Budgeted online influence maximization

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August undefined, 2024

WebWe introduce a new budgeted framework for online influence maximization, considering the total cost of an advertising campaign instead of the common cardinality constraint on a chosen influencer set. Our approach models better the realworld setting where the cost … WebJul 13, 2024 · We introduce a new budgeted framework for online influence maximization, considering the total cost of an advertising campaign instead of the …

On Budgeted Influence Maximization in Social Networks

WebDec 4, 2024 · Abstract. Stimulated by practical applications arising from viral marketing. This paper investigates a novel Budgeted k -Submodular Maximization problem defined as follows: Given a finite set V, a budget B and a k -submodular function f: (k+1)^V \mapsto \mathbb {R}_+, the problem asks to find a solution \mathbf {s }= (S_1, S_2, \ldots , S_k ... 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 … carbs in rice crispy treat

Budgeted Competitive Influence Maximization on Online ... - Spring…

WebDec 30, 2014 · Mobile crowd sensing (MCS) is a new paradigm that takes advantage of pervasive mobile devices to efficiently collect data, enabling numerous novel … WebNguyen H， Zheng R. On budgeted influence maximization in social networks. IEEE Journal on Selected Areas in Communications ， 2013 ， 31 (6)：1084-1094. 2: Cheng J J， Yang K， Yang Z Y，et al. Influence maximization based on community structure and second?hop neighborhoods. Applied Intelligence ， 2024 ， 52 (10)：10829-10844. 3 WebMar 24, 2024 · The budgeted influence maximization problem is a challenging stochastic optimization problem defined on social networks. In this problem, the objective is … brock university online degree

Budgeted Online Influence Maximization - DeepMind

Fast Budgeted Influence Maximization Over Multi-Action Event …

WebAn important problem in the context of viral marketing in social networks is the Influence Threshold (IT) problem, which aims at finding some users (referred to as a seed set) to begin the process of disseminating their product’s information so that the benefit gained exceeds a predetermined threshold. Even though, marketing strategies exhibit different … WebApr 21, 2024 · Inspired by these observations, in this paper, we consider the Holistic Budgeted Influence Maximization (HBIM) problem, which maximizes the influence … carbs in richmond sausagesWebNov 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 … brock university msc in computer science

"Webby these observations, in this paper, we consider the Holistic Budgeted Inﬂuence Maximization (HBIM) problem, which maximizes the inﬂuence spread by deploying the … " - Budgeted online influence maximization

Budgeted online influence maximization

WebInfluence Maximization and Learning papers (not updated since 1/2024) *Image from Ding Zhu-Du. A list of influence maximization and influence learning papers, organized based on the type of data they rely on, their aim and their constraints: Static network. Time constraint. Location constraint. 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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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.

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 … WebMay 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 …

WebMay 17, 2013 · On Budgeted Influence Maximization in Social Networks. Abstract: Given a fixed budget and an arbitrary cost for selecting each node, the budgeted influence …

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 …

WebOct 15, 2024 · Banerjee, et al. [17] proposed a community-based approach for the problem of Budgeted Influence Maximization (com-BIM). Show abstract. The detection of top influential users in social networks is considered one of the current vital research field. The spreading of the information in social networks can be analyzed and sometimes … brock university online directoryWebIn this paper, we deﬁne the budgeted OIM paradigm and propose a performance metric for an online policy on this problem using the notion of approximation regret (Chen et … brock university one driveWebGiven 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 … brock university online learningWebJan 3, 2024 · Indeed, data from Influencer Marketing Hub supports this, showing how influencer prices on Instagram vary according to categories: Nano-influencers: … brock university ontario biology day 2023WebFeb 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, … carbs in rice wine vinegarWebMay 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 … carbs in roasted chicken thighWebArticle studieshistory: maximization Received 22 May 2024 Revised 26 January 2024 Accepted 8 February 2024 Available online 12 February 2024 Communicated by Dr. Guan Ziyu Keywords: Inﬂuence maximization Budget constraint Seed&boost node a b s t r a c t Existing (IM) focuson oninﬂuence activating setofmainly inﬂuential (seed a users nodes). carbs in ricola sugar free cough drops