本書以數智化背景下的社會網絡輿情管理為核心研究內容，從輿情早期識別、輿情溯源分析、輿情趨勢預測到系統(tǒng)集成實踐，系統(tǒng)地展示了全流程的分析框架�；谟脩羯矸葑R別、社區(qū)分析、知識管理、文本挖掘、知識圖譜構建等多個視角，深入解析了社會網絡中的輿情傳播特征與管理方法。運用了社會網絡分析的方法，結合自然語言處理和人工智能技術，探索了在海量網絡數據中識別輿情趨勢的方法，同時以知識圖譜構建為基礎，構建結構化的社會網絡輿情信息，提升了輿情管理的系統(tǒng)化和精準度。
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1984-09 至 1989-08, 清華大學信息學院, 本科
1989-09 至 1993-11, 清華大學信息學院, 博士1993-12 至 1995-11, 北京大學計算機所, 博士后
1995-12 至 2004-06, 美國硅谷高科技公司, 數據挖掘高科技公司, 研究員
2004-07 至 2009-06, 方正集團計算機技術研究院，數據挖掘研究室主任高級研究員
2009-07 至 今, 中國人民大學, 信息學院, 教授人工智能、輿情管理、
數據挖掘、社交網絡2022-2024年共發(fā)表47篇均為第1作者或通訊作者的中國計算機學會CCF目錄中的A/B類、SCI、中文一級學報論文，以下僅列出2024年論文
[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中國計算機學會自然語言處理委員會專委、中國信息經濟學會常務理事、經濟數學與管理數學學會副理事長、中國運籌學會決策分會常務理事、中國優(yōu)選法與經濟數學學會常務理事、區(qū)塊鏈產業(yè)專業(yè)委員會委員、優(yōu)選法統(tǒng)籌費與經濟數學分會學術委員會委員、陜西省金融科技創(chuàng)新基地顧問委員會委員、《中國管理科學》期刊編委、數字化集成技術教育部工程中心專家委員會委員、中國中文信息學會信息檢索委員會專委
目錄
前言/001
第1章 緒論
1.1 社會治理的數字化轉型/002
1.2 社會網絡風險的多維度分析/007
1.3 社會網絡智能化風險感知與治理策略/010
1.4 輿情動態(tài)與社會網絡的時代挑戰(zhàn)/019
1.5 社會網絡輿情研究前沿/022
1.6 社會網絡的結構與治理機制/024
1.7 知識管理與社會網絡輿情管理/030
1.8 社會網絡中的信息挖掘/043
1.9 知識圖譜與網絡輿情/048
第一篇 輿情早期識別與數字社會監(jiān)測
第2章 數字社會的社會網絡結構解析
2.1 社會網絡與社會結構理論/054
2.2 連接模式與社交動態(tài)：社會網絡特性解讀/058
2.3 關系網絡與緊密程度：社會網絡中的關聯(lián)密度分析/064
2.4 行為模式與社會影響：社會網絡中的用戶行為/069
第3章 數字社會監(jiān)測中的文本分析與輿情識別
3.1 早期輿情監(jiān)測的文本分析方法/076
3.2 早期輿情文本風格識別與分析/087
3.3 早期輿情文本情緒識別與分析/098
3.4 人工智能生成內容與輿論生態(tài)/109
第4章 知識圖譜賦能數字社會輿情早期識別
4.1 輿情知識圖譜的構建方法/129
4.2 輿情知識圖譜前沿與發(fā)展趨勢/133
4.3 從早期輿情挖掘到輿情知識圖譜/140
4.4 輿情知識圖譜實例分析/158
第二篇 輿情溯源與輿情社區(qū)分析
第5章 社會網絡中的用戶社區(qū)與結構溯源
5.1 社會網絡中的用戶身份識別/170
5.2 社會網絡中社區(qū)發(fā)現的策略與方法/201
5.3 探尋社區(qū)：非重疊與重疊社區(qū)的識別/205
5.4 社區(qū)動態(tài)擴展與整合方法/213
第6章 面向廣域文本分析的輿情內容溯源
6.1 形似字在輿情分析與管理中的角色/223
6.2 輿情文本細粒度實體表示：中文偏旁部首知識圖譜構建/227
6.3 實體相似度在中文輿情分析中的案例研究/231
6.4 敏感詞檢測應用：構建形似字與諧音字的知識圖譜/236
第7章 社會網絡輿情知識圖譜溯源推理
7.1 事理圖譜與輿情分析/239
7.2 構建輿情推理相關的事理圖譜/240
7.3 事件事理圖譜的時空線索挖掘/245
7.4 輿情事件推理及演化分析/248
7.5 輿情事件的事理圖譜分析方法/250
第三篇 輿情動態(tài)趨勢分析與預測
第8章 社會網絡中的輿情傳播模式
8.1 輿情傳播研究的理論背景/255
8.2 構建有效的輿情傳播模型/260
8.3 輿情傳播的宏觀模型/271
8.4 社會結構與輿情傳播的用戶互動/273
8.5 社會網絡管理中的輿情：策略與案例/280
第9章 社會網絡動態(tài)與輿情社區(qū)演化
9.1 面向拓撲結構增強學習的輿情溯源研究/289
9.2 基于元路徑圖表示學習的輿情傳播研究/293
9.3 基于特征感知圖的輿情關鍵局部鏈條發(fā)現研究/296
9.4 基于大規(guī)模社會網絡群組的輿情熱度互融研究/299
第10章 知識圖譜增強的數字社會輿情趨勢預測
10.1 輿情知識圖譜趨勢監(jiān)測/304
10.2 輿情知識圖譜危機預警/309
10.3 輿情知識圖譜趨勢的影響力分析/312
10.4 輿情知識圖譜趨勢數據融合/313
10.5 智能化輿情知識圖譜響應/318
第四篇 系統(tǒng)集成與輿情管理實踐
第11章 輿情數據分析系統(tǒng)與決策支持
11.1 輿情數據分析系統(tǒng)的重要應用/323
11.2 輿情安全大數據的關鍵特征分析/324
11.3 輿情數據分析及應對策略/327
11.4 輿情安全大數據存儲與融合/333
11.5 社會網絡輿情管理系統(tǒng)應用實例/339
11.6 輿情數據分析與管理的未來/340
第12章 輿情管理的大數據技術應用
12.1 大數據與輿情管理的融合/344
12.2 輿情管理中的圖譜構建方法/346
12.3 敏感信息大數據圖譜分析與推理/349
12.4 大數據輿情主題圖譜的管理策略/353
12.5 輿情知識圖譜的更新與推理/355
12.6 大數據驅動的輿情管理應用/357
12.7 某市大數據應用發(fā)展管理局的實踐案例/361
第13章 輿情管理實踐展望
13.1 理論回顧與實踐應用總結/365
13.2 未來研究方向與對策建議/375
參考文獻/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
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