, influence maximization is the problem of identifying a set of users that own the maximum influence ability across the network. In this paper, a novel credit distribution (CD)-based model, termed as the multiaction CD (mCD) model, is introduced to quantify the influence ability of each user, which works with …

WebApr 17, 2024 · Given a social network, where each user is associated with a selection cost, the problem of \\textsc{Budgeted Influence Maximization} (\\emph{BIM Problem} in short) asks to choose a subset of them (known as seed users) within an allocated budget whose initial activation leads to the maximum number of influenced nodes. Existing Studies on … WebJul 1, 2024 · 1. Introduction. A social network is an interconnected structure among a group of agents, formed for social interactions (Wasserman & Faust, 1994).One key area of research in the domain of computational social network analysis is the problem of Social Influence Maximization (SIM Problem), which asks for selecting top-k influential users …

WebAug 10, 2015 · We call this problem Online Influence Maximization (OIM), since we learn influence probabilities at the same time we run influence campaigns. To solve OIM, we propose a multiple-trial approach, where (1) some seed nodes are selected based on existing influence information; (2) an influence campaign is started with these seed …

Webby these observations, in this paper, we consider the Holistic Budgeted Influence Maximization (HBIM) problem, which maximizes the influence spread by deploying the … emergency window hammerWebMay 1, 2024 · Influence maximization is an optimization problem in the area of social graph analysis, which asks to choose a subset of k individuals to maximize the number of influenced nodes at the end of the diffusion process.As individuals within a community have frequent contact and are more likely to influence each other, community-based … emergency window breaker and seatbelt cutteremergency window breaker for car