Results 11 to 20 of about 11,607,572 (305)
Information cascade on networks [PDF]
Physica A: Statistical Mechanics and its Applications, 2015 In this paper, we discuss a voting model by considering three different kinds of networks: a random graph, the Barabasi–Albert (BA) model, and a fitness model. A voting model represents the way in which public perceptions are conveyed to voters.
M. Hisakado, S. Mori
semanticscholar +6 more sources
Information-thermodynamic bound on information flow in turbulent cascade
Physical Review ResearchWe investigate the nature of information flow in turbulence from an information-thermodynamic viewpoint. For the fully developed three-dimensional fluid turbulence described by the fluctuating Navier-Stokes equation, we prove that information of large ...
Tomohiro Tanogami, Ryo Araki
doaj +3 more sources
Information Cascades and the Collapse of Cooperation [PDF]
Scientific Reports, 2020 AbstractIn various types of structured communities newcomers choose their interaction partners by selecting a role-model and copying their social networks. Participants in these networks may be cooperators who contribute to the prosperity of the community, or cheaters who do not and simply exploit the cooperators.
Yang, Guoli +4 more
openaire +7 more sources
Informational cascades: A mirage? [PDF]
Journal of Economic Behavior & Organization, 2008 Abstract Experimental research found contradictory results regarding the occurrence of informational cascades. Whereas Anderson and Holt [Anderson, L.R., Holt, C.A., 1997. Information cascades in the laboratory. The American Economic Review 87, 847–862] confirmed the model of Banerjee [Banerjee, A.V., 1992. A simple model of herd behavior.
Spiwoks, Markus +2 more
openaire +3 more sources
Deep Collaborative Embedding for information cascade prediction [PDF]
Knowledge-Based Systems, 2020 Recently, information cascade prediction has attracted increasing interest from researchers, but it is far from being well solved partly due to the three defects of the existing works.
Yuhui Zhao +3 more
semanticscholar +1 more source
Predicting the Popularity of Information on Social Platforms without Underlying Network Structure
Entropy, 2023 The ability to predict the size of information cascades in online social networks is crucial for various applications, including decision-making and viral marketing.
Leilei Wu +3 more
doaj +1 more source
Mathematics, 2023 The viral spread of online content can lead to unexpected consequences such as extreme opinions about a brand or consumers’ enthusiasm for a product.
Zhixuan Xu, Minghui Qian
doaj +1 more source
Decoupling Representation and Regressor for Long-Tailed Information Cascade Prediction
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021 Effectively predicting the size of information cascades is crucial for understanding the evolution of many social applications, such as influence maximization and fake news detection.
Fan Zhou +3 more
semanticscholar +1 more source
A cascade information diffusion prediction model integrating topic features and cross-attention
Journal of King Saud University: Computer and Information Sciences, 2023 Information cascade prediction is a crucial task in social network analysis. However, previous research has only focused on the impact of social relationships on cascade information diffusion, while ignoring the differences caused by the characteristics ...
Xiaoyang Liu +2 more
doaj +1 more source
LDA-DeepHawkes Model for Predicting Information Cascade
Jisuanji kexue yu tansuo, 2020 It is an important research point of social network analysis to predict future propagation range of infor-mation based on its early propagation characteristics.
WANG Shijie, ZHOU Lihua, KONG Bing, ZHOU Junhua
doaj +1 more source