https://hdl.handle.net/1959.11/51925
Title: | Real-time Detection of Content Polluters in Partially Observable Twitter Networks | Contributor(s): | Nasim, Mehwish (author); Nguyen, Andrew (author); Lothian, Nick (author); Cope, Robert (author) ; Mitchell, Lewis (author) | Publication Date: | 2018-04 | Open Access: | Yes | DOI: | 10.1145/3184558.3191574 | Handle Link: | https://hdl.handle.net/1959.11/51925 | Abstract: | Publication Type: | Conference Publication | Conference Details: | WWW 2018: Web Conference 2018, Lyon, France, 23rd - 27th April, 2018 | Source of Publication: | WWW '18: Companion Proceedings of the The Web Conference 2018, p. 1331-1339 | Publisher: | International World Wide Web Conferences Steering Committee | Place of Publication: | Geneva, Switzerland | Fields of Research (FoR) 2020: | 490508 Statistical data science 460501 Data engineering and data science |
Socio-Economic Objective (SEO) 2020: | 220502 Internet, digital and social media | Peer Reviewed: | Yes | HERDC Category Description: | E1 Refereed Scholarly Conference Publication | Description: | This paper was presented at a subsection of the Conference: Track: 9th International Workshop on Modeling Social Media (MSM 2018) Applying Machine Learning and AI for Modeling Social Media. |
---|---|
Appears in Collections: | Conference Publication School of Science and Technology |
Files in This Item:
File | Size | Format |
---|
SCOPUSTM
Citations
17
Page view(s)
752Download(s)
2Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.