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Optimal Network Modularity for Information Diffusion

Azadeh Nematzadeh, Emilio Ferrara, Alessandro Flammini, Yong-Yeol Ahn
2014 Physical Review Letters  
We investigate the impact of community structure on information diffusion with the linear threshold model.  ...  Our results demonstrate that modular structure may have counter-intuitive effects on information diffusion when social reinforcement is present.  ...  Since information spreads through social contacts, the structure of the underlying social network is a crucial ingredient in modeling information diffusion.  ... 
doi:10.1103/physrevlett.113.088701 pmid:25192129 fatcat:hs7hqlkevbd4ri3lsxtbwtnaai

Predicting User Retweeting Behavior in Social Networks with a Novel Ensemble Learning Approach

Long Chen, Huifang Deng
2020 IEEE Access  
improve the performance of predicting user retweeting behavior occurring in the process of information diffusion in social networks.  ...  INDEX TERMS Information diffusion, retweet prediction, ensemble learning, online social networks, user diffusion behavior.  ...  the process of information diffusion in online social networks.  ... 
doi:10.1109/access.2020.3015397 fatcat:fprvm2ufxbdmbjtougc7fvvzx4

Interaction-based HPC modeling of social, biological, and economic contagions over large networks

Keith Bisset, Jiangzhuo Chen, Chris J. Kuhlman, V. S. Anil Kumar, Madhav V. Marathe
2011 Proceedings of the 2011 Winter Simulation Conference (WSC)  
Modeling large-scale stochastic systems of heterogeneous individuals and their interactions, where multiple behaviors and contagions co-evolve with multiple interaction networks, requires high performance  ...  We present graph dynamical systems as a formalism to reason about network dynamics and list phenomena from several application domains that have been modeled as graph dynamical systems to demonstrate its  ...  ACKNOWLEDGMENTS We thank our external collaborators and members of the Network Dynamics and Simulation Science Laboratory (NDSSL) for their suggestions and comments.  ... 
doi:10.1109/wsc.2011.6147996 dblp:conf/wsc/BissetCKKM11 fatcat:uiucfwzxjfdu3bvttbn4yi5iti

Non-Conservative Diffusion and its Application to Social Network Analysis [article]

Rumi Ghosh, Kristina Lerman, Tawan Surachawala, Konstantin Voevodski, Shang-Hua Teng
2011 arXiv   pre-print
We argue that unlike a random walk, which conserves the quantity diffusing on a network, many interesting social phenomena, such as the spread of information or disease on a social network, are fundamentally  ...  We give a scalable approximate algorithm for computing the Alpha-Centrality in a massive graph. We validate our approach on real-world online social networks of Digg.  ...  The rise of online social networks has allowed researchers to trace the flow of information through social links on a massive scale.  ... 
arXiv:1102.4639v3 fatcat:y4jkhzuktrg5fcsgu775dt2lpm

Information Diffusion Model and Hadoop Implementation Research on Online Social Network

Hong-song CHEN, Yue HU
2017 DEStech Transactions on Computer Science and Engineering  
One major challenge for social network research is how to build information diffusion model to describe the complex information diffusion model.  ...  Social networks are currently gotten increasing focus with the growth of online social network services, such as Facebook, Sina Weibo.  ...  It can not accurately describe bursting information diffusion in online social network. New information diffusion model should be proposed to solve the problem.  ... 
doi:10.12783/dtcse/cmee2016/5346 fatcat:2syvhxp7jvdh3od7su7j5nb5sa

Informative and Normative Effects Using a Selective Advertisement

Setsuya KURAHASHI, Muneyoshi SAITO
2013 SICE Journal of Control Measurement and System Integration  
An agent-based model of diffusion is proposed on an online social network which have both "scale-free" and "regular" properties.  ...  This paper shows that it is inadequate to think that opinion leaders only adopt a product and transmit the information of usability impressions to other consumers in order to trigger diffusion on online  ...  Influences of Informative Effect and Normative Effect The influences of the informative effect and the normative effect on diffusion in online human-relationship networks were examined based on Eq. (2)  ... 
doi:10.9746/jcmsi.6.76 fatcat:lypiqb6q4bflphbksnzuzt2spq

Trust Calculation with Ant Colony Optimization in Online Social Networks

Shashvat Sanadhya, Shailendra Singh
2015 Procedia Computer Science  
Hence we are proposing an algorithm (Trust-ACO) to calculate trust in online social network. Trust calculation is based on probabilistic trust rule, social intimacy pheromone.  ...  Real world lives in the 'Aeon' of virtual connectivity; social network is a platform where people share emotions, activities, relation etc.  ...  Online social network always attract to participant to share variety of rich activities.  ... 
doi:10.1016/j.procs.2015.06.021 fatcat:ti5lc2xl3nd6fnvqqxepr6kybq

Finding Critical Nodes for Inhibiting Diffusion of Complex Contagions in Social Networks [chapter]

Chris J. Kuhlman, V. S. Anil Kumar, Madhav V. Marathe, S. S. Ravi, Daniel J. Rosenkrantz
2010 Lecture Notes in Computer Science  
Our results show that the heuristics perform well on the three social networks.  ...  We study the problem of inhibiting diffusion of complex contagions such as rumors, undesirable fads and mob behavior in social networks by removing a small number of nodes (called critical nodes) from  ...  With respect to diffusion in social networks, researchers have studied the propagation of favorite photographs in a Flickr network [6] , the spread of information [16, 23] via Internet communication  ... 
doi:10.1007/978-3-642-15883-4_8 fatcat:fyp25nuwfrenzbjyvagz75ng6e

Social Network Fusion and Mining: A Survey [article]

Jiawei Zhang
2018 arXiv   pre-print
Generally, the information available in these online social networks is of diverse categories, which can be represented as heterogeneous social networks (HSN) formally.  ...  Looking from a global perspective, the landscape of online social networks is highly fragmented.  ...  In this subsection, we will introduce the epidemic diffusion models, and try to use them to model the diffusion of information in the online social networks.  ... 
arXiv:1804.09874v4 fatcat:dc2mj26i6reu5dy76vjk3qmjh4

Limited Attention and Centrality in Social Networks

K. Lerman, P. Jain, R. Ghosh, Jeon-Hyung Kang, P. Kumaraguru
2013 2013 International Conference on Social Intelligence and Technology  
How does one find important or influential people in an online social network?  ...  We propose a new measure of centrality -limited-attention version of Bonacich's Alpha-centrality -that models the effect of limited attention on epidemic diffusion.  ...  Conclusion Information flow in social networks, including online networks, is often modeled as an epidemic process, suggesting that centrality measures based on epidemics are appropriate for predicting  ... 
doi:10.1109/society.2013.11 dblp:conf/society/LermanJGKK13 fatcat:frwnhuhwrjg4tfjc3tmson4c6y

Modelling of information diffusion on social networks with applications to WeChat

Liang Liu, Bo Qu, Bin Chen, Alan Hanjalic, Huijuan Wang
2018 Physica A: Statistical Mechanics and its Applications  
the information diffusion process on social networks.  ...  From an online social network like WeChat, we could collect a large number of information cascade trees, each of which tells the spreading trajectory of a message/information such as which user creates  ...  Acknowledgements The authors would like to thank Lingnan He (The School of Communication and Design, Sun Yat-sen University) and Yichong Bai (Fibonacci Consulting Co.  ... 
doi:10.1016/j.physa.2017.12.026 fatcat:c6dks7csarfvraoftztwnf2sae

Echo chambers and viral misinformation: Modeling fake news as complex contagion

Petter Törnberg, Chris T. Bauch
2018 PLoS ONE  
The echo chambers effect likely comes from that they form the initial bandwagon for diffusion. These findings have implication for the study of the media logic of new social media.  ...  opinion and network polarization on the virality of misinformation.  ...  Acknowledgments This project has received funding from the European Union's Horizon 2020 research and innovation programme project ODYCCEUS (grant agreement n˚732942).  ... 
doi:10.1371/journal.pone.0203958 pmid:30235239 pmcid:PMC6147442 fatcat:aif7rlpp4fg4zdiuxrxrec2yam

The research on propagation modeling and governance strategies of online rumors based on behavior–attitude

Hailiang Chen, Chuan Ai, Bin Chen, Yong Zhao, Kaisheng Lai, Lingnan He, Zhihan Liu
2021 Internet Research  
Combined with the model, the definition of diffusion domain is proposed and a novel immunization strategy, namely GIS, is designed, which is significant for the social governance of rumor propagation.  ...  Based on the analysis and research of online data, we propose a rumor propagation model, namely the Untouched view transmit removed-Susceptible hesitate agree disagree (Unite-Shad), and devise an immunization  ...  Consequently, advanced information technology significantly enhances the information exchange in the social network, but it also promotes the propagation of rumors.  ... 
doi:10.1108/intr-08-2020-0480 fatcat:dulvkn5d5vcpngw76kgbxteism

Using Ego Network Data to Inform Agent-based Models of Diffusion

Jeffrey A. Smith, Jessica Burow
2018 Sociological Methods & Research  
We provide a test of the approach using six complete networks; the test also includes a range of diffusion models (where actors follow different rules of adoption).  ...  We then run a diffusion model through the known, complete networks, as well as the inferred networks, and compare the results.  ...  Acknowledgments - The authors would like to thank Robin Gauthier and Jennifer Clarke for their helpful comments on earlier versions of this article.  ... 
doi:10.1177/0049124118769100 fatcat:mdlzs7icpjc3phadzvtlcgt3l4

Exploiting social circle broadness for influential spreaders identification in social networks

Senzhang Wang, Fang Wang, Yan Chen, Chunyang Liu, Zhoujun Li, Xiaoming Zhang
2014 World wide web (Bussum)  
Preliminary experiments on a coauthor dataset demonstrate the effectiveness of social circle broadness in information diffusion.  ...  Influential spreaders identification in social networks contributes to optimize the use of available resources and ensure the more efficient spread of information.  ...  Introduction The increasing popularity of online social network has greatly improved the communication and information sharing between users.  ... 
doi:10.1007/s11280-014-0277-1 fatcat:o4geeswmobclzlrydkubdtifdi
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