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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  
Micro-models hold the ability to predict diffusion processes, unfortunately, most of these models ignore the important fact that information diffusion fundamentally is a temporal dynamic process.  ...  By introducing time series into the payoff calculation, the proposed model has the capability to predict the temporal dynamics of the information diffusion process.  ... 
doi:10.1109/tkde.2017.2702162 fatcat:onrofzlsabdrnmteddaenfgnzm

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  
Micro-models hold the ability to predict diffusion processes, unfortunately, most of these models ignore the important fact that information diffusion fundamentally is a temporal dynamic process.  ...  By introducing time series into the payoff calculation, the proposed model has the capability to predict the temporal dynamics of the information diffusion process.  ... 
doi:10.1145/2505515.2507823 dblp:conf/cikm/LiXLLGSLHC13 fatcat:o6nzipz45je2bovgbdexrm3rky

Diffusive Logistic Model Towards Predicting Information Diffusion in Online Social Networks

Feng Wang, Haiyan Wang, Kuai Xu
2012 2012 32nd International Conference on Distributed Computing Systems Workshops  
Our experiment results show that the DL model is able to characterize and predict the process of information propagation in online social networks.  ...  Most of prior work either carried out empirical studies or focus on the information diffusion modeling in temporal dimension, little attempt has been given on understanding information diffusion over both  ...  ACKNOWLEDGMENT We would like to thank Kristina Lerman for making the Digg 2009 data set available to our research project.  ... 
doi:10.1109/icdcsw.2012.16 dblp:conf/icdcsw/WangWX12 fatcat:mcjezn53pbcazno2tckkp53mnm

Diffusive Logistic Model Towards Predicting Information Diffusion in Online Social Networks [article]

Feng Wang, Haiyan Wang, Kuai Xu
2011 arXiv   pre-print
For example, for the most popular news with 24,099 votes in Digg, the average prediction accuracy of DL model over all distances during the first 6 hours is 92.08%.  ...  Many prior work have carried out empirical studies and proposed diffusion models to understand the information diffusion process in online social networks.  ...  temporal and spatial patterns of information diffusion over online social networks.  ... 
arXiv:1108.0442v1 fatcat:a6fbfgomfzb6lf67zkgsxwu5he

Characterizing Information Diffusion in Online Social Networks with Linear Diffusive Model

Feng Wang, Haiyan Wang, Kuai Xu, Jianhong Wu, Xiaohua Jia
2013 2013 IEEE 33rd International Conference on Distributed Computing Systems  
Mathematical modeling is an important approach to study information diffusion in online social networks. Prior studies have focused on the modeling of the temporal aspect of information diffusion.  ...  A recent effort introduced the spatiotemporal diffusion problem and addressed the problem with a theoretical framework built on the similarity between information propagation in online social networks  ...  This supports the predictability of spatio-temporal information diffusion dynamics.  ... 
doi:10.1109/icdcs.2013.14 dblp:conf/icdcs/WangWXWJ13 fatcat:oahjigipircb5nnjtli3wpo5fe

Advancement from Topic based to Information based Model: A Survey

Jyoti Dua, Prashant Shukla
2015 International Journal of Computer Applications  
topic detection to information diffusion modeling, containing prominent diffuser's identification.  ...  The aim of this paper is to provide an extensive analysis of prevailing efforts around information diffusion in social networks is the aim of the paper.  ...  The temporal dynamic is the number of nodes that accepts the part of information over time called as diffusion rate.  ... 
doi:10.5120/21578-4643 fatcat:lxdkdiibt5e6xfzvrtzmogotv4

Social network user influence sense-making and dynamics prediction

Jingxuan Li, Wei Peng, Tao Li, Tong Sun, Qianmu Li, Jian Xu
2014 Expert systems with applications  
We propose a dynamic information propagation model based on Continuous-Time Markov Process to predict the influence dynamics of social network users, where the nodes in the propagation sequences are the  ...  In addition, most of the developed algorithms and tools are mainly dependent on the static network structure instead of the dynamic diffusion process over the network, and are thus essentially based on  ...  To address the second limitation, we propose a dynamic information diffusion model based on the Continuous-Time Markov Process (CTMP) to predict the influence dynamics of social network users.  ... 
doi:10.1016/j.eswa.2014.02.038 fatcat:iickiw6g3ngsdfjynuxsr72kja

Social Network User Influence Dynamics Prediction [chapter]

Jingxuan Li, Wei Peng, Tao Li, Tong Sun
2013 Lecture Notes in Computer Science  
In this paper, we propose a dynamic information propagation model based on Continuous-Time Markov Process to predict the influence dynamics of social network users, where the nodes in the propagation sequences  ...  Most of the developed algorithms and tools are mainly dependent on the static network structure instead of the dynamic diffusion process over the network, and are thus essentially based on descriptive  ...  In particular, To address the limitation, we propose a dynamic information diffusion model based on Continuous-Time Markov Process (CTMP) to predict the influence dynamics of social network users.  ... 
doi:10.1007/978-3-642-37401-2_32 fatcat:ar3wqqpyvngkbe37vzsmiyxjle

Predicting the Temporal Dynamics of Information Diffusion in Social Networks [article]

Adrien Guille, Hakim Hacid, Cécile Favre
2013 arXiv   pre-print
In this paper we address the issue of predicting the temporal dynamics of the information diffusion process.  ...  observed in online social networks.  ...  predict the degree of adoption of such information in the provided social network for a given period of time, i.e. the temporal patterns of the dynamics?  ... 
arXiv:1302.5235v2 fatcat:5saoviqrxjendldd4gjejab6vu

Information diffusion in online social networks

Adrien Guille
2013 Proceedings of the 2013 Sigmod/PODS Ph.D. symposium on PhD symposium - SIGMOD'13 PhD Symposium  
So far, our contributions are the following: (i) a survey of developments in the field; (ii) T-BaSIC, a graph-based model for information diffusion prediction; (iii) SONDY, an open source platform that  ...  Online social networks play a major role in the spread of information at very large scale and it becomes essential to provide means to analyze this phenomenon.  ...  In section 3, we introduce T-BaSIC, a predictive model for information diffusion. Section 4 describes SONDY, an open source platform for social dynamics mining and analysis.  ... 
doi:10.1145/2483574.2483575 dblp:conf/sigmod/Guille13 fatcat:htlwhtlifbci3gvdgagbe3lpf4

Information Diffusion Temporal Dynamic Prediction in Microblog System Based On User Influence Learning

Kechen Zhuang, Fawang Han, Haibo Shen, Kun Zhang, Hong Zhang
2016 International Journal of Hybrid Information Technology  
In this research, a novel graphbased cascades construct algorithm is proposed, with which we build a prediction model for future information diffusion dynamics.  ...  Information diffusion in online social network especially in microblog system, can largely affect the public opinion and even the development of events, so the prediction of the future dynamics of diffusion  ...  Acknowledgements The work was sponsored by "The Fundamental Research Funds for the Central  ... 
doi:10.14257/ijhit.2016.9.6.29 fatcat:x7vcicrmlffabifrwxswtoviua

Who is next: rising star prediction via diffusion of user interest in social networks [article]

Xuan Yang, Yang Yang, Jintao Su, Yifei Sun, Shen Fan, Zhongyao Wang, Jun Zhang, Jingmin Chen
2022 arXiv   pre-print
To address above challenges, in this paper, we observe that the presence of rising stars is closely correlated with the early diffusion of user interest in social networks, which is validated in the case  ...  Thus, we propose a novel framework, RiseNet, to incorporate the user interest diffusion process with the item dynamic features to effectively predict rising stars.  ...  However, most of these works analyse user interest information by exacting several features from their social media content and ignore the dynamic information in user social network.  ... 
arXiv:2203.14807v2 fatcat:ah4i5bdct5hxfdzqvjazh5ce2u

Community Level Diffusion Extraction

Zhiting Hu, Junjie Yao, Bin Cui, Eric Xing
2015 Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data - SIGMOD '15  
Our method guarantees high scalability with increasing data size. 1 Weak social ties are responsible for the majority of the information spreading through human networks.  ...  ., COmmunity Level Diffusion (COLD), to uncover and explore temporal diffusion. We model topics and communities in a unified latent framework, and extract inter-community influence dynamics.  ...  DIFFUSION PREDICTION & ANALYSIS Modeling information diffusion at community level can provide insights into social dynamics at a brand new granularity.  ... 
doi:10.1145/2723372.2723737 dblp:conf/sigmod/HuYCX15 fatcat:e73jxvicovdz5ecmgl3et44tei

Predicting Information Diffusion Initiated from Multiple Sources in Online Social Networks

Chuan Peng, Kuai Xu, Feng Wang, Haiyan Wang
2013 2013 Sixth International Symposium on Computational Intelligence and Design  
A number of prior studies apply mathematical approaches to characterize and model the complex dynamics of information dissemination, also called information diffusion over online social networks.  ...  In recent years, online social networks such as Twitter and Facebook have become a major channel for information dissemination and communication.  ...  diffusion over online social networks.  ... 
doi:10.1109/iscid.2013.138 fatcat:fxfh43pkh5e5jb3wpvh4wvi7f4

Dynamical Modeling, Analysis, and Control of Information Diffusion over Social Networks

Chenquan Gan, Qingyi Zhu, Wei Wang, Jianxin Li
2021 Discrete Dynamics in Nature and Society  
Acknowledgments e editors are very grateful to all of the authors for their outstanding contributions in this field and the reviewers for their valuable comments on the evaluation of the papers during  ...  over social networks.  ...  Although lots of dynamical models describing the behaviors of information diffusion have been proposed, it is still a challenging interdisciplinary task to explain and predict the dynamics of the diffusion  ... 
doi:10.1155/2021/9815653 doaj:8cb6466decf742979e6ce71666e056bf fatcat:awn7withnvcx7bojpve2qhzbqe
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