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Mathematical and computational approaches to epidemic modeling： a comprehensive review

Frontiers of Computer Science 2015年第5期9卷 806-826页

作者： Wei DUAN Zongchen FAN Peng ZHANG Gang GUO Xiaogang QIU Center of Computational Experiments and Parallel Systems Technology College of Information Systems and Management National University of Defense Technology Chang sha 410073 China

Mathematical and computational approaches are important tools for understanding epidemic spread patterns and evaluating policies of disease control. In recent years, epidemiology has become increasingly integrated with mathematics, sociology, management science, complexity science, and computer science. The cross of multiple disciplines has caused rapid development of mathematical and computational approaches to epidemic modeling. In this article, we carry out a comprehensive review of epidemic models to provide an insight into the literature of epidemic modeling and *** introduce major epidemic models in three directions, including mathematical models, complex network models, and agent-based models. We discuss the principles, applications, advantages, and limitations of these models. Meanwhile, we also propose some future research directions in epidemic modeling.

关键词： mathematics complex networks agent-basedmodels epidemic modeling human dynamics infectious diseases

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Fostering artificial societies using social learning and social control in parallel emergency management systems

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Frontiers of Computer Science 2012年第5期6卷 604-610页

作者： Wei DUAN Xiaogang QIU Research Center of Military Computational Experiments and Parallel Systems Technology College of Mechatronics Engineering and AutomationNational University of Defense TechnologyChangsha 410073China

How can we foster and grow artificial societies so as to cause social properties to emerge that are logical, consistent with real societies, and are expected by design- ers？ We propose a framework for fostering artificial soci- eties using social learning mechanisms and social control ap- proaches. We present the application of fostering artificial so- cieties in parallel emergency management systems. Then we discuss social learning mechanisms in artificial societies, in- cluding observational learning, reinforcement learning, imi- tation learning, and advice-based learning. Furthermore, we discuss social control approaches, including social norms, social policies, social reputations, social commitments, and sanctions.

关键词： artificial societies social computing social learning social control agent-based simulation

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Heterogeneous individual-based epidemic models via matrix equations

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IEEE/CAA Journal of Automatica Sinica 2023年 1-12页

作者： Duan, Wei Qiu, Xiaogang Research Center of Computational Experiments and Parallel System Technology College of Information Systems and Management National University of Defense Technology Changsha 410073 China

Heterogeneity in human societies plays an important role in epidemic spreading process. Compared to differential equation models, individual-based epidemic models have the advantage of providing a more detailed depiction of realities to capture heterogeneity across a population. However, the higher granularity and resolution of individual-based models come with the cost of increased computational complexities, which result in difficulty in formulating individual-based models usingmathematics. Moreover, a great effort is needed to understand existing individual-based epidemic models that are presented by previous researches. In this paper, we realize the mathematical formulation of heterogeneous individual-based epidemic models by using matrix equations. We employ matrices and vectors to represent individual attributes and behaviors, derive analytical results from the matrix-based representation of individuals, and design algorithms to derivethe computation of individual-based epidemic models. At last, we study the effect of non-pharmaceutical interventions on epidemic outbreaks by using heterogeneous individual-based epidemic models via matrix equations, including contact tracing and workplace closing. IEEE

关键词： Random processes

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parallel SIMULATION OF LARGE-SCALE ARTIFICIAL SOCIETY WITH GPU AS COPROCESSOR

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International Journal of Modeling, Simulation, and Scientific Computing 2013年第2期4卷 130-141页

作者： GANG GUO BIN CHEN XIAOGANG QIU Research Center of Computational Experiments and Parallel System Technology National University of Defense Technology ChangshaHunanChina 410073P.R.China

Large-scale artificial societies with millions or billions of agents call for high-performance parallel *** supercomputers with thousands of CPUs and GPUs make it possible to carry out such *** key is to distribute large-scale agents to massive cores of CPUs and GPUs properly for parallel computing with efficient communication and *** simplicity and efficiency,a modified discrete event system specification(DEVS)is proposed for large-scale artificial society modeling and parallelism is exploited in agent models because similar agents usually share similar *** phased synchronization,a two-tier parallel simulation engine is designed with support of MPI and OpenCL where GPU is used as ***-sided communication is used for reflection of remote simulation objects and message passing between processes.A general kernel function prototype is elaborately designed and conditionally compiled for execution on both CPU and *** artificial society for epidemic study is used to test the performance on a supercomputer with 1024 CPU cores and 1792 GPU *** speedup reaches 3512 for even 2 billion agents with GPU acceleration which is far over 701 when only CPUs are *** turns out feasible for parallel simulation of large-scale artificial society with GPU as coprocessor.

关键词： Artificial society parallel simulation agent-based modeling GPU phased synchronization DEVS.

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On social computing research collaboration patterns： a social network perspective

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Frontiers of Computer Science 2012年第1期6卷 122-130页

作者： Tao WANG Qingpeng ZHANG Zhong LIU Wenli LIU Ding WEN Science and Technology on Information Systems Engineering Lab College of Information Systems and ManagementNational University of Defense and TechnologyChangsha 410073China Department of Systems and Industrial Engineering University of ArizonaTucsonAZ 85721USA Military Computational Experiments and Parallel Systems Research Center National University of Defense and TechnologyChangsha 410073China

The field of social computing emerged more than ten years ago. During the last decade, researchers from a vari- ety of disciplines have been closely collaborating to boost the growth of social computing research. This paper aims at iden- tifying key researchers and institutions, and examining the collaboration patterns in the field. We employ co-authorship network analysis at different levels to study the bibliographic information of 6 543 publications in social computing from 1998 to 2011. This paper gives a snapshot of the current re- search in social computing and can provide an initial guid- ance to new researchers in social computing.

关键词： social computing bibliographic analysis com-putational social science social network analysis

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IEEE International Conference on Intelligence and Security Informatics

作者： Gao, Chao Zhang, Xin Zheng, Liang Wang, Hui Research Center of Computational Experiments and Parallel System Technology College of Information Systems and Management National University of Defense Technology China

ISBN: (纸本)9781457700828

Social multimedia content had an unprecedented increasing trend in recent years, and receiving a number of research attentions. Images, an exceedingly expressive form of social multimedia, can be widely seen in news report for social emergency. Among the vast number of images for social emergency are many repurposed images, that is, variants not interpreted as what the original images express. Such repurposed images appear in many online pages and may mislead the public. This make it being an interesting and challenging task to identify whether an image is repurposed. We propose a novel framework, called SOFC, to identify the repurposed images. A SIFT-based identical parts finding algorithm is used to find and align all potential identical blocks in the repurposed images and the original images. We then compute the similarity of the potential identical blocks by implementing an object-based likelihood measuring algorithm, to determine whether these blocks are identical in the two images. Finally, the effectiveness of the proposed identification method is validated by experiments on a image set of real social emergency. © 2011 IEEE.

关键词： Bismuth Image resolution Object recognition SIFT based identical parts finding algorithm SOFC feature extraction image similarity multimedia computing multimedia social computing object based likelihood measuring algorithm repurposed images social emergen

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Measurement and analysis of topology and information propagation on Sina-Microblog

Measurement and analysis of topology and information propaga...

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IEEE International Conference on Intelligence and Security Informatics

作者： Fan, Pengyi Li, Pei Jiang, Zhihong Li, Wei Wang, Hui Research Center of Computational Experiments and Parallel System Technology College of Information Systems and Management National University of Defense Technology China

ISBN: (纸本)9781457700828

Sina-Microblog, the earliest and biggest microblogging service in China, has become one of the most popular media in information propagation. In order to gain insights into the topological and information diffusing characteristics of microblogging network in China, we crawled Sina-Microblog for about 3 months and obtain the trace of its topology and topics. Compared with other online social networks, our measurement study shows a number of interesting findings. Our data suggests that Sina-Microblog network has apparent small-world effect and scale-free characteristic, specially, the outdegree distribution appears to have multiple separate power-law regimes with different exponents. We also observe the overlay graph of Sina-Microblog represents assortative mixing pattern and weak correlation of indegree and outdegree. Moreover, by constructing the cascades of different topics, our data suggests that the distribution of cascades size follows a power-law and heavy-tailed property with the slope approximately 2, and the common motifs of cascades with different topics are very similar, above 93% of them are isolated nodes. In order to find the formative motivity of hot cascades, we find that they always evolve to the structures like star pattern and two-polar pattern, which are mainly due to the indegree of participating nodes, and are also correlated with the content of tweet. © 2011 IEEE.

关键词： Topology

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Determination of Polynomial Degree in the Regression of Drug Combinations

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IEEE/CAA Journal of Automatica Sinica 2017年第1期4卷 41-47页

作者： Boqian Wang Xianting Ding Fei-Yue Wang School of Biomedical Engineering Shanghai Jiao Tong University IEEE State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Science (SKL-MCCS CASIA) Research Center of Computational Experiments and Parallel Systems National University of Defense Technology

Studies on drug combinations are becoming more and more popular in the past few decades, with the development of computer and algorithms. One of the most common methods in optimizing drug combinations is regression of a polynomial model based on certain number of experimental observations. In this paper, we study how to determine the degree of polynomials in different circumstances of drug combination optimization. Using cross-validation, we have found that in most cases, a high degree results in failures of accurate prediction, named overfitting. An anti-noise test has also revealed that polynomial model with high degree tends to be less resistant to random errors in the observations. © 2014 Chinese Association of Automation.

关键词： Acoustics Random errors Regression analysis

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A geographic analysis of P2P-TV viewership

A geographic analysis of P2P-TV viewership

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IEEE International Conference on Intelligence and Security Informatics

作者： Jiang, Zhihong Wang, Hui Zhang, Yubao Li, Pei Research Center of Computational Experiments and Parallel System Technology College of Information Systems and Management National University of Defense Technology China

ISBN: (纸本)9781457700828

A promising P2P application, P2P-TV, has attracted hundreds of thousands of Chinese viewers. These viewers who are located in different regions represent groups with distinct cultures. However, little existing research has provided sufficient insights into the societal impact of P2P-TV systems, from the viewpoint of geographic distribution of viewers. In this paper, we analyze geographic distribution of viewers of three most popular P2P-TV systems simultaneously, PPLive, PPStream and UUSee. With more than 20 GB worth of log data from three different P2P-TV systems, we have completed a thorough investigation of geographic distribution of viewers. We also seek to explore the potential correlation between viewer population density and economic development level and find that there is indeed a highly negative correlation between them. © 2011 IEEE.

关键词： Geographical distribution

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TV monitor: A P2P-TV content monitoring platform

TV monitor: A P2P-TV content monitoring platform

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3rd International Conference on Multimedia Information Networking and Security, MINES 2011

作者： He, Su Zhang, Xing Jiang, Zhihong Kang, Hao Wang, Hui Research Center of Computational Experiments and Parallel System Technology College of Information Systems and Management National University of Defense Technology Changsha China

ISBN: (纸本)9780769545592

As P2P-TV applications are widely used on the Internet, its disadvantages shows up with its conventions, particular the easier spread of erotic, violent or pirated content. To address this problem, this paper presents a system that can accurately identify and closely monitor the P2P-TV traffic passing through a campus network. It consists of five core modules: data collection, traffic identification, active measurement, video content detection and filter, and center of visualization. The basic flow of the content monitoring contains five steps: 1) the data collection module collects mixed traffic from the campus gateway, 2) the traffic identification module classifies the mirrored traffic and identifies the P2P-TV traffic flows of the corresponding platforms and their channels watching by the viewers in the campus network, 3) the active measurement module is driven to probe the behavior, IP addresses and geographical positions of online viewers, 4) the video content detection and filter module recovers the video content from the identified P2P-TV traffic and performs anomaly detection, and 5) the center of visualization module is responsible to interact with other modules and visualizes all results on the web in various manners. © 2011 IEEE.

关键词： Data visualization

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