Overlapping communities on social networks : a self-falsifiable hierarchical detection algorithm
Thesis: S.M. in Management Research, Massachusetts Institute of Technology, Sloan School of Management, May, 2020
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Language: | eng |
| Published: |
Massachusetts Institute of Technology
2020
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/1721.1/126965 |
| _version_ | 1826190093415612416 |
|---|---|
| author | Li, Tianyi,Ph.D.Massachusetts Institute of Technology. |
| author2 | Hazhir Rahmandad and John Sterman. |
| author_facet | Hazhir Rahmandad and John Sterman. Li, Tianyi,Ph.D.Massachusetts Institute of Technology. |
| author_sort | Li, Tianyi,Ph.D.Massachusetts Institute of Technology. |
| collection | MIT |
| description | Thesis: S.M. in Management Research, Massachusetts Institute of Technology, Sloan School of Management, May, 2020 |
| first_indexed | 2024-09-23T08:34:56Z |
| format | Thesis |
| id | mit-1721.1/126965 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T08:34:56Z |
| publishDate | 2020 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1269652022-06-23T15:23:14Z Overlapping communities on social networks : a self-falsifiable hierarchical detection algorithm Li, Tianyi,Ph.D.Massachusetts Institute of Technology. Hazhir Rahmandad and John Sterman. Sloan School of Management. Sloan School of Management Sloan School of Management. Thesis: S.M. in Management Research, Massachusetts Institute of Technology, Sloan School of Management, May, 2020 Cataloged from the official PDF of thesis. Includes bibliographical references (pages 37-41). Community detection is a central topic in network studies, whereas no community detection algorithm can be optimal for all possible networks; thus it is important to identify whether the algorithm is suitable for a given network. We propose a multi-step algorithmic solution scheme for overlapping community detection based on an advanced label propagation process, which imitates the community formation process on social networks. Our algorithm is parameter-free and is able to reveal the hierarchical order of communities in the graph. The unique property of our solution scheme is self-falsifiability; an automatic quality check of the results is conducted after the detection, and the fitness of the algorithm for the specific network is reported. Extensive experiments show that our algorithm is self-consistent, reliable on networks of a wide range of size and different sorts, and is more robust than existing algorithms on both sparse and large-scale social networks. Results further suggest that our solution scheme may uncover features of networks' intrinsic community structures, which implies that this study builds up potential theoretical ground for future research, beyond expected applications in a wider-scale. by Tianyi Li. S.M. in Management Research S.M.inManagementResearch Massachusetts Institute of Technology, Sloan School of Management 2020-09-03T16:45:43Z 2020-09-03T16:45:43Z 2020 2020 Thesis https://hdl.handle.net/1721.1/126965 1191221606 eng MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided. http://dspace.mit.edu/handle/1721.1/7582 41 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Sloan School of Management. Li, Tianyi,Ph.D.Massachusetts Institute of Technology. Overlapping communities on social networks : a self-falsifiable hierarchical detection algorithm |
| title | Overlapping communities on social networks : a self-falsifiable hierarchical detection algorithm |
| title_full | Overlapping communities on social networks : a self-falsifiable hierarchical detection algorithm |
| title_fullStr | Overlapping communities on social networks : a self-falsifiable hierarchical detection algorithm |
| title_full_unstemmed | Overlapping communities on social networks : a self-falsifiable hierarchical detection algorithm |
| title_short | Overlapping communities on social networks : a self-falsifiable hierarchical detection algorithm |
| title_sort | overlapping communities on social networks a self falsifiable hierarchical detection algorithm |
| topic | Sloan School of Management. |
| url | https://hdl.handle.net/1721.1/126965 |
| work_keys_str_mv | AT litianyiphdmassachusettsinstituteoftechnology overlappingcommunitiesonsocialnetworksaselffalsifiablehierarchicaldetectionalgorithm |