Editorial: Big Data Analytics in Complex Social Information Networks

IF 7.5 3区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

IEEE Transactions on Big Data Pub Date : 2025-07-10 DOI:10.1109/TBDATA.2024.3485316

Desheng Dash Wu;David L. Olson

引用次数: 0

Abstract

This special issue deals with research related to applications of and methods to support Big Data analytics in complex social information networks. The digital age and the rise of social media have sped up changes to social systems with unforeseen consequences. However, there are major challenges created.

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社论：复杂社会信息网络中的大数据分析

本期特刊讨论了在复杂的社会信息网络中支持大数据分析的应用和方法。数字时代和社交媒体的兴起加速了社会体系的变革，带来了不可预见的后果。然而，也产生了重大挑战。

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

IEEE Transactions on Big Data Multiple-

CiteScore

11.80

自引率

2.80%

发文量

114

期刊介绍： The IEEE Transactions on Big Data publishes peer-reviewed articles focusing on big data. These articles present innovative research ideas and application results across disciplines, including novel theories, algorithms, and applications. Research areas cover a wide range, such as big data analytics, visualization, curation, management, semantics, infrastructure, standards, performance analysis, intelligence extraction, scientific discovery, security, privacy, and legal issues specific to big data. The journal also prioritizes applications of big data in fields generating massive datasets.