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社会与信息网络:2025–2026 年度综述

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"2025–2026 年度综述"

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Author
Synergy Computer Science Team
Format
EBOOK
Print length
475 pages
Language
ZH-CN
Publisher
协同图书
Series
年度综述
SYBN
K44R1ZMU3R
Product Information

Description

An annual survey of the cs.SI arXiv category, covering research published from September 2025 – August 2026. Built on a close-reading set of 100 papers and organised into 32 chapters, it maps the year by the field's research sub-directions.

Book framework (share of the year's output):

  • Large-Scale Social and Information Network Analysis (87.6%) — This subdirection focuses on analyzing large-scale social and information networks, addressing challenges in structural analysis, pattern detection, and the impact of digital platforms on political and social dynamics.
  • Graph Neural Networks for Link Prediction and Node Classification (4.6%) — This subdirection develops and applies graph neural networks to fundamental network tasks such as link prediction, node classification, and community detection, with emphasis on scalability and performance.
  • LLM-Based Social Media Simulation and Agent Modeling (4.2%) — This subdirection uses large language models to simulate social media interactions, misinformation propagation, and opinion formation among agents, exploring human-like behavior in online platforms.
  • Community Detection in Complex and Signed Networks (1.8%) — This subdirection improves community detection algorithms for complex, signed, and temporal networks, addressing challenges in overlapping communities and real-world applicability.
  • Influence Maximization and Diffusion Modeling (0.9%) — This subdirection investigates influence propagation and maximization strategies in social networks, modeling collective behavior and diffusion mechanisms under resource constraints.
  • Opinion Dynamics and Temporal Belief Evolution (0.8%) — This subdirection models how opinions and beliefs evolve over time in networked populations, incorporating temporal dynamics, bounded confidence, and media influence.
  • Networked Game Dynamics and Role Analysis (0.1%) — This subdirection examines evolutionary game dynamics and role shifts in networked populations, focusing on reputation, consensus, and critical structural roles.

Each sub-direction is covered across three chapters — how it framed its questions, the strength of its key findings, and its open debates and frontiers — so the reader gets a traceable picture of what this part of the field actually produced over the year.

BOOK DETAILS

Product details

SYBN
K44R1ZMU3R
Publisher
协同图书
Language
Chinese (Simplified) / Chinese (Traditional) / English
Print Length
475 pages
Dimensions
6 x 1.19 x 9 inches
Item Weight
1.75 pounds
ABOUT THE AUTHOR
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Synergy Computer Science Team

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Additional Information

Source & tags

计算机 / 互联网 / 社交媒体计算机 / 数据科学 / 数据分析
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