本书以数智化背景下的社会网络舆情管理为核心研究内容，从舆情早期识别、舆情溯源分析、舆情趋势预测到系统集成实践，系统地展示了全流程的分析框架。基于用户身份识别、社区分析、知识管理、文本挖掘、知识图谱构建等多个视角，深入解析了社会网络中的舆情传播特征与管理方法。运用了社会网络分析的方法，结合自然语言处理和人工智能技术，探索了在海量网络数据中识别舆情趋势的方法，同时以知识图谱构建为基础，构建结构化的社会网络舆情信息，提升了舆情管理的系统化和精准度。

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1984-09 至 1989-08, 清华大学信息学院, 本科 1989-09 至 1993-11, 清华大学信息学院, 博士1993-12 至 1995-11, 北京大学计算机所, 博士后 1995-12 至 2004-06, 美国硅谷高科技公司, 数据挖掘高科技公司, 研究员 2004-07 至 2009-06, 方正集团计算机技术研究院，数据挖掘研究室主任高级研究员 2009-07 至 今, 中国人民大学, 信息学院, 教授人工智能、舆情管理、 数据挖掘、社交网络2022-2024年共发表47篇均为第1作者或通讯作者的中国计算机学会CCF目录中的A/B类、SCI、中文一级学报论文，以下仅列出2024年论文 [1] Sensen Zhang, Xun Liang, Integrating large language models and mobius group transformations for temporal knowledge graph embedding on the riemann sphere, AAAI Conference on Artificial Intelligence (AAAI) (CCF-A), 23667-23668, 2024 [2] Xun Liang, Zhiying Li, Hongxun Jiang, Enhancing healthcare recommendations: a privacy-protective and interpretable cross-domain framework, AAAI Conference on Artificial Intelligence (AAAI) (CCF-A), 23中国计算机学会自然语言处理委员会专委、中国信息经济学会常务理事、经济数学与管理数学学会副理事长、中国运筹学会决策分会常务理事、中国优选法与经济数学学会常务理事、区块链产业专业委员会委员、优选法统筹费与经济数学分会学术委员会委员、陕西省金融科技创新基地顾问委员会委员、《中国管理科学》期刊编委、数字化集成技术教育部工程中心专家委员会委员、中国中文信息学会信息检索委员会专委

目录
前言/001
第1章 绪论
1.1 社会治理的数字化转型/002
1.2 社会网络风险的多维度分析/007
1.3 社会网络智能化风险感知与治理策略/010
1.4 舆情动态与社会网络的时代挑战/019
1.5 社会网络舆情研究前沿/022
1.6 社会网络的结构与治理机制/024
1.7 知识管理与社会网络舆情管理/030
1.8 社会网络中的信息挖掘/043
1.9 知识图谱与网络舆情/048
第一篇 舆情早期识别与数字社会监测
第2章 数字社会的社会网络结构解析
2.1 社会网络与社会结构理论/054
2.2 连接模式与社交动态：社会网络特性解读/058
2.3 关系网络与紧密程度：社会网络中的关联密度分析/064
2.4 行为模式与社会影响：社会网络中的用户行为/069
第3章 数字社会监测中的文本分析与舆情识别
3.1 早期舆情监测的文本分析方法/076
3.2 早期舆情文本风格识别与分析/087
3.3 早期舆情文本情绪识别与分析/098
3.4 人工智能生成内容与舆论生态/109
第4章 知识图谱赋能数字社会舆情早期识别
4.1 舆情知识图谱的构建方法/129
4.2 舆情知识图谱前沿与发展趋势/133
4.3 从早期舆情挖掘到舆情知识图谱/140
4.4 舆情知识图谱实例分析/158
第二篇 舆情溯源与舆情社区分析
第5章 社会网络中的用户社区与结构溯源
5.1 社会网络中的用户身份识别/170
5.2 社会网络中社区发现的策略与方法/201
5.3 探寻社区：非重叠与重叠社区的识别/205
5.4 社区动态扩展与整合方法/213
第6章 面向广域文本分析的舆情内容溯源
6.1 形似字在舆情分析与管理中的角色/223
6.2 舆情文本细粒度实体表示：中文偏旁部首知识图谱构建/227
6.3 实体相似度在中文舆情分析中的案例研究/231
6.4 敏感词检测应用：构建形似字与谐音字的知识图谱/236
第7章 社会网络舆情知识图谱溯源推理
7.1 事理图谱与舆情分析/239
7.2 构建舆情推理相关的事理图谱/240
7.3 事件事理图谱的时空线索挖掘/245
7.4 舆情事件推理及演化分析/248
7.5 舆情事件的事理图谱分析方法/250
第三篇 舆情动态趋势分析与预测
第8章 社会网络中的舆情传播模式
8.1 舆情传播研究的理论背景/255
8.2 构建有效的舆情传播模型/260
8.3 舆情传播的宏观模型/271
8.4 社会结构与舆情传播的用户互动/273
8.5 社会网络管理中的舆情：策略与案例/280
第9章 社会网络动态与舆情社区演化
9.1 面向拓扑结构增强学习的舆情溯源研究/289
9.2 基于元路径图表示学习的舆情传播研究/293
9.3 基于特征感知图的舆情关键局部链条发现研究/296
9.4 基于大规模社会网络群组的舆情热度互融研究/299
第10章 知识图谱增强的数字社会舆情趋势预测
10.1 舆情知识图谱趋势监测/304
10.2 舆情知识图谱危机预警/309
10.3 舆情知识图谱趋势的影响力分析/312
10.4 舆情知识图谱趋势数据融合/313
10.5 智能化舆情知识图谱响应/318
第四篇 系统集成与舆情管理实践
第11章 舆情数据分析系统与决策支持
11.1 舆情数据分析系统的重要应用/323
11.2 舆情安全大数据的关键特征分析/324
11.3 舆情数据分析及应对策略/327
11.4 舆情安全大数据存储与融合/333
11.5 社会网络舆情管理系统应用实例/339
11.6 舆情数据分析与管理的未来/340
第12章 舆情管理的大数据技术应用
12.1 大数据与舆情管理的融合/344
12.2 舆情管理中的图谱构建方法/346
12.3 敏感信息大数据图谱分析与推理/349
12.4 大数据舆情主题图谱的管理策略/353
12.5 舆情知识图谱的更新与推理/355
12.6 大数据驱动的舆情管理应用/357
12.7 某市大数据应用发展管理局的实践案例/361
第13章 舆情管理实践展望
13.1 理论回顾与实践应用总结/365
13.2 未来研究方向与对策建议/375
参考文献/380
索 引/402
Preface/001
CHAPTER 1 INTRODUCTION
1.1 Digital Transformation of Social Governance/002
1.2 Multidimensional Analysis of Social Network Risks/007
1.3 Social Network Intelligent Risk Perception and Governance Strategies/010
1.4 Public Opinion Dynamics and the Challenges of the Social Network Era/019
1.5 Frontiers of Social Network Public Opinion Research/022
1.6 Structure and Governance Mechanism of Social Networks/024
1.7 Knowledge Management and Social Network Public Opinion Management/030
1.8 Information Mining in Social Networks/043
1.9 Knowledge Graph and Online Public Opinion/048
PART 1 EARLY IDENTIFICATION OF PUBLIC OPINION AND
MONITORING OF DIGITAL SOCIETY
CHAPTER 2 ANALYSIS OF SOCIAL NETWORK STRUCTURE IN DIGITAL SOCIETY
2.1 Social Network and Social Structure Theory/054
2.2 Connection Patterns and Social Dynamics: Interpretation of Social Network Characteristics/058
2.3 Relationship Network and Tightness: Analysis of Association Density in Social Networks/064
2.4 Behavioral Patterns and Social Influence: User Behavior in Social Networks/069
CHAPTER 3 TEXT ANALYSIS AND PUBLIC OPINION RECOGNITION IN DIGITAL SOCIETY MONITORING
3.1 Text Analysis Methods for Early Public Opinion Monitoring/076
3.2 Recognition and Analysis of Early Public Opinion Text Style/087
3.3 Recognition and Analysis of Early Public Opinion Text Emotion /098
3.4 Artificial Intelligence Generated Content and Public Opinion Ecology/109
CHAPTER 4 KNOWLEDGE GRAPH EMPOWERS EARLY IDENTIFICATION OF DIGITAL SOCIAL PUBLIC OPINION
4.1 Construction Method of Public Opinion Knowledge Graph/129
4.2 Frontiers and Development Trends of Public Opinion Knowledge Graph/133
4.3 From Early Public Opinion Mining to Public Opinion Knowledge Graph/140
4.4 Analysis of Public Opinion Knowledge Graph Examples/158
PART 2 TRACEABILITY OF PUBLIC OPINION AND ANALYSIS OF PUBLIC OPINION COMMUNITIES
CHAPTER 5 USER COMMUNITIES AND STRUCTURE TRACEABILITY IN SOCIAL NETWORKS
5.1 User Identification in Social Networks/170
5.2 Strategies and Methods for Community Discovery in Social Networks/201
5.3 Exploring Communities: Identification of Nonoverlapping and Overlapping Communities/205
5.4 Community Dynamic Expansion and Integration Methods/213
CHAPTER 6 CONTENT TRACEABILITY OF PUBLIC OPINION FOR WIDE-AREA TEXT ANALYSIS
6.1 Role of Similar Characters in Public Opinion Analysis and Management/223
6.2 Fine-Grained Entity Representation of Public Opinion Text: Construction of Chinese Radical Knowledge Graph/227
6.3 Case Study on Entity Similarity in Chinese Public Opinion Analysis/231
6.4 Detection Application of Sensitive Words: Constructing a Knowledge Graph of Similar and Homophonic Words/236
CHAPTER 7 TRACING AND REASONING OF SOCIAL NETWORK PUBLIC OPINION KNOWLEDGE GRAPH
7.1 Reasoning Graph and Public Opinion Analysis/239
7.2 Building a Reasoning Graph Related to Public Opinion Inference/240
7.3 Spatiotemporal Clue Mining of Event Reasoning Graph/245
7.4 Reasoning and Evolution Analysis of Public Opinion Events/248
7.5 Methods for Analyzing the Reasoning Graph of Public Opinion Events/250
PART 3 ANALYSIS AND PREDICTION OF DYNAMIC TRENDS
IN PUBLIC OPINION
CHAPTER 8 PUBLIC OPINION COMMUNICATION MODELS IN SOCIAL NETWORKS
8.1 Theoretical Background of Public Opinion Dissemination Research/255
8.2 Building Effective Public Opinion Dissemination Models/260
8.3 Macro Model of Public Opinion Dissemination/271
8.4 User Interaction in Social Structure and Public Opinion Dissemination/273
8.5 Public Opinion in Social Network Management: Strategies and Cases/280
CHAPTER 9 SOCIAL NETWORK DYNAMICS AND PUBLIC OPINION COMMUNITY EVOLUTION
9.1 Research on Public Opinion Traceability for Topological Structure Enhancement Learning/289
9.2 Research on Public Opinion Propagation Based on Meta Path Graph Representation Learning/293
9.3 Research on Key Local Chain Discovery of Public Opinion Based on Feature Perception Graph/296
9.4 Research on the Integration of Public Opinion Heat Based on Large Scale Social Network Groups/299
CHAPTER 10 PREDICTION OF DIGITAL SOCIETY PUBLIC OPINION TRENDS ENHANCED BY KNOWLEDGE GRAPH
10.1 Trend Monitoring of Public Opinion Knowledge Graph/304
10.2 Crisis Warning of Public Opinion Knowledge Graph/309
10.3 Analysis of Trend Influence of Public Opinion Knowledge Graph/312
10.4 Trend Data Fusion of Public Opinion Knowledge Graph/313
10.5 Response of Intelligent Public Opinion Knowledge Graph/318
PART 4 SYSTEM INTEGRATION AND PUBLIC OPINION
MANAGEMENT PRACTICE
CHAPTER 11 PUBLIC OPINION DATA ANALYSIS SYSTEM AND DECISION SUPPORT
11.1 Important Applications of Public Opinion Data Analysis System/323
11.2 Key Characteristics Analysis of Public Opinion Security Big Data/324
11.3 Public Opinion Data Analysis and Response Strategies/327
11.4 Public Opinion Security Big Data Storage and Fusion/333
11.5 Application Examples of Social Network Public Opinion Management System/339
11.6 Future of Public Opinion Data Analysis and Management/340
CHAPTER 12 APPLICATION OF BIG DATA TECHNOLOGY TO PUBLIC OPINION MANAGEMENT
12.1 Fusion of Big Data and Public Opinion Management/344
12.2 Graph Formulation Method in Public Opinion Management/346
12.3 Analysis and Reasoning of Sensitive Information Big Data Graph/349
12.4 Management Strategy for Big Data Public Opinion Theme Map/353
12.5 Updating and Reasoning of Public Opinion Knowledge Graph/355
12.6 Big Data-Driven Public Opinion Management Application/357
12.7 A Practical Case from the Big Data Application Development and Management Bureau in a City/361
CHAPTER 13 PROSPECTS FOR PUBLIC OPINION MANAGEMENT PRACTICE
13.1 Theoretical Review and Practical Application Summary/365
13.2 Future Research Directions and Policy Suggestions/375
REFERENCES/380
INDEX/402