Repetitive users network emerges from multiple rumor cascades

• DOI: 10.48550/arxiv.1804.05711
• Publication Date: 2018-01-01
• Authors: Daqing Li; Jiali Gao; Jichang Zhao; Zilong Zhao; Orr Levy; Shlomo Havlin
• Keywords: Rumor; Identification; Blocking (statistics)

Rumor spreading on online social media is presenting a significant threat to society of post-truth epoch. Extensive efforts have been devoted rumor identification and debunking, assuming that specific propagation single event network neglecting possible interdependence between different cascades. Here we study the collective multiple rumors, surprisingly find users repeatedly participate in Though these repetitive demonstrate minor difference at level network, they are found form significantly more intensive collaboration from cascades compared news propagation. The clique-like cluster formed by spreaders can serve as high quality feature for blocking targets prevention. Our findings provide better understanding spread viewing propagations one interacting ecosystem, suggest novel methods distinguishing mitigation based history.