| 摘要 | 第2-3页 |
| Abstract | 第3页 |
| 1 Introduction | 第9-25页 |
| 1.1 Research background and research problem | 第9-11页 |
| 1.1.1 Research background | 第9-10页 |
| 1.1.2 Research problem | 第10-11页 |
| 1.2 Literature review | 第11-20页 |
| 1.2.1 Approaches to the risk interconnectivity studies | 第11-12页 |
| 1.2.2 Risk communication theories | 第12-16页 |
| 1.2.3 Risk perception theory | 第16-18页 |
| 1.2.4 Empirical researches | 第18-20页 |
| 1.3. Research design and methodology | 第20-25页 |
| 1.3.1 Research targets | 第20页 |
| 1.3.2 Research methodology | 第20-25页 |
| 2 The theoretical framework of interconnected risks study | 第25-34页 |
| 2.1 Six principles of the developed theoretical framework | 第25-26页 |
| 2.1.1 Reliability and credibility | 第25页 |
| 2.1.2 Development of ICT | 第25页 |
| 2.1.3 Information availability | 第25页 |
| 2.1.4 Specificity of studying region | 第25-26页 |
| 2.1.5 Contribution to the existing theoretical frameworks | 第26页 |
| 2.1.6 Cooperation with the experts | 第26页 |
| 2.2 Mental model of risks interconnectivity | 第26-29页 |
| 2.2.1 Targets of mental model application | 第26-27页 |
| 2.2.2 Mental model elicitation techniques | 第27页 |
| 2.2.3 Twitter analysis as indirect elicitation technic | 第27-29页 |
| 2.3 Analytical framework | 第29-34页 |
| 2.3.1 Database 1 analysis | 第29-30页 |
| 2.3.2 Sampling algorithm | 第30页 |
| 2.3.3 Database 2 analysis | 第30-32页 |
| 2.3.4 Risk interconnectivity mental model | 第32-34页 |
| 3 Content analysis of the selected case study | 第34-49页 |
| 3.1 Dataset on a presented case study | 第34页 |
| 3.1.1 Data collection time frames | 第34页 |
| 3.1.2 Data collection parameters | 第34页 |
| 3.2 Analysis of communication actors | 第34-37页 |
| 3.2.1 Distribution of the actors according the number of tweets and followers | 第34-36页 |
| 3.2.2 Distribution of the users according to their types | 第36-37页 |
| 3.3 Analysis of Twitter messages | 第37-40页 |
| 3.3.1 Analysis of the Overview sample | 第37页 |
| 3.3.2 Category analysis of tweets | 第37-40页 |
| 3.4 Interconnectivity concepts | 第40-45页 |
| 3.4.1 Co-occurrence network analysis | 第40-43页 |
| 3.4.2 Order of interconnectivity concepts’ occurrence | 第43-45页 |
| 3.5 Risk interconnectivity mental model | 第45-49页 |
| 3.5.1 Twitter users’ risk interconnectivity mental model | 第45-46页 |
| 3.5.2 Experts’ risk interconnectivity mental model | 第46-47页 |
| 3.5.3 Comprehensive risk interconnectivity mental model | 第47-49页 |
| 4 Discussion and implication of research results | 第49-59页 |
| 4.1 The mechanism of risks interconnectivity | 第49-54页 |
| 4.1.1 Source of the information and its characteristics | 第49页 |
| 4.1.2 Stage of the communication when the interconnectivity occurred | 第49-50页 |
| 4.1.3 Information leaders influenced the interconnectivity process | 第50页 |
| 4.1.4 Keywords of the message building interconnected concepts | 第50-52页 |
| 4.1.5 Order of interconnectivity conceptions’ occurrence | 第52页 |
| 4.1.6 Information message’s details: emotion-colored or neutral | 第52-53页 |
| 4.1.7 Features of the interconnectivity: opinion-based or information-based | 第53页 |
| 4.1.8 Details of the receiver’s background: expert or non-experts | 第53-54页 |
| 4.2 Risk communication system in Russia | 第54-59页 |
| 4.2.1 Risk communication system on Twitter | 第54-55页 |
| 4.2.2 Limitations of risk communication system on Twitter | 第55-56页 |
| 4.2.3 Distinctive features of risk communication in social networks in Russia basedon the present case | 第56-59页 |
| Conclusion and outlook | 第59-62页 |
| References | 第62-68页 |
| Appendix A. Words co-occurrence network charts | 第68-71页 |
| Research Projects and Publications in Master Study | 第71-72页 |
| Acknowledgement | 第72-76页 |
