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Modeling the Diffusion of Preferences on Social Networks [chapter]

Jing-Kai Lou, Fu-Min Wang, Chin-Hua Tsai, San-Chuan Hung, Perng-Hwa Kung, Shou-De Lin
2013 Proceedings of the 2013 SIAM International Conference on Data Mining  
The information diffusion on social networks has been studied for decades. To simplify the diffusion on social networks, most models consider the propagated information or media as single values.  ...  This paper studies the diffusion of preference on social networks, which is a novel problem to solve in this direction.  ...  of models on the abilities to capture characteristics of real world social networks interactions.  ... 
doi:10.1137/1.9781611972832.67 dblp:conf/sdm/HungKLLTW13 fatcat:xtdtdumit5a2jnh6xyfyocrgaq

Modeling information diffusion over social networks for temporal dynamic prediction

Dong Li, Zhiming Xu, Yishu Luo, Sheng Li, Anika Gupta, Katia Sycara, Shengmei Luo, Lei Hu, Hong Chen
2013 Proceedings of the 22nd ACM international conference on Conference on information & knowledge management - CIKM '13  
Figure 4 illustrates an example of mining the information diffusion cascades based on the social network and the action log.  ...  THE PROPOSED MODEL We propose a novel method for information diffusion modeling through social networks.  ... 
doi:10.1145/2505515.2507823 dblp:conf/cikm/LiXLLGSLHC13 fatcat:o6nzipz45je2bovgbdexrm3rky

Modeling Information Diffusion over Social Networks for Temporal Dynamic Prediction

Dong Li, Shengping Zhang, Xin Sun, Huiyu Zhou, Sheng Li, Xuelong Li
2017 IEEE Transactions on Knowledge and Data Engineering  
Figure 4 illustrates an example of mining the information diffusion cascades based on the social network and the action log.  ...  THE PROPOSED MODEL We propose a novel method for information diffusion modeling through social networks.  ... 
doi:10.1109/tkde.2017.2702162 fatcat:onrofzlsabdrnmteddaenfgnzm

INDIVIDUAL AND SOCIAL EFFECTS ON LINGUISTIC DIFFUSION

TAO GONG, MÓNICA TAMARIZ, GERHARD JÄGER
2012 The Evolution of Language  
Using a Pólya urn based diffusion model, we examine linguistic diffusion in a population of individuals with different types of social networks.  ...  This work shows different diffusion efficiencies of speaker"s and hearer"s preferences for variants, evaluates the effect of individual learning and social factors on linguistic diffusion, and modifies  ...  Acknowledgements Gong is supported by the Society of Scholars in the University of Hong Kong. Tamariz is supported by the UK AHRC Grant AH/F017677/1.  ... 
doi:10.1142/9789814401500_0019 fatcat:5zaxl7zzgrgr7kenwkruurzgci

DyHGCN: A Dynamic Heterogeneous Graph Convolutional Network to Learn Users' Dynamic Preferences for Information Diffusion Prediction [article]

Chunyuan Yuan, Jiacheng Li, Wei Zhou, Yijun Lu, Xiaodan Zhang, Songlin Hu
2020 arXiv   pre-print
For one thing, previous works cannot jointly utilize both the social network and diffusion graph for prediction, which is insufficient to model the complexity of the diffusion process and results in unsatisfactory  ...  Previous works either concentrate on utilizing the context of a single diffusion sequence or using the social network among users for information diffusion prediction.  ...  However, the social network can reflect user preference.  ... 
arXiv:2006.05169v1 fatcat:442shdfz7jb2fgmnp3mezscpoy

Innovation Diffusion of Mobile Applications in Social Networks: A Multi-Agent System

Lixin Zhou, Jie Lin, Yanfeng Li, Zhenyu Zhang
2020 Sustainability  
Therefore, this paper employs multi-agent methods to simulate the innovation diffusion of mobile applications from the perspective of social networks.  ...  We also investigate the impact of different firms' promotion on innovation diffusion.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/su12072884 fatcat:zoktdcwjxrbylfzhlwkml67i6i

SocialGCN: An Efficient Graph Convolutional Network based Model for Social Recommendation [article]

Le Wu, Peijie Sun, Richang Hong, Yanjie Fu, Xiting Wang, Meng Wang
2019 arXiv   pre-print
Based on a classical CF model, the key idea of our proposed model is that we borrow the strengths of GCNs to capture how users' preferences are influenced by the social diffusion process in social networks  ...  However, they only considered the local neighbors of each user and neglected the process that users' preferences are influenced as information diffuses in the social network.  ...  Our model combines the strengths of GCNs for modeling the diffusion process in social networks and the classical latent factor based models for capturing user-item preferences.  ... 
arXiv:1811.02815v2 fatcat:rg7ak7rywfbjxlljcfdrdcvhsa

Will It Spread or Not? The Effects of Social Influences and Network Topology on Innovation Diffusion

Sebastiano A. Delre, Wander Jager, Tammo H. A. Bijmolt, Marco A. Janssen
2010 The Journal of product innovation management  
This model departs from existing percolation models by using more realistic agents (both individual preferences and social influence) and more realistic networks (scale free with cost constraints).  ...  To test the impacts of these factors on innovation diffusion, in particular the occurrence of hits and flops, a new agent-based model for innovation diffusion is introduced.  ...  Right Graph: The Effects of Individual Preferences on the Standard Deviations of the Diffusions Figure 7 : 7 Left Graph: The Interaction Effect of Weighted Networks and Individual Preferences on the  ... 
doi:10.1111/j.1540-5885.2010.00714.x fatcat:nkxtwk6hfvbjnk36cr4jiqwrdm

A Neural Influence Diffusion Model for Social Recommendation [article]

Le Wu, Peijie Sun, Yanjie Fu, Richang Hong, Xiting Wang, Meng Wang
2019 arXiv   pre-print
Nevertheless, the current social recommendation models simply developed static models by leveraging the local neighbors of each user without simulating the recursive diffusion in the global social network  ...  With the emergence of online social networks, social recommender systems have been proposed to utilize each user's local neighbors' preferences to alleviate the data sparsity for better user embedding  ...  preference in the global social network.  ... 
arXiv:1904.10322v1 fatcat:hyo2gnvjznejheoc63hojpor3q

Differential Adaptive Diffusion: Understanding Diversity and Learning Whom to Trust in Viral Marketing

Hossam Sharara, William M. Rand, Lise Getoor
2011 Social Science Research Network  
Existing viral marketing models focus on the dynamics of the diffusion process, however they typically: (a) only consider a single product campaign and (b) fail to model the evolution of the social network  ...  By applying our model to a real-world network extracted from the Digg social news website, we provide insights into the effects of network dynamics on the different products' adoption.  ...  Acknowledgments The authors would like to thank the anonymous reviewers for their valuable feedback. This work was supported by NSF under Grants # IIS-0746930 and IIS-1018361  ... 
doi:10.2139/ssrn.1904693 fatcat:a2jzxfupb5fajjs4tmqendajie

Examining the Diffusion of User-Generated Content in Online Social Networks

Jeongha Oh, Anjana Susarla, Yong Tan
2008 Social Science Research Network  
The tremendous variation in the success of videos posted online and the networked structure of interactions on You Tube lend itself to an inquiry about the role of social influence on content diffusion  ...  Our results are in sharp contrast to earlier models of diffusion such as the Bass model that do not distinguish between different social processes that are responsible for the process of diffusion of content  ...  The questions we seek to answer are: 1. What are the effects of a user's social network structure on the diffusion of You Tube content? 2.  ... 
doi:10.2139/ssrn.1182631 fatcat:rjjpvx6mrvegpjsncfupbcjk2i

Promotion Policies for Electric Vehicle Diffusion in China Considering Dynamic Consumer Preferences: A Network-Based Evolutionary Analysis

Ruguo Fan, Rongkai Chen
2022 International Journal of Environmental Research and Public Health  
In this paper, a network-based evolutionary game model considering dynamic consumer preference is constructed to study EV diffusion.  ...  The simulation results indicate that: (1) The effectiveness of promotion policies is sensitive to the size of the manufacturer network, and large networks can dampen periodical fluctuations in diffusion  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ijerph19095290 pmid:35564685 fatcat:5hflp6dxnnakxfsj2fzymjznhu

A Social Diffusion Model with an Application on Election Simulation

Jing-Kai Lou, Fu-Min Wang, Chin-Hua Tsai, San-Chuan Hung, Perng-Hwa Kung, Shou-De Lin, Kuan-Ta Chen, Chin-Laung Lei
2014 The Scientific World Journal  
To demonstrate the usefulness of our model, we simulate the diffusion on the network built based on a publicly available bibliography dataset.  ...  Previously done models thus may not intuitively interpret such scenario. This work is to design a diffusion model which is capable of managing the aforementioned scenario.  ...  Acknowledgments This work was supported by the National Science Council, National Taiwan University, and Intel Corporation under Grants NSC101-2911-I-002-001, NSC101-2628-E-002-028-MY2, and NTU102R7501  ... 
doi:10.1155/2014/180590 pmid:24995351 pmcid:PMC4068049 fatcat:45ztsfszurbhxgh5seoci7wwbi

DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation [article]

Le Wu, Junwei Li, Peijie Sun, Richang Hong, Yong Ge, Meng Wang
2021 arXiv   pre-print
Early approaches relied on utilizing each user's first-order social neighbors' interests for better user modeling and failed to model the social influence diffusion process from the global social network  ...  Recently, we propose a preliminary work of a neural influence diffusion network (i.e., DiffNet) for social recommendation (Diffnet), which models the recursive social diffusion process to capture the higher-order  ...  With the development of social networks, users build social relationships and share their item preferences on these platforms.  ... 
arXiv:2002.00844v4 fatcat:c3ru4lxozfef7hovzgwojrxqt4

An agent-based model for emotion contagion and competition in online social media

Rui Fan, Ke Xu, Jichang Zhao
2018 Physica A: Statistical Mechanics and its Applications  
Our model would shed lights on the study of multiple issues like forecasting of emotion contagion in terms of computer simulations.  ...  The simulation results indicate that anger-dominated users have higher vitality than joy-dominated ones, and anger prefers weaker ties than joy in diffusion, which could make it easier to spread between  ...  Based on the model, we study the tie-strength preference of different emotions, emotion diffusion and how emotions compete in social network.  ... 
doi:10.1016/j.physa.2017.12.086 fatcat:xaao6l4p7veabie4zz2ywxeqxe
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