目錄
前言/001
第1章 緒論
1.1 社會(huì)治理的數(shù)字化轉(zhuǎn)型/002
1.2 社會(huì)網(wǎng)絡(luò)風(fēng)險(xiǎn)的多維度分析/007
1.3 社會(huì)網(wǎng)絡(luò)智能化風(fēng)險(xiǎn)感知與治理策略/010
1.4 輿情動(dòng)態(tài)與社會(huì)網(wǎng)絡(luò)的時(shí)代挑戰(zhàn)/019
1.5 社會(huì)網(wǎng)絡(luò)輿情研究前沿/022
1.6 社會(huì)網(wǎng)絡(luò)的結(jié)構(gòu)與治理機(jī)制/024
1.7 知識(shí)管理與社會(huì)網(wǎng)絡(luò)輿情管理/030
1.8 社會(huì)網(wǎng)絡(luò)中的信息挖掘/043
1.9 知識(shí)圖譜與網(wǎng)絡(luò)輿情/048
第一篇 輿情早期識(shí)別與數(shù)字社會(huì)監(jiān)測(cè)
第2章 數(shù)字社會(huì)的社會(huì)網(wǎng)絡(luò)結(jié)構(gòu)解析
2.1 社會(huì)網(wǎng)絡(luò)與社會(huì)結(jié)構(gòu)理論/054
2.2 連接模式與社交動(dòng)態(tài)：社會(huì)網(wǎng)絡(luò)特性解讀/058
2.3 關(guān)系網(wǎng)絡(luò)與緊密程度：社會(huì)網(wǎng)絡(luò)中的關(guān)聯(lián)密度分析/064
2.4 行為模式與社會(huì)影響：社會(huì)網(wǎng)絡(luò)中的用戶行為/069
第3章 數(shù)字社會(huì)監(jiān)測(cè)中的文本分析與輿情識(shí)別
3.1 早期輿情監(jiān)測(cè)的文本分析方法/076
3.2 早期輿情文本風(fēng)格識(shí)別與分析/087
3.3 早期輿情文本情緒識(shí)別與分析/098
3.4 人工智能生成內(nèi)容與輿論生態(tài)/109
第4章 知識(shí)圖譜賦能數(shù)字社會(huì)輿情早期識(shí)別
4.1 輿情知識(shí)圖譜的構(gòu)建方法/129
4.2 輿情知識(shí)圖譜前沿與發(fā)展趨勢(shì)/133
4.3 從早期輿情挖掘到輿情知識(shí)圖譜/140
4.4 輿情知識(shí)圖譜實(shí)例分析/158
第二篇 輿情溯源與輿情社區(qū)分析
第5章 社會(huì)網(wǎng)絡(luò)中的用戶社區(qū)與結(jié)構(gòu)溯源
5.1 社會(huì)網(wǎng)絡(luò)中的用戶身份識(shí)別/170
5.2 社會(huì)網(wǎng)絡(luò)中社區(qū)發(fā)現(xiàn)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(shí)別/205
5.4 社區(qū)動(dòng)態(tài)擴(kuò)展與整合方法/213
第6章 面向廣域文本分析的輿情內(nèi)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(xì)粒度實(shí)體表示：中文偏旁部首知識(shí)圖譜構(gòu)建/227
6.3 實(shí)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(cè)應(yīng)用：構(gòu)建形似字與諧音字的知識(shí)圖譜/236
第7章 社會(huì)網(wǎng)絡(luò)輿情知識(shí)圖譜溯源推理
7.1 事理圖譜與輿情分析/239
7.2 構(gòu)建輿情推理相關(guān)的事理圖譜/240
7.3 事件事理圖譜的時(shí)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(dòng)態(tài)趨勢(shì)分析與預(yù)測(cè)
第8章 社會(huì)網(wǎng)絡(luò)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(gòu)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(huì)結(jié)構(gòu)與輿情傳播的用戶互動(dòng)/273
8.5 社會(huì)網(wǎng)絡(luò)管理中的輿情：策略與案例/280
第9章 社會(huì)網(wǎng)絡(luò)動(dòng)態(tài)與輿情社區(qū)演化
9.1 面向拓?fù)浣Y(jié)構(gòu)增強(qiáng)學(xué)習(xí)的輿情溯源研究/289
9.2 基于元路徑圖表示學(xué)習(xí)的輿情傳播研究/293
9.3 基于特征感知圖的輿情關(guān)鍵局部鏈條發(fā)現(xiàn)研究/296
9.4 基于大規(guī)模社會(huì)網(wǎng)絡(luò)群組的輿情熱度互融研究/299
第10章 知識(shí)圖譜增強(qiáng)的數(shù)字社會(huì)輿情趨勢(shì)預(yù)測(cè)
10.1 輿情知識(shí)圖譜趨勢(shì)監(jiān)測(cè)/304
10.2 輿情知識(shí)圖譜危機(jī)預(yù)警/309
10.3 輿情知識(shí)圖譜趨勢(shì)的影響力分析/312
10.4 輿情知識(shí)圖譜趨勢(shì)數(shù)據(jù)融合/313
10.5 智能化輿情知識(shí)圖譜響應(yīng)/318
第四篇 系統(tǒng)集成與輿情管理實(shí)踐
第11章 輿情數(shù)據(jù)分析系統(tǒng)與決策支持
11.1 輿情數(shù)據(jù)分析系統(tǒng)的重要應(yīng)用/323
11.2 輿情安全大數(shù)據(jù)的關(guān)鍵特征分析/324
11.3 輿情數(shù)據(jù)分析及應(yīng)對(duì)策略/327
11.4 輿情安全大數(shù)據(jù)存儲(chǔ)與融合/333
11.5 社會(huì)網(wǎng)絡(luò)輿情管理系統(tǒng)應(yīng)用實(shí)例/339
11.6 輿情數(shù)據(jù)分析與管理的未來(lái)/340
第12章 輿情管理的大數(shù)據(jù)技術(shù)應(yīng)用
12.1 大數(shù)據(jù)與輿情管理的融合/344
12.2 輿情管理中的圖譜構(gòu)建方法/346
12.3 敏感信息大數(shù)據(jù)圖譜分析與推理/349
12.4 大數(shù)據(jù)輿情主題圖譜的管理策略/353
12.5 輿情知識(shí)圖譜的更新與推理/355
12.6 大數(shù)據(jù)驅(qū)動(dòng)的輿情管理應(yīng)用/357
12.7 某市大數(shù)據(jù)應(yīng)用發(fā)展管理局的實(shí)踐案例/361
第13章 輿情管理實(shí)踐展望
13.1 理論回顧與實(shí)踐應(yīng)用總結(jié)/365
13.2 未來(lái)研究方向與對(duì)策建議/375
參考文獻(xiàn)/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