University of Ulster, Belfast UK
Author Profiles
Dr. Amirhosein Bodaghi
Early Academic Pursuits
Dr. Amirhosein Bodaghi obtained his Ph.D. in Information Technology Engineering from the University of Tehran, where he focused on modeling rumor spreading on online social networks. His doctoral research, enriched by a visiting period at the Federal University of Rio de Janeiro, explored how human behavior and dissenting opinions influence the dynamics of digital communication. This phase laid the groundwork for his enduring interest in computational social science and the intersection of technology, networks, and human behavior.
Professional Endeavors
Dr. Bodaghi currently works in a research and teaching role at Ulster University, Belfast, UK, contributing to data-driven innovations in predictive analytics and social computing.
He previously completed postdoctoral fellowships at the City University of Hong Kong—ranked among the world’s top 70 universities—and at the Federal University of Rio de Janeiro, Brazil’s leading research institution.
Earlier in his career, he served as an official delegate of the Asia-Pacific Telecommunity (APT) at the International Telecommunication Union (ITU), where he contributed to global ICT initiatives in cybersecurity, e-accessibility, and e-commerce. His professional trajectory reflects a unique blend of academic rigor and international collaboration.
Contributions and Research Focus on Predictive Analysis
Dr. Bodaghi’s research lies at the intersection of big data analysis, complex networks, and computational social science. His studies investigate the mechanisms of information diffusion, fake news propagation, and semantic dynamics on large-scale social networks such as Twitter and Instagram.
Recent works include pioneering methods for financial anomaly prediction and election forecasting through the semantic analysis of news flows. His publications have appeared in top-tier journals, including Computer Communications, Expert Systems with Applications, Decision Analytics Journal, Journal of Computational Social Science, and Social Network Analysis and Mining.
Accolades and Recognition
With an h-index of 8, Dr. Bodaghi has authored and co-authored papers in highly ranked Q1 and Q2 journals and presented at international conferences such as UCAmI 2024 (Belfast) and Computer Networks, Big Data and IoT 2022 (India).
He holds the title of Associate Fellow of the Higher Education Academy (AFHEA) in the United Kingdom and has secured research funding for FinTech projects in the Hong Kong Science Park.
Impact and Influence
Dr. Bodaghi’s interdisciplinary work bridges data science, artificial intelligence, and social behavior modeling. His insights into online information dynamics contribute to combating misinformation, enhancing financial forecasting systems, and improving algorithmic transparency. His research offers valuable guidance for policymakers, technology companies, and academic communities navigating the challenges of the digital information era.
Legacy and Future Contributions
Continuing his research at Ulster University, Dr. Bodaghi aims to expand predictive modeling frameworks that integrate semantic networks and AI-driven decision systems. His work remains instrumental in advancing computational methods that decode the complexity of social interactions in digital spaces.
Citations
Citations: 300
h-index: 8
i10-index: 8
Notable Publications
Financial Anomaly Prediction by Using Semantic Space of News Flow on Twitter, Decision Analytics Journal, 2024.
A Big Data Analysis of the Adoption of Quoting Encouragement Policy in Twitter during the 2020 U.S. Presidential Election, Journal of Computational Social Science, 2024.
The Theater of Fake News Spreading: Who Plays Which Role? A Study on Real Graphs of Spreading on Twitter, Expert Systems with Applications, 2022.
The Characteristics of Rumor Spreaders on Twitter: A Quantitative Analysis on Real Data, Computer Communications, 2020.
A Longitudinal Analysis on Instagram Characteristics of Olympic Champions, Social Network Analysis and Mining, 2022.
The Rumor Categorizer: An Open-Source Software for Analyzing Rumor Posts on Twitter, Software Impacts, 2022.