Alessandro Flammini
Physics and Astronomy · Indiana University
Publications
254
Citations
21,336
Est. group size
—
Recurring co-author estimate
Active years
31
Publishing since 1996
Alessandro Flammini studies how information and influence spread through social networks, with a focus on online platforms like Twitter/X. His work combines the mathematics of complex networks with the analysis of misinformation, political polarization, coordinated manipulation campaigns, and automated (bot) accounts. Much of the research aims to detect and understand how false or manipulative content is created and amplified online.
Publication activity has been relatively steady over the last decade, ranging roughly from 7 to 25 papers per year with an average of about 12 in the last five years.
Generated by claude-opus-4-8 from public bibliographic data · Jul 9, 2026
Typically publishes in teams of ~5 · 8% small-team papers (≤3 authors) · across 39 venues
- Detectability threshold in weighted modular networks
Physical review. E · 2026
- Detectability threshold in weighted modular networks
Physical review. E · 2026
- Identifying Constructive Conflict in Online Discussions through Controversial yet Toxicity Resilient Posts
Proceedings of the International AAAI Conference on Web and Social Media · 2026
- Scale invariance and statistical significance in complex weighted networks
Physical review. E · 2026
- Behavior Change as a Signal for Identifying Social Media Manipulation
arXiv (Cornell University) · 2026
- Behavior Change as a Signal for Identifying Social Media Manipulation
arXiv (Cornell University) · 2026
- Israel-Hamas War on X: A Case Study of Coordinated Campaigns and Information Integrity
arXiv (Cornell University) · 2026
- Israel-Hamas War on X: A Case Study of Coordinated Campaigns and Information Integrity
arXiv (Cornell University) · 2026
- Behavior Change as a Signal for Identifying Social Media Manipulation
2026
- Adversarial Creation and Detection of AI-Generated Social Bot Content
arXiv (Cornell University) · 2026
- Adversarial Creation and Detection of AI-Generated Social Bot Content
arXiv (Cornell University) · 2026
- Challenging Partisan Expectations Reduces Political Polarization
arXiv (Cornell University) · 2026
- Challenging Partisan Expectations Reduces Political Polarization
arXiv (Cornell University) · 2026
- Emergence of Stereotypes and Affective Polarization from Belief Network Dynamics
arXiv (Cornell University) · 2026
- Emergence of Stereotypes and Affective Polarization from Belief Network Dynamics
arXiv (Cornell University) · 2026
- arXiv (Cornell University)×38
- Zenodo (CERN European Organization for Nuclear Research)×19
- Proceedings of the International AAAI Conference on Web and Social Media×9
- Sustainability×7
- Physical review. E×6
- Kristina Lerman
Physics and Astronomy · Indiana University
- Xiaodan Lou
Physics and Astronomy · Indiana University
- Yong‐Yeol Ahn
Physics and Astronomy · Indiana University
- Chengjun Wang
Physics and Astronomy · Purdue University West Lafayette
- Diogo Pacheco
Social Sciences · Indiana University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Sep 1, 2026.
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