Complex Spreading Phenomena in Social Systems: Influence and Contagion in Real-World Social Networks - Couverture souple
Livre 15 sur 26: Computational Social Sciences
Synopsis
Part 1: Introduction to spreading in social systems.- Complex contagions: A decade in review.- A simple person's approach to understanding the contagion condition for spreading processes on generalized random networks.- Challenges to estimating contagion effects from observational data.- Part 2: Models and Theories.- Slightly generalized Generalized Contagion: Unifying simple models of biological and social spreading.- Message-passing methods for complex contagions.- Optimal modularity in complex contagion.- Probing empirical contact networks by simulation of spreading dynamics.- Theories for influencer identification in complex networks.- Part 3: Observational studies.- Service adoption spreading in online social networks.- Misinformation spreading on Facebook.- Scalable detection of viral memes from diffusion patterns.- Attention on weak ties in social and communication networks.- Measuring social spam and the effect of bots on information diffusion in social media.- Network happiness: how online social interactions relate to our well being.- Information spreading during emergencies and anomalous events.- Part 4: Controlled studies.- Randomized Experiments to detect and estimate social influence.- The rippling effect of social influence via phone communication network.- Network experiments through academic-industry collaboration.- Spreading in Social Systems: Reflections.
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