Data Analytics for Social Microblogging Platforms

Section 1: Introduction of Intelligent Information Filtering and Organisation Systems for Social Microblogging Sites<br>1. Introduction to Microblogging Sites<br>2. Data structures and data storage<br>3. Data Collection using Twitter API<br><br>Section 2: Microblogging dataset Applications and Implications<br>4. Brief overview of existing algorithms and Applications<br>Attribute Selection Methods - Filter Method, Wrapper Method, Other attribute selection algorithms<br>5. Spam detection - Spam detection in OSM - Attribute selection for spam detection<br>6.  Summarization - Automatic Document Summarization, Summarization of microblogs, Comparing algorithms for microblog summarization, Summarization Validation<br>7. Cluster Analysis, Clustering Algorithms, Partition based Clustering, Hierarchical Clustering, Density-based Clustering, Graph clustering algorithms, Cluster Validation Indices, Clustering in Online Social Microblogging Sites<br><br>Section 3: Attribute Selection to Improve Spam Classification<br>8. Introduction of Attribute Selection to Improve Spam Classification<br>9. Attribute Selection Based in Basics of Rough Set Theory and Attribute selection algorithm.<br>10. Experimental Dataset Description<br>11. Evaluating performance and Evaluation measures<br>12. Fake news, scams, recruiting by terrorist or criminal organizations<br><br>Section 4: Microblog Summarization<br>13. Introduction of Microblog Summarization<br>14. Base summarization algorithms<br>15. Unsupervised ensemble summarization approach<br>16. Supervised ensemble summarisation approach<br>17. Experiments and results and Performance analysis<br>18. Demonstrating summarization examples<br><br>Section 5: Microblog Clustering<br>19. Introduction of Microblog Clustering<br>Experimental Dataset - will be posted on Mendeley and link included at end of Chapter 19<br>20. Graph Based Clustering Technique<br>21. Genetic Algorithm based Clustering<br>22. Clustering based on Feature Selection<br>23. Clustering Microblogs using Dimensionality Reduction<br>24. Evaluating performance and result Analysis<br><br>Section 6: Conclusion and Future Directions on Social Microblogging Sites