Influence maximization survey

Author: smai

August undefined, 2024

Web10 aug. 2024 · Experiments show that GLIE provides accurate influence estimation for real graphs up to 10 times larger than the train set. More importantly, it can be used for … Web7 nov. 2024 · This paper aims to provide a survey on the influence maximization problem and focuses on two aspects, influence diffusion models and proposed approaches for influential nodes detection. We start by describing formally the IM problem, then we will provide the state-of-the-art of both diffusion models and influence maximization …

Influence Maximization in Social Networks: A Survey of Behaviour …

Web5 mei 2024 · Abstract: Since its introduction in 2003, the influence maximization (IM) problem has drawn significant research attention in the literature. The aim of IM, which is … Web27 aug. 2024 · Influence maximization is the problem of trying to maximize the number of influenced nodes by selecting optimal seed nodes, given that influencing these nodes is costly. Due to the probabilistic nature of the problem, existing approaches deal with the concept of the expected number of nodes. care now highland village

A survey on influence maximization in a social network

Web1 dag geleden · If tax is a game of sticks and carrots, Engel says, tax departments are tasked with minimizing the sticks of ESG (e.g., new taxes on plastics or carbon), maximizing the carrots (e.g., tax incentives, grants, energy credits), and shaping the narrative about how the company is meeting its commitment to sustainable tax behavior. Web1 dec. 2024 · Influence maximization is most commonly used in social network viral marketing; that is, identifying potential customers for marketing purposes, with the goal of … Web1 aug. 2024 · Influence maximization for opinion formation (IMOF) is an important problem in social networks, which aims to select most influential nodes and obtains the maximal propagation of the most ideal ... brooks women\u0027s black shoes

Influence maximization based on community structure and second …

Social Network Analysis: From Graph Theory to Applications with …

WebThe influence maximization problems of interest are special cases of this general problem class. We show that the submodularity of the influence function can be exploited to develop strong optimality cuts that are more effective than … Web7 jun. 2024 · Influence maximization is the task of selecting a small number of seed nodes in a social network to maximize the influence spread from these seeds. It has been widely investigated in the past two decades. In the canonical setting, the social network and its diffusion parameters are given as input. carenow houston texasWeb16 aug. 2024 · A Survey on Influence Maximization in a Social Network Suman Banerjee, Mamata Jenamani, Dilip Kumar Pratihar Given a social network with diffusion … brooks women\u0027s ghost 14 electric cheetah

"Web15 apr. 2024 · Influence maximization (IM) [249] is one of the fundamental problems in social network analysis where the goal is to find a set of users (seed set) that can be further utilized to maximize the... " - Influence maximization survey

Influence maximization survey

Social Network Analysis: From Graph Theory to Applications with …

Web1 feb. 2024 · Influence maximization has been extensively researched in network science due to its business values. It pertains to selecting some initial influential nodes to spread the information faster and maximize the overall spread of the information in the network. Web18 jan. 2024 · Influence Maximization (IM), which selects a set of k seeds from a network to maximize the expected number of influenced nodes, has been extensively studied due …

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WebInfluence maximization on social graphs: A survey. IEEE Transactions on Knowledge and Data Engineering, Vol. 30, 10 (2024), 1852--1872. Google Scholar Cross Ref; Qi Liu, Biao Xiang, Enhong Chen, Hui Xiong, Fangshuang Tang, and Jeffrey Xu Yu. 2014. Influence maximization over large-scale social networks: A bounded linear approach. Web5 sep. 2024 · (3) Since influence blocking maximization needs to estimate the spreading of both negative and positive influence, influence blocking maximization provides an …

Web20 feb. 2024 · Influence Maximization on Social Graphs: A Survey Abstract: Influence Maximization (IM), which selects a set of k users (called seed set) from a social network to maximize the expected number of influenced users (called influence spread), is … Web16 jan. 2024 · Maximizing the spread of influence through a social network — E. Tardos et al. Efficient influence maximization in social networks — W. Chen et al. Independent Cascade and Linear Threshold Models - P. Shakarian et al. Let’s stay connected! Reach out to me with questions and ideas by mail or Linkedin.

Web1 dec. 2024 · Influence maximization is most commonly used in social network viral marketing; that is, identifying potential customers for marketing purposes, with the goal of minimizing marketing costs and maximizing profits. Web6 nov. 2024 · Influence Maximization (IM) is a classical combinatorial optimization problem, which can be widely used in mobile networks, social computing, and …

Web20 feb. 2024 · Influence Maximization (IM), which selects a set of k users (called seed set) from a social network to maximize the expected number of influenced users (called …

Web15 sep. 2024 · A survey on meta-heuristic algorithms for the influence maximization problem in the social networks Zahra Aghaee, M. Ghasemi, +2 authors A. Fatemi Published 15 September 2024 Computer Science Computing The different communications of users in social networks play a key role in effect to each other. brooks women\u0027s glycerin 14 running shoesWeb19 mei 2024 · A survey on influence maximization in a social network. Knowledge and Information Systems 62, 9 (2024), 3417--3455. Nicola Barbieri, Francesco Bonchi, and Giuseppe Manco. 2012. Topic-aware social influence propagation models. In Proceedings of the 2012 IEEE 12th International Conference on Data Mining. brooks womens casual shoesWeb7 aug. 2024 · Influence Maximization in Social Networks: A Survey of Behaviour-Aware Methods Ahmad Zareie, Rizos Sakellariou Social networks have become an increasingly common abstraction to capture the interactions of individual users in a number of everyday activities and applications. brooks women\u0027s addiction walker walking shoes