Research and Analysis of Influence Maximization Techniques in Online Network Communities Based on Social Big Data

IF 3.6 3区管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS

Journal of Organizational and End User Computing Pub Date : 2022-06-24 DOI:10.4018/joeuc.308466

J. Hou, Shiyu Chen, Huaqiu Long, Qianmu Li

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引用次数: 0

Abstract

Recent years, many online network communities, such as Facebook, Twitter, Tik Tok, Weibo, etc., have developed rapidly and become the bridge connecting physical social world and virtual cyberspace. Online network communities store a large number of social relationships and interactions between users. How to analyze diffusion of influence from these massive social data has become a research hotspot in the applications of big data mining in online network communities. A core issue in the study of influence diffusion is influence maximization. Influence maximization refers to selecting a few nodes in a social network as seeds, so as to maximize influence spread of seed nodes under a specific diffusion model. Focusing on two core aspects of influence maximization, i.e., models and algorithms, this paper summarizes the main achievements of research on influence maximization in the computer field in recent years. Finally, this paper briefly discusses issues, challenges and future research directions in the research and application of influence maximization.

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基于社交大数据的在线网络社区影响力最大化技术研究与分析

近年来，许多在线网络社区，如Facebook、Twitter、Tik Tok、微博等，发展迅速，成为连接物理社会世界和虚拟网络空间的桥梁。在线网络社区存储了大量用户之间的社会关系和互动。如何从这些海量的社交数据中分析影响力的扩散，已经成为大数据挖掘在在线网络社区应用中的一个研究热点。影响扩散研究的一个核心问题是影响最大化。影响最大化是指在社会网络中选择少数几个节点作为种子，在特定的扩散模型下，使种子节点的影响传播最大化。本文围绕影响最大化的两个核心方面，即模型和算法，总结了近年来计算机领域影响最大化研究的主要成果。最后，简要讨论了影响最大化研究与应用中存在的问题、面临的挑战和未来的研究方向。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Organizational and End User Computing COMPUTER SCIENCE, INFORMATION SYSTEMS-

CiteScore

6.00

自引率

9.20%

发文量

期刊介绍： The Journal of Organizational and End User Computing (JOEUC) provides a forum to information technology educators, researchers, and practitioners to advance the practice and understanding of organizational and end user computing. The journal features a major emphasis on how to increase organizational and end user productivity and performance, and how to achieve organizational strategic and competitive advantage. JOEUC publishes full-length research manuscripts, insightful research and practice notes, and case studies from all areas of organizational and end user computing that are selected after a rigorous blind review by experts in the field.