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Quantifying multiple social relationships based on a multiplex stochastic block model Science Letter

Mincheng Wu, Zhen Li, Cunqi Shao, Shibo He,s18he@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 11, Pages 1458-1462 doi: 10.1631/FITEE.2000617

Abstract: Online s have attracted great attention recently, because they make it easy to build social connections for people all over the world. However, the observed structure of an online is always the aggregation of multiple social relationships. Thus, it is of great importance for real-world networks to reconstruct the full network structure using limited observations. The multiplex is introduced to describe multiple social ties, where different layers correspond to different attributes (e.g., age and gender of users in a ). In this letter, we aim to improve the model precision using maximum likelihood estimation, where the precision is defined by the cross entropy of parameters between the data and model. Within this framework, the layers and partitions of nodes in a are determined by natural node annotations, and the aggregate of the is available. Because the original has a high degree of freedom, we add an independent functional layer to cover it, and theoretically provide the optimal block number of the added layer. Empirical results verify the effectiveness of the proposed method using four measures, i.e., error of link probability, cross entropy, area under the receiver operating characteristic curve, and Bayes factor.

Keywords：社交网络；多重网络；随机块模型

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Certificateless broadcast multi-signature for network coding Research Article

Huifang YU, Zhewei QI

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 9, Pages 1369-1377 doi: 10.1631/FITEE.2200271

Abstract: can save wireless network resources and is very fast in comparison with traditional routing. In real application scenarios, is vulnerable to pollution attacks and forgery attacks. To solve these problems, the certificateless broadcast multi-signature for (NC-CLBMS) method is devised, where each source node user generates a multi-signature about the message vector, and the intermediate node linearly combines the received data. NC-CLBMS is a multi-source multi-signature method with anti-pollution and anti-forgery advantages; moreover, it has a fixed signature length and its computation efficiency is very high. NC-CLBMS has extensive application prospects in unmanned aerial vehicle (UAV) communication networks, fifth-generation wireless networks, wireless sensor networks, mobile wireless networks, and Internet of Vehicles.

Keywords： Network coding Certificateless multi-signature Linear combination Homomorphic hash function

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Output tracking of delayed logical control networks withmulti-constraint Research Articles

Ya-ting ZHENG, Jun-e FENG

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 2, Pages 316-323 doi: 10.1631/FITEE.1900376

Abstract: In this study, the output tracking of delayed logical control networks (DLCNs) with state and control constraints is further investigated. Compared with other delays, state-dependent delay updates its value depending on the current state values and a pseudo-logical function. Multiple constraints mean that state values are constrained in a nonempty set and the design of the controller is conditioned. Using the semi-tensor product of matrices, dynamical equations of DLCNs are converted into an algebraic description, and an equivalent augmented system is constructed. Based on the augmented system, the output tracking problem is transformed into a set stabilization problem. A deformation of the state transition matrix is computed, and a necessary and sufficient condition is derived for the output tracking of a DLCN with multi-constraint. This condition is easily verified by mathematical software. In addition, the admissible state-feedback controller is designed to enable the outputs of the DLCN to track the reference signal. Finally, theoretical results are illustrated by an example.

Keywords： Logical control networks Multi-constraint Output tracking Stabilization State-dependent delay Semi-tensor product

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Social Influence Analysis: Models, Methods, and Evaluation Review

Kan Li, Lin Zhang, Heyan Huang

Engineering 2018, Volume 4, Issue 1, Pages 40-46 doi: 10.1016/j.eng.2018.02.004

Abstract:

Social influence analysis (SIA) is a vast research field that has attracted research interest in many areas. In this paper, we present a survey of representative and state-of-the-art work in models, methods, and evaluation aspects related to SIA. We divide SIA models into two types: microscopic and macroscopic models. Microscopic models consider human interactions and the structure of the influence process, whereas macroscopic models consider the same transmission probability and identical influential power for all users. We analyze social influence methods including influence maximization, influence minimization, flow of influence, and individual influence. In social influence evaluation, influence evaluation metrics are introduced and social influence evaluation models are then analyzed. The objectives of this paper are to provide a comprehensive analysis, aid in understanding social behaviors, provide a theoretical basis for influencing public opinion, and unveil future research directions and potential applications.

Keywords： Social influence analysis Online social networks Social influence analysis models Influence evaluation

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Learning embeddings of a heterogeneous behavior network for potential behavior prediction Article

Yue-yang WANG, Wei-hao JIANG, Shi-liang PU, Yue-ting ZHUANG

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 3, Pages 422-435 doi: 10.1631/FITEE.1800493

Abstract: Potential behavior prediction involves understanding the latent human behavior of specific groups, andcan assist organizations in making strategic decisions. Progress in information technology has made it possible to acquire more and more data about human behavior. In this paper, we examine behavior data obtained in realworld scenarios as an information network composed of two types of objects (humans and actions) associated with various attributes and three types of relationships (human-human, human-action, and action-action), which we call the heterogeneous behavior network (HBN). To exploit the abundance and heterogeneity of the HBN, we propose a novel network embedding method, human-action-attribute-aware heterogeneous network embedding (a4HNE), which jointly considers structural proximity, attribute resemblance, and heterogeneity fusion. Experiments on two real-world datasets show that this approach outperforms other similar methods on various heterogeneous information network mining tasks for potential behavior prediction.

Keywords： Network embedding Representation learning Human behavior Social networks Heterogeneous information network Attribute

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Earthquakes in the north block of Tibet-Plateau and retrospect of prediction for Wenchuan M8.0 Earthquake

Men Kepei

Strategic Study of CAE 2009, Volume 11, Issue 6, Pages 82-88

Abstract:

Since 1700, M≥7strong earthquakes have had an obvious commensurability and orderliness in the north block of Tibet Plateau. The main orderly values are 53~54 a, 26~27 a, 11~12 a and 3~4 a. According to the information prediction theory of Weng Wenbo and self-organization network technology, we try to explore the practical method for strong earthquake prediction with Chinese characteristics, and conceive strong earthquake with magnitude 7 informational network structure. Based on this, the 2008 Wenchuan M 8.0 great earthquake was predicted and M≥7 strong earthquakes will happen around 2012, 2016 and 2027 in this area. Meanwhile, the cause of formation about Wenchuan Earthquake has been discussed primarily. The results show that strong earthquake and strong earthquake chain can be predicted. This method has a unique effect on mid-and-long term prediction for strong earthquake.

Keywords： the north block of Tibet Plateau informational orderly network structure the great Wenchuan Earthquake strong earthquake prediction

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第七届网络时代的心理与行为研究前沿

Conference Date: 12 Oct 2019

Conference Place: 中国/湖北/武汉

Administered by: 中国心理学会网络心理专委会、青少年网络心理与行为教育部重点实验室

The Networks Analysis of Fire Spread among the Rooms

You Yuhang,Li Yuanzhou,Huo Ran

Strategic Study of CAE 2005, Volume 7, Issue 7, Pages 86-89

Abstract:

This paper introduces the Networks model to analyze the process of fire spread among the rooms. It finds out the dangerous factor through calculating the probability and time of defferent fire spread path under defferent conditions. The process of fire spread can be controled effecting by strengthening the safety precautions. Results indicate the Networks model can predict the possibility and hazard of fire spread among the rooms.

Keywords： fire spread among the rooms the Networks model path

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Elevator Configuration Based on the Markov Network Queuing Model

Zong Qun,Cheng Yiju,Song Junyuan

Strategic Study of CAE 2003, Volume 5, Issue 10, Pages 69-72

Abstract:

The article applies the Markov network theory to build the elevator traffic model. Based on the model elevator configuration parameters of the serving stations are calculated, comparing it with traditional method, the result shows better effect of the method. Meanwhile the result shows the validity and feasibility of the method applied to elevator configuration.

Keywords： Markov network queuing theory elevator traffic model optimizing elevator configuration

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Research on simulation evaluation method based on duration contro-llability of network schedule

Pan Feifei,Wang Renchao and Cao Yonglei

Strategic Study of CAE 2015, Volume 17, Issue 1, Pages 143-150

Abstract:

As the fact that schedulers usually utilizing resources re-allocation and improving resource-utilization efficiency in coping with project delay caused by risk events，a stochastic simulation evaluation method based on duration controllability of network schedule was put forward. This method took the resource allocation and utilization of margin of the activity as controllable indicators， and considered different constructability of measures reaction to different occur time of risk events. Through the stochastic simulation of each risk events occur time， delay of activity duration and effect of the risk reaction，the distribution of project duration was simulated which was utilized to evaluate the rationality of the network schedule. A case indicates that，compared with traditional simulation evaluation methods such as duration-based and factors-based Monte-Carlo simulation， simulation results of the duration controllability-based is more reasonable.

Keywords： network schedule； stochastic simulation； risk reaction； duration controllability； evaluation

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A surrogate-based optimization algorithm for network design problems Article

Meng LI, Xi LIN, Xi-qun CHEN

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11, Pages 1693-1704 doi: 10.1631/FITEE.1601403

Abstract: Network design problems (NDPs) have long been regarded as one of the most challenging problems in the field of transportation planning due to the intrinsic non-convexity of their bi-level programming form. Furthermore, a mixture of continuous/discrete decision variables makes the mixed network design problem (MNDP) more complicated and difficult to solve. We adopt a surrogate-based optimization (SBO) framework to solve three featured categories of NDPs (continuous, discrete, and mixed-integer). We prove that the method is asymptotically completely convergent when solving continuous NDPs, guaranteeing a global optimum with probability one through an indefinitely long run. To demonstrate the practical performance of the proposed framework, numerical examples are provided to compare SBO with some existing solving algorithms and other heuristics in the literature for NDP. The results show that SBO is one of the best algorithms in terms of both accuracy and efficiency, and it is efficient for solving large-scale problems with more than 20 decision variables. The SBO approach presented in this paper is a general algorithm of solving other optimization problems in the transportation field.

Keywords： Network design problem Surrogate-based optimization Transportation planning Heuristics

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Simulation Algorithm of Flightdeck Airflow Based on Neural Network

Xun Wensheng,Lin Ming

Strategic Study of CAE 2003, Volume 5, Issue 5, Pages 76-79

Abstract:

The airflow on the flightdeck is an important factor which influences helicopter flight safety. The airflow velocity distribution characteristics directly influences simulation accuracy of helicopter flight dynamics. Based on the Navier-Stokes equations, the method to determine the airflow velocity in real-time is discussed using BP neural network. This method can be used for flightdeck airflow real-time simulation, and it can improve helicopter flight simulation accuracy.

Keywords： flow finite element neural network

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Study on road network model based on virtual node joint

Zhu Zhuangsheng,Wang Qing,Wan Dejun

Strategic Study of CAE 2009, Volume 11, Issue 8, Pages 83-87

Abstract:

The road network in the real world has been showed by the road network model based on node joint, which shows more and more limitations and greatly weakens the control of navigation system. It is the first time that a novel road network model,that is,the road network model based on virtual node joint,was presented in the paper to eliminate the limitations. The novel model adops virtual node to show multi-road converging area,and the virtual node is an area which is made up of converging roads first or last point,and has the same shape as road crossing. The novel model has better of image the traffic flow on the road network than the old model based on node joint,and satisfies the demand of the map matching theory better. Moreover,the novel model can be applied to traffic planning,traffic management planning,and traffic flow simulation.

Keywords： traffic engineering virtual node road network model map matching transportation planning

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An Interactive ServiceorientedP2P Networks Architecture Reference Model

Liu Ye,Liu Linfen,Zhuang Yanyan

Strategic Study of CAE 2007, Volume 9, Issue 9, Pages 72-77

Abstract:

An interactive service- oriented P2P networks architecture (ISPNA) is proposed in this paper. Based on the further analysis on the service demand of distributed P2P applications, and considering the characteristics of P2P networks such as loose-coupled, self-organizing, and scalability, the key availability enhancing issues of P2P networks are resolved by several different layers in ISPNA, of which mutual relations are to analyzed. From the architecture point of view, to synthetically take into account the omnifarious factors that affect the availability of structure P2P networks and to analyze the causes of their formation should be helpful to put the questions in right perspective.

Keywords： P2P networks architecture reference model resource service

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Multi-domain Knowledge Convergence Trajectory Analysis of Strategic Emerging Industries Based on Citation Network and Text Information

Liu Yufei, Miao Zhongzhen, Li Lingfeng, Kong Dejing

Strategic Study of CAE 2020, Volume 22, Issue 2, Pages 120-129 doi: 10.15302/J-SSCAE-2020.02.016

Abstract:

The analysis of technology convergence process for strategic emerging industries is helpful to deeply understand the generation process and development law of industrial technology, thereby helping master the development trend of the field and promoting the healthy development of the industry. To identify the trajectory and degree of technology convergence of the strategic emerging industries, this study conducts a multi-case study on four fields which present a trend of convergence and attract social attention, namely, high-end equipment manufacturing, new-generation information technology, new medicine, and new energy. This study adopts a knowledge convergence trajectory analysis method based on citation network and text information. It utilizes a graph neural network model and encodes the citation network, title, and abstract of the publications as vectors. Five knowledge convergence trajectories are identified, after analyzing the data of the selected four technical fields. The research results show that information technology and numerical control equipment, biomedicine and solar photovoltaic technology have shown a trend of deep convergence, respectively; and the convergence of the information technology and numerical control equipment is deeper. Numerical control equipment and solar photovoltaic technology, information technology and solar photovoltaic technology have shown a converging trend, respectively; however, the current degree of convergence is still insufficient, due to the late start of convergence. Numerical control equipment and biomedicine have not shown any trend of convergence.

Keywords： emerging industries knowledge convergence graph neural networks citation network topic model