The Anatomy of a Scientific Rumor
Not on the map. Why?
Abstract (arXiv)
The announcement of the discovery of a Higgs boson-like particle at CERN will be remembered as one of the milestones of the scientific endeavor of the 21st century. In this paper we present a study of information spreading processes on Twitter before, during and after the announcement of the discovery of a new particle with the features of the elusive Higgs boson on 4th July 2012. We report evidence for non-trivial spatio-temporal patterns in user activities at individual and global level, such as tweeting, re-tweeting and replying to existing tweets. We provide a possible explanation for the observed time-varying dynamics of user activities during the spreading of this scientific "rumor". We model the information spreading in the corresponding network of individuals who posted a tweet related to the Higgs boson discovery. Finally, we show that we are able to reproduce the global behavior of about 500,000 individuals with remarkable accuracy.
Key facts. Cited by 22 papers in the map (data through 13 Oct 2026). First posted on arXiv 14 Jan 2013.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2021: 5; 2022: 6; 2023: 6; 2024: 1; 2025: 3; 2026: 1.
22 papers.
Sort:
By area:
- 2021Two-sided fairness in rankings via Lorenz dominancecited by 28
- 2022Optimizing generalized Gini indices for fairness in rankingscited by 13
- 2021Dataset of Fake News Detection and Fact Verification: A Surveycited by 11
- 2024LLM-Based Multi-Agent Systems are Scalable Graph Generative Modelscited by 11
- 2023Adversarial Socialbots Modeling Based on Structural Information Principlescited by 10
- 2022Heterogeneous Peer Effects in the Linear Threshold Modelcited by 5
- 2021Updating Embeddings for Dynamic Knowledge Graphscited by 4
- 2023A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infectioncited by 4
- 2022Learnability of Competitive Threshold Modelscited by 2
- 2023Consumer-side Fairness in Recommender Systems: A Systematic Survey of Methods and Evaluationcited by 2
- 2025Understanding GNNs and Homophily in Dynamic Node Classificationcited by 2
- 2022Systematic assessment of the quality of fit of the stochastic block model for empirical networkscited by 1
10 more
- 2022GraphTune: A Learning-based Graph Generative Model with Tunable Structural Featurescited by 1
- 2022Social-Inverse: Inverse Decision-making of Social Contagion Management with Task Migrationscited by 1
- 2023CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task Learningcited by 1
- 2025Heterogeneous Influence Maximization in User Recommendationcited by 1
- 2021SOK: Fake News Outbreak 2021: Can We Stop the Viral Spread?cited by 0
- 2021WalkingTime: Dynamic Graph Embedding Using Temporal-Topological Flowscited by 0
- 2023Audience Expansion for Multi-show Release Based on an Edge-prompted Heterogeneous Graph Networkcited by 0
- 2023An Accurate Graph Generative Model with Tunable Featurescited by 0
- 2025An Analytical Emotion Framework of Rumour Threads on Social Mediacited by 0
- 2026Embedding Learning on Multiplex Networks for Link Predictioncited by 0
- 2026Embedding Learning on Multiplex Networks for Link Prediction2 Feb 2026
- 2025Heterogeneous Influence Maximization in User Recommendation19 Aug 2025
- 2025Understanding GNNs and Homophily in Dynamic Node Classification29 Apr 2025
- 2025An Analytical Emotion Framework of Rumour Threads on Social Media23 Feb 2025
- 2024LLM-Based Multi-Agent Systems are Scalable Graph Generative Models13 Oct 2024
- 2023Adversarial Socialbots Modeling Based on Structural Information Principles13 Dec 2023
- 2023CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task Learning9 Sep 2023
- 2023An Accurate Graph Generative Model with Tunable Features3 Sep 2023
- 2023A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infection17 Jul 2023
- 2023Consumer-side Fairness in Recommender Systems: A Systematic Survey of Methods and Evaluation16 May 2023
- 2023Audience Expansion for Multi-show Release Based on an Edge-prompted Heterogeneous Graph Network8 Apr 2023
- 2022Social-Inverse: Inverse Decision-making of Social Contagion Management with Task Migrations21 Sep 2022
10 more
- 2022Learnability of Competitive Threshold Models8 May 2022
- 2022Optimizing generalized Gini indices for fairness in rankings2 Apr 2022
- 2022GraphTune: A Learning-based Graph Generative Model with Tunable Structural Features27 Jan 2022
- 2022Heterogeneous Peer Effects in the Linear Threshold Model27 Jan 2022
- 2022Systematic assessment of the quality of fit of the stochastic block model for empirical networks5 Jan 2022
- 2021WalkingTime: Dynamic Graph Embedding Using Temporal-Topological Flows22 Nov 2021
- 2021Dataset of Fake News Detection and Fact Verification: A Survey5 Nov 2021
- 2021Two-sided fairness in rankings via Lorenz dominance28 Oct 2021
- 2021Updating Embeddings for Dynamic Knowledge Graphs22 Sep 2021
- 2021SOK: Fake News Outbreak 2021: Can We Stop the Viral Spread?22 May 2021
- 2021Two-sided fairness in rankings via Lorenz dominancecited by 28
- 2022Optimizing generalized Gini indices for fairness in rankingscited by 13
- 2021Dataset of Fake News Detection and Fact Verification: A Surveycited by 11
- 2023Adversarial Socialbots Modeling Based on Structural Information Principlescited by 10
- 2022Heterogeneous Peer Effects in the Linear Threshold Modelcited by 5
- 2021Updating Embeddings for Dynamic Knowledge Graphscited by 4
- 2023A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infectioncited by 4
- 2022Learnability of Competitive Threshold Modelscited by 2
- 2023Consumer-side Fairness in Recommender Systems: A Systematic Survey of Methods and Evaluationcited by 2
- 2025Understanding GNNs and Homophily in Dynamic Node Classificationcited by 2
- 2022Systematic assessment of the quality of fit of the stochastic block model for empirical networkscited by 1
- 2022GraphTune: A Learning-based Graph Generative Model with Tunable Structural Featurescited by 1
12 most cited of 21 All 21 (JSON)
- 2026Embedding Learning on Multiplex Networks for Link Prediction2 Feb 2026
- 2025Heterogeneous Influence Maximization in User Recommendation19 Aug 2025
- 2025Understanding GNNs and Homophily in Dynamic Node Classification29 Apr 2025
- 2025An Analytical Emotion Framework of Rumour Threads on Social Media23 Feb 2025
- 2023Adversarial Socialbots Modeling Based on Structural Information Principles13 Dec 2023
- 2023CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task Learning9 Sep 2023
- 2023An Accurate Graph Generative Model with Tunable Features3 Sep 2023
- 2023A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infection17 Jul 2023
- 2023Consumer-side Fairness in Recommender Systems: A Systematic Survey of Methods and Evaluation16 May 2023
- 2023Audience Expansion for Multi-show Release Based on an Edge-prompted Heterogeneous Graph Network8 Apr 2023
- 2022Social-Inverse: Inverse Decision-making of Social Contagion Management with Task Migrations21 Sep 2022
- 2022Learnability of Competitive Threshold Models8 May 2022
12 newest of 21 All 21 (JSON)