Budgeted online influence maximization

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August undefined, 2024

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, … http://proceedings.mlr.press/v119/perrault20a.html

[2104.08504] Budgeted Influence and Earned Benefit Maximization …

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. WebDefinition 1. (Budgeted In uence Maximization). Let G= (V;E) be the input graph where each edge e2E is associated with a probability p(e) and each node v2V is associated with a cost c(v). Given a budget Band a cascade model C, the goal of the budgeted in uence maximization is to nd the seed set Sthat gains the largest expected in uence P eventargs c# example

Exploring influence maximization in online and offline double …

WebArticle 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). WebApr 17, 2024 · Suman Banerjee, Bithika Pal Given a social network, where each user is associated with a selection cost, the problem of \textsc {Budgeted Influence … WebNov 21, 2024 · Abstract We introduce a new budgeted framework for online influence maximization, considering the total cost of an advertising campaign instead of the … eventargs does not contain a definition for

Efﬁcient Algorithms for Budgeted Inﬂuence …

Post and repost: A holistic view of budgeted influence …

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 … 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 ... first global gateway virtual terminalWebJul 1, 2024 · This problem is known as the Budgeted Influence Maximization Problem or BIM Problem, in short. Though the problem appears to be realistic one, there are very few studies available in the literature. In this paper, we propose ComBIM, a community-based solution approach for solving the BIM problem. firstglobal capital pty ltd

"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 … " - Budgeted online influence maximization

Budgeted online influence maximization

Multiple Benefit Thresholds Problem in Online Social Networks: …

WebMay 19, 2024 · Song Bian, Qintian Guo, Sibo Wang, and Jeffrey Xu Yu. 2024. Efficient algorithms for budgeted influence maximization on massive social networks. Proceedings of the VLDB Endowment 13, 9 (2024), 1498–1510. ... Yanhao Wang, and Kian-Lee Tan. 2024. Influence maximization on social graphs: A survey.IEEE Transactions on … 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 …

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WebAug 10, 2015 · One way to formalize this objective is through the problem of influence maximization (or IM), whose goal is to find the best seed nodes to activate under a fixed … WebDec 24, 2024 · Influence Maximization is an extensively-studied problem that targets at selecting a set of initial seed nodes in the Online Social Networks (OSNs) to spread the influence as widely as possible.

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 ... WebIn 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 …

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 … 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 …

WebGiven a social network of users with selection cost, the Budgeted Influence Maximization Problem (BIM Problem in short) asks for selecting a subset of the nodes (known as seed nodes) within an ...

WebApr 17, 2024 · To address this issue, in this paper we introduce the \textsc {Tag\mbox {-}Based Budgeted Influence Maximization problem} (\emph {TBIM Problem} in short), where along with the other inputs, a tag ... first global capital partners pty ltdWebMay 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 … first global dataWebNguyen 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 event architectuurWebApr 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 … first global link llcWebInfluence 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. event area floor planWebJul 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 … first global gatewayWebMay 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 … first global capital bankruptcy