Identification of Top-K Influencers Based on Upper Confidence Bound and Local Structure-Reference-Cited by-同舟云学术

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Identification of Top-K Influencers Based on Upper Confidence Bound and Local Structure

Published:2021-07 Issue: Volume:25 Page:100208
ISSN:2214-5796
Container-title:Big Data Research
language:en
Short-container-title:Big Data Research

Author:

Alshahrani Mohammed,Zhu Fuxi,Mekouar Soufiana,Alghamdi Mohammed Yahya^ORCID,Liu Shichao^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Information Systems and Management,Computer Science Applications,Information Systems,Management Information Systems

Reference24 articles.

1. Maximizing the spread of influence through a social network;Kempe,2003

2. Efficient influence maximization in social networks;Chen,2009

3. Cost-effective outbreak detection in networks;Leskovec,2007

4. Celf++: optimizing the greedy algorithm for influence maximization in social networks;Goyal,2011

5. An upper bound based greedy algorithm for mining top-k influential nodes in social networks;Zhou,2014

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. How Influencers Can Leverage Performance in Business;Using Influencer Marketing as a Digital Business Strategy;2023-12-08

2. A novel action decision method of deep reinforcement learning based on a neural network and confidence bound;Applied Intelligence;2023-05-29

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