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Describing and Predicting Online Items with Reshare Cascades via Dual Mixture Self-exciting Processes [article]

Quyu Kong, Marian-Andrei Rizoiu, Lexing Xie
2020 arXiv   pre-print
This work addresses these shortcomings by proposing dual mixture self-exciting processes to jointly learn from groups of cascades.  ...  well as methods for predicting the final content popularities.  ...  Access to the RNCNIX dataset was provided courtesy of the Digital Media Research Centre at Queensland University of Technology, and is supported by the Australian Research Council projects FT130100703  ... 
arXiv:2001.11132v2 fatcat:wv3geoed3basvfz7xnks5gb3yq

A Survey of Information Cascade Analysis: Models, Predictions and Recent Advances [article]

Fan Zhou, Xovee Xu, Goce Trajcevski, Kunpeng Zhang
2020 arXiv   pre-print
opportunities to explore and exploit the trajectories and structures of the evolution of information cascades.  ...  This article presents a comprehensive review and categorization of information popularity prediction methods, from feature engineering and stochastic processes, through graph representation, to deep learning-based  ...  ACKNOWLEDGMENTS We thank all doctors, nurses and medical personnel who are on the front line of the war against COVID-19.  ... 
arXiv:2005.11041v2 fatcat:wxn5azl25vhe7pnulkfpehezey

Graph Representation Learning for Popularity Prediction Problem: A Survey [article]

Tiantian Chen, Jianxiong Guo, Weili Wu
2022 arXiv   pre-print
Therefore, it is important to study the mechanisms driving the information diffusion and quantify the consequence of information spread.  ...  In this paper, we present a comprehensive review for existing works using GRL methods for popularity prediction problem, and categorize related literatures into two big classes, according to their mainly  ...  The commonly used models for diffusion process include Poisson process [81] , survival analysis [82] , [83] , self-exciting Hawkes process and Epidemic model [84] , [85] .  ... 
arXiv:2203.07632v1 fatcat:jvgzbmih2fcvvfqdu44nax2qpa

Popularity Prediction of Online Contents via Cascade Graph and Temporal Information

Yingdan Shang, Bin Zhou, Ye Wang, Aiping Li, Kai Chen, Yichen Song, Changjian Lin
2021 Axioms  
Meanwhile, they often overlook the temporal information in the diffusion process which has been proved to be a salient predictor for popularity prediction.  ...  In order to capture the temporal features in the diffusion process, we incorporate the inter-infection duration time information into our model by using LSTM neural network.  ...  Informed Consent Statement: Not applicable. Data Availability Statement: Weibo Dataset used in this study is included in the published articles "DeepHawkes".  ... 
doi:10.3390/axioms10030159 fatcat:lb4sby4s2bcxlifbywiz55saqm

CCGL: Contrastive Cascade Graph Learning [article]

Xovee Xu, Fan Zhou, Kunpeng Zhang, Siyuan Liu
2021 arXiv   pre-print
Second, it learns a generic model for graph cascade tasks via self-supervised contrastive pre-training using both unlabeled and labeled data.  ...  In this work, we present Contrastive Cascade Graph Learning (CCGL), a novel framework for cascade graph representation learning in a contrastive, self-supervised, and task-agnostic way.  ...  The implementation used is: • DeepHawkes [4] model predicts the popularity of information cascades by combining Hawkes self-exciting process with deep learning techniques  ... 
arXiv:2107.12576v1 fatcat:kb3si37j65gntar64i63aq7hzi

Universal Components of Real-world Diffusion Dynamics based on Point Processes [article]

Minkyoung Kim and Raja Jurdak and Dean Paini
2017 arXiv   pre-print
Bursty behavior in the real world conveys information of underlying diffusion processes, which have been the focus of diverse scientific communities from online social media to criminology and epidemiology  ...  Here, we introduce a wide range of diffusion processes across disciplines and propose universal components of diffusion frameworks.  ...  Regardless of such time-varying intensity of nonhomogeneous Poisson processes, the self-exciting nature of point events is ignored due to the property of statistical independence of interevent times, and  ... 
arXiv:1706.06282v2 fatcat:zpr72gg4zjbprl2s4hcdc2mo4q

Efficient Non-parametric Bayesian Hawkes Processes [article]

Rui Zhang, Christian Walder, Marian-Andrei Rizoiu, Lexing Xie
2022 arXiv   pre-print
On two large-scale Twitter diffusion datasets, we show that our methods outperform the current state-of-the-art in goodness-of-fit and that the time complexity is linear in the size of the dataset.  ...  In this paper, we develop an efficient nonparametric Bayesian estimation of the kernel function of Hawkes processes.  ...  Acknowledgements This research was supported in part by the Australian Government through the Australian Research Council's Discovery Projects funding scheme (project DP180101985).  ... 
arXiv:1810.03730v5 fatcat:t2chuo532regval6ysmhsbrt3m

Recurrent spatio-temporal modeling of check-ins in location-based social networks

Ali Zarezade, Sina Jafarzadeh, Hamid R. Rabiee, Dejing Dou
2018 PLoS ONE  
Leveraging these two observations, we propose a probabilistic model based on a doubly stochastic point process with a periodicdecaying kernel for the time of check-ins and a time-varying multinomial distribution  ...  Modeling the spatio-temporal behavior of users in social networks is of great importance for predicting the future behavior of users, controlling the users' movements, and finding the latent influence  ...  This is in contrast to the self-exciting nature of the Hawkes process, which is used to model the diffusion of information over a network [14, 15, 17] .  ... 
doi:10.1371/journal.pone.0197683 pmid:29791463 pmcid:PMC5965852 fatcat:62hepyummrgr3hvjovofjt42sm

A synthetic biology challenge: making cells compute

Cheemeng Tan, Hao Song, Jarad Niemi, Lingchong You
2007 Molecular Biosystems  
Advances in biology and engineering have enabled the reprogramming of cells with well-defined functions, leading to the emergence of synthetic biology.  ...  We conclude with discussion of challenges involved in a typical design cycle, as well as those specific to cellular computation.  ...  Acknowledgements We thank Mike West, John Pearson, and anonymous reviewers for critical reading of the manuscript and helpful discussions.  ... 
doi:10.1039/b618473c pmid:17460793 fatcat:2pjk3znetzh65gi5tax65ln3qm

Influence analysis: A survey of the state-of-the-art

Meng Han, Yingshu Li
2018 Mathematical Foundations of Computing  
First, we review the development process of influence analysis in social networks based on several basic conceptions and features in a social aspect. Then the online social networks are discussed.  ...  At last, we point out the research challenges and opportunities in this area for both industry and academia reference. Figure 2. A Social Network. reached through Patricia.  ...  Influence is the natural product of information diffusion (or propagation) which is one of the fundamental processes taking place in social networks.  ... 
doi:10.3934/mfc.2018010 fatcat:n2vnokuivbbdjjuptgyzurhceu

A Survey on Information Diffusion in Online Social Networks: Models and Methods

2017 Information  
From this diffusion process, lots of latent information can be mined. It can be used for market predicting, rumor controlling, and opinion monitoring among other things.  ...  From a research process view, we divide the diffusion models into two categories-explanatory models and predictive models-in which the former includes epidemics and influence models and the latter includes  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/info8040118 fatcat:2wfp6uomnjg5bekiouqhacnzpm

Online Social Deception and Its Countermeasures for Trustworthy Cyberspace: A Survey [article]

Zhen Guo, Jin-Hee Cho, Ing-Ray Chen, Srijan Sengupta, Michin Hong, Tanushree Mitra
2020 arXiv   pre-print
Cyber attackers have exploited the sophisticated features of SNSs to carry out harmful OSD activities, such as financial fraud, privacy threat, or sexual/labor exploitation.  ...  We conclude this survey paper with an in-depth discussions on the limitations of the state-of-the-art and recommend future research directions in this area.  ...  The diffusion models are SIR (Susceptible-Infected-Recovered/Removed), Tipping Point, Independent Cascade, and Linear Threshold model.  ... 
arXiv:2004.07678v1 fatcat:k4a6siywefb6lhkmyn67lmoqwe

A Survey on Practical Applications of Multi-Armed and Contextual Bandits [article]

Djallel Bouneffouf, Irina Rish
2019 arXiv   pre-print
In recent years, multi-armed bandit (MAB) framework has attracted a lot of attention in various applications, from recommender systems and information retrieval to healthcare and finance, due to its stellar  ...  Furthermore, we identify important current trends and provide new perspectives pertaining to the future of this exciting and fast-growing field.  ...  Information Retrieval Authors in [Losada et al., 2017] argue that Information Retrieval iterative selection process can be naturally modeled as a contextual bandit problem.  ... 
arXiv:1904.10040v1 fatcat:j6v37wy7f5bmvpfzzhtnutbeoa

Machine Learning Methods in CFD for Turbomachinery: A Review

James Hammond, Nick Pepper, Francesco Montomoli, Vittorio Michelassi
2022 International Journal of Turbomachinery, Propulsion and Power  
This paper illustrates recent developments in CFD for turbomachinery which make use of machine learning techniques to augment prediction accuracy, speed up prediction times, analyse and manage uncertainty  ...  In some cases, such as the design point performance of the axial compressor, current methods are capable of delivering good predictive accuracy.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ijtpp7020016 fatcat:qilk5yhhqndl3nlbwpmu4ropxa

Very High Energy Photons in Universe [article]

F.A. Aharonian
1997 arXiv   pre-print
I discuss the recent exciting results of discovery of TeV photons from several galactic and extragalactic sources, and highlight some objectives of VHE gamma ray astronomy that can be achieved in the near  ...  future by means of new generation ground-based detectors.  ...  Acknowledgments The invitation of the organizers of the XVIII International Symposium on "Lepton-Photon Interactions" is greatly appreciated.  ... 
arXiv:astro-ph/9712089v1 fatcat:dmdvs63uh5bafjlvvbn7qie5uu
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