| Abstract | 第4页 |
| 摘要 | 第5-8页 |
| Chapter 1 Introduction | 第8-14页 |
| 1.1 Motivation | 第8-11页 |
| 1.2 Literature Review | 第11-12页 |
| 1.2.1 Local Research Review | 第11页 |
| 1.2.2 International Research Review | 第11-12页 |
| 1.3 Research problem and objectives | 第12-13页 |
| 1.4 Thesis Outline/Organization | 第13-14页 |
| Chapter 2 Analysis of the tasks of processing social networks big data from the big data pointof view | 第14-39页 |
| 2.1 Analysis and classification of the technologies of storing, processing and managingbig data | 第14-31页 |
| 2.1.1 SQL-technologies of big data storage and processing | 第16-18页 |
| 2.1.2 NoSQL technologies | 第18-23页 |
| 2.1.3 Mixed (NewSQL) technologies | 第23-26页 |
| 2.1.4 Technologies for optimization of big data processing | 第26-29页 |
| 2.1.5 Complex infrastructures for working with big data | 第29-31页 |
| 2.2 Tasks of social networks monitoring from the point of view of big data | 第31-38页 |
| 2.2.1 Data structure according to the monitoring tasks | 第33-36页 |
| 2.2.2 Volume | 第36-37页 |
| 2.2.3 Variety | 第37页 |
| 2.2.4 Velocity | 第37页 |
| 2.2.5 Argumentation of possible approaches to saving and analysing data from socialnetworks in the tasks of their monitoring | 第37-38页 |
| 2.3 Argumentation of necessity of developing models for saving and managing data fromsocial networks in the tasks of their monitoring | 第38页 |
| 2.4 Research direction and tasks | 第38-39页 |
| Chapter 3 Analysis and synthesis of the model of saving and managing big data | 第39-75页 |
| 3.1 Structure of the meta-model of big data processing from accounts | 第39-41页 |
| 3.2 Analysis and synthesis of the model for processing account attributes | 第41-55页 |
| 3.2.1 Structural identification of the model | 第41-44页 |
| 3.2.2 Parametric identification of the model | 第44-47页 |
| 3.2.3 Direct problem | 第47-50页 |
| 3.2.4 Inverse problem | 第50-52页 |
| 3.2.5 Storage model of“accounts”data | 第52-55页 |
| 3.3 Analysis and synthesis of the model for processing“relations”data | 第55-62页 |
| 3.3.1 Structural identification of the model | 第55-57页 |
| 3.3.2 Parametric identification of the model | 第57-59页 |
| 3.3.3 Direct problem | 第59-60页 |
| 3.3.4 Inverse problem | 第60-61页 |
| 3.3.5 Storage model of“relations”data | 第61-62页 |
| 3.4 Analysis and synthesis of the model for“posted”data processing | 第62-73页 |
| 3.4.1 Structural identification of the model | 第62-67页 |
| 3.4.2 Parametric identification of the model | 第67-70页 |
| 3.4.3 Direct problem | 第70-71页 |
| 3.4.4 Inverse problem | 第71-72页 |
| 3.4.5 Storage model of“posted”data | 第72-73页 |
| 3.5 Analysis and synthesis of the meta-model of big data processing | 第73-75页 |
| Chapter 4 Experimental research | 第75-81页 |
| 4.1 Argumentation of the software structure | 第75页 |
| 4.2 Experiments on the suggested model | 第75-81页 |
| Chapter 5 Conclusion | 第81-82页 |
| Acknowledgements | 第82-83页 |
| Abbreviations | 第83-84页 |
| References | 第84-87页 |
| Appendix A The script of accounts database creation in PostgreSQL | 第87-100页 |
| Appendix B Code of data downloading from social network to computing resources | 第100-118页 |
| Publications | 第118页 |
