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Muhammad Nihal Hussain
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2020 – today
- 2023
- [j2]Mustafa Alassad, Muhammad Nihal Hussain, Nitin Agarwal:
Developing an agent-based model to minimize spreading of malicious information in dynamic social networks. Comput. Math. Organ. Theory 29(3): 487-502 (2023) - 2022
- [j1]Mustafa Alassad, Muhammad Nihal Hussain, Nitin Agarwal:
Comprehensive decomposition optimization method for locating key sets of commenters spreading conspiracy theory in complex social networks. Central Eur. J. Oper. Res. 30(1): 367-394 (2022) - 2021
- [c17]Baris Kirdemir, Joseph Kready, Esther Mead, Muhammad Nihal Hussain, Nitin Agarwal:
Examining Video Recommendation Bias on YouTube. BIAS 2021: 106-116 - [c16]Muhammad Nihal Hussain, Hayder Al Rubaye, Kiran Kumar Bandeli, Nitin Agarwal:
Stories from Blogs: Computational Extraction and Visualization of Narratives. Text2Story@ECIR 2021: 33-40 - [c15]Baris Kirdemir, Joseph Kready, Esther Mead, Muhammad Nihal Hussain, Nitin Agarwal, Donald A. Adjeroh:
Assessing Bias in YouTube's Video Recommendation Algorithm in a Cross-lingual and Cross-topical Context. SBP-BRiMS 2021: 71-80 - [e1]Robert Thomson, Muhammad Nihal Hussain, Christopher L. Dancy, Aryn Pyke:
Social, Cultural, and Behavioral Modeling - 14th International Conference, SBP-BRiMS 2021, Virtual Event, July 6-9, 2021, Proceedings. Lecture Notes in Computer Science 12720, Springer 2021, ISBN 978-3-030-80386-5 [contents] - 2020
- [c14]Mustafa Alassad, Muhammad Nihal Hussain, Nitin Agarwal:
How to Control Coronavirus Conspiracy Theories in Twitter? A Systems Thinking and Social Networks Modeling Approach. IEEE BigData 2020: 4293-4299 - [c13]Kiran Kumar Bandeli, Muhammad Nihal Hussain, Nitin Agarwal:
A Framework towards Computational Narrative Analysis on Blogs. Text2Story@ECIR 2020: 63-69 - [c12]Joseph Kready, Shishila Awung Shimray, Muhammad Nihal Hussain, Nitin Agarwal:
YouTube Data Collection Using Parallel Processing. IPDPS Workshops 2020: 1119-1122 - [c11]Mustafa Alassad, Muhammad Nihal Hussain, Nitin Agarwal:
Developing Graph Theoretic Techniques to Identify Amplification and Coordination Activities of Influential Sets of Users. SBP-BRiMS 2020: 192-201 - [c10]Tuja Khaund, Muhammad Nihal Hussain, Mainuddin Shaik, Nitin Agarwal:
Telegram: Data Collection, Opportunities and Challenges. SIMBig 2020: 513-526
2010 – 2019
- 2019
- [c9]Adewale Obadimu, Muhammad Nihal Hussain, Nitin Agarwal:
Blog data analytics using blogtrackers. ASONAM 2019: 701-704 - [c8]Thomas Marcoux, Nitin Agarwal, Adewale Obadimu, Muhammad Nihal Hussain:
Understanding information operations using YouTubeTracker. ASONAM 2019: 709-712 - [c7]Adewale Obadimu, Esther Mead, Muhammad Nihal Hussain, Nitin Agarwal:
Identifying Toxicity Within YouTube Video Comment. SBP-BRiMS 2019: 214-223 - [c6]Mustafa Alassad, Nitin Agarwal, Muhammad Nihal Hussain:
Examining Intensive Groups in YouTube Commenter Networks. SBP-BRiMS 2019: 224-233 - [c5]Thomas Marcoux, Nitin Agarwal, Adewale Obadimu, Muhammad Nihal Hussain, Katrin Kania Galeano, Samer Al-Khateeb:
Understanding Information Operations using YouTubeTracker. WI (Companion) 2019: 309-313 - 2018
- [c4]Tuja Khaund, Kiran Kumar Bandeli, Muhammad Nihal Hussain, Adewale Obadimu, Samer Al-Khateeb, Nitin Agarwal:
Analyzing Social and Communication Network Structures of Social Bots and Humans. ASONAM 2018: 794-797 - [c3]Muhammad Nihal Hussain, Serpil Tokdemir, Nitin Agarwal, Samer Al-khateeb:
Analyzing Disinformation and Crowd Manipulation Tactics on YouTube. ASONAM 2018: 1092-1095 - [c2]Muhammad Nihal Hussain, Kiran Kumar Bandeli, Samer Al-khateeb, Nitin Agarwal:
Analyzing Shift in Narratives Regarding Migrants in Europe via Blogosphere. Text2Story@ECIR 2018: 33-40 - 2017
- [c1]Samer Al-khateeb, Muhammad Nihal Hussain, Nitin Agarwal:
Social Cyber Forensics Approach to Study Twitter's and Blogs' Influence on Propaganda Campaigns. SBP-BRiMS 2017: 108-113
Coauthor Index
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