In order to prevent and control the spread of rumors, the implementation of immunization strategies for ignorant individuals is very necessary, where the immunization usually means letting them learn the truth of rumo...In order to prevent and control the spread of rumors, the implementation of immunization strategies for ignorant individuals is very necessary, where the immunization usually means letting them learn the truth of rumors.Considering the facts that there is always a delay time between rumor spreading and implementing immunization, and that the truth of rumors can also be spread out, this paper constructs a novel susceptible-infected-removed(SIR) model.The propagation dynamical behaviors of the SIR model on homogeneous networks are investigated by using the meanfield theory and the Monte Carlo method. Research shows that the greater the delay time, the worse the immune effect of the immunization strategy. It is also found that the spread of the truth can inhibit to some extent the propagation of rumors, and the trend will become more obvious with the increase of reliability of the truth. Moreover, under the influence of delay time, the existence of nodes' identification force still slightly reduces the propagation degree of rumors.展开更多
In this paper, a stochastic SIS epidemic model on homogeneous networks is considered. The largest Lyapunov exponent is calculated by Oseledec multiplicative ergodic theory, and the stability condition is determined by...In this paper, a stochastic SIS epidemic model on homogeneous networks is considered. The largest Lyapunov exponent is calculated by Oseledec multiplicative ergodic theory, and the stability condition is determined by the largest Lyapunov exponent. The probability density function for the proportion of infected individuals is found explicitly, and the stochastic bifurcation is analysed by a probability density function. In particular, the new basic reproductive number R^＊, that governs whether an epidemic with few initial infections can become an endemic or not, is determined by noise intensity. In the homogeneous networks, despite of the basic productive number R0 〉1, the epidemic will die out as long as noise intensity satisfies a certain condition.展开更多
Effective sealing of wet,dynamic and concealed wounds remains a formidable challenge in clinical practice.Sprayable hydrogel sealants are promising due to their ability to cover a wide area rapidly,but they face limit...Effective sealing of wet,dynamic and concealed wounds remains a formidable challenge in clinical practice.Sprayable hydrogel sealants are promising due to their ability to cover a wide area rapidly,but they face limitations in dynamic and moist environments.To address this issue,we have employed the principle of a homogeneous network to design a sprayable hydrogel sealant with enhanced fatigue resistance and reduced swelling.This network is formed by combining the spherical structure of lysozyme(LZM)with the orthotetrahedral structure of 4-arm-polyethylene glycol(4-arm-PEG).We have achieved exceptional sprayability by controlling the pH of the precursor solution.The homogeneous network,constructed through uniform cross-linking of amino groups in protein and 4-arm-PEG-NHS,provides the hydrogel with outstanding fatigue resistance,low swelling and sustained adhesion.In vitro testing demonstrated that it could endure 2000 cycles of underwater shearing,while in vivo experiments showed adhesion maintenance exceeding 24 h.Furthermore,the hydrogel excelled in sealing leaks and promoting ulcer healing in models including porcine cardiac hemorrhage,lung air leakage and rat oral ulcers,surpassing commonly used clinical materials.Therefore,our research presents an advanced biomaterial strategy with the potential to advance the clinical management of wet,dynamic and concealed wounds.展开更多
In this paper, to study rumor spreading, we propose a novel susceptible-infected-removed （SIR） model by introducing the trust mechanism. We derive mean-field equations that describe the dynamics of the SIR model on ...In this paper, to study rumor spreading, we propose a novel susceptible-infected-removed （SIR） model by introducing the trust mechanism. We derive mean-field equations that describe the dynamics of the SIR model on homogeneous networks and inhomogeneous networks. Then a steady-state analysis is conducted to investigate the critical threshold and the finaJ size of the rumor spreading. We show that the introduction of trust mechanism reduces the final rumor size and the velocity of rumor spreading, but increases the critical thresholds on both networks. Moreover, the trust mechanism not only greatly reduces the maximum rumor influence, but also postpones the rumor terminal time, which provides us with more time to take measures to control the rumor spreading. The theoretical results are confirmed by sufficient numerical simulations.展开更多
Synchronization rhythm and oscillating in biological systems can give clues to understanding the cooperation and competition between cells under appropriate biological and physical conditions. As a result, the network...Synchronization rhythm and oscillating in biological systems can give clues to understanding the cooperation and competition between cells under appropriate biological and physical conditions. As a result, the network setting is appreciated to detect the stability and transition of collective behaviors in a network with different connection types. In this paper, the synchronization performance in time-delayed excitable homogeneous random networks（EHRNs） induced by diversity in system parameters is investigated by calculating the synchronization parameter and plotting the spatiotemporal evolution pattern, and distinct impacts induced by parameter-diversity are detected by setting different time delays. It is found that diversity has no distinct effect on the synchronization performance in EHRNs with small time delay being considered. When time delay is increased greatly, the synchronization performance of EHRN degenerates remarkably as diversity is increased. Surprisingly, by setting a moderate time delay, appropriate parameter-diversity can promote the synchronization performance in EHRNs, and can induce the synchronization transition from the asynchronous state to the weak synchronization. Moreover, the bistability phenomenon, which contains the states of asynchronous state and weak synchronization,is observed. Particularly, it is confirmed that the parameter-diversity promoted synchronization performance in time-delayed EHRN is manifested in the enhancement of the synchronization performance of individual oscillation and the increase of the number of synchronization transitions from the asynchronous state to the weak synchronization. Finally, we have revealed that this kind of parameter-diversity promoted synchronization performance is a robust phenomenon.展开更多
Information networks store rich information in the nodes and edges,which benefit many downstream tasks,such as recommender systems and knowledge graph completion.Information networks contain homogeneous information,he...Information networks store rich information in the nodes and edges,which benefit many downstream tasks,such as recommender systems and knowledge graph completion.Information networks contain homogeneous information,heterogeneous information and knowledge graphs.A significant number of surveys focus on one of the three parts and summarize the research works,but few surveys conclude and compare the three kinds of information networks.In addition,in real scenarios,lots of information networks lack sufficient labeled data,so the combination of meta-learning and information networks can bring in extended applications.This paper concentrates on few-shot information networks and systematically presents recent works to help analyze and follow related works.展开更多
Within the thriving e-commerce landscape,some unscrupulous merchants hire spammer groups to post misleading reviews or ratings,aiming to manipulate public perception and disrupt fair market competition.This phenomenon...Within the thriving e-commerce landscape,some unscrupulous merchants hire spammer groups to post misleading reviews or ratings,aiming to manipulate public perception and disrupt fair market competition.This phenomenon has prompted a heightened research focus on spammer groups detection.In the e-commerce domain,current spammer group detection algorithms can be classified into three categories,i.e.,Frequent Item Mining-based,graph-based,and burst-based algorithms.However,existing graph-based algorithms have limitations in that they did not adequately consider the redundant relationships within co-review graphs and neglected to detect overlapping members within spammer groups.To address these issues,we introduce an overlapping spammer group detection algorithm based on deep reinforcement learning named DRL-OSG.First,the algorithm filters out highly suspicious products and gets the set of reviewers who have reviewed these products.Secondly,taking these reviewers as nodes and their co-reviewing relationships as edges,we construct a homogeneous co-reviewing graph.Thirdly,to efficiently identify and handle the redundant relationships that are accidentally formed between ordinary users and spammer group members,we propose the Auto-Sim algorithm,which is a specifically tailored algorithm for dynamic optimization of the co-reviewing graph,allowing for adjustments to the reviewers’relationship network within the graph.Finally,candidate spammer groups are discovered by using the Ego-Splitting overlapping clustering algorithm,allowing overlapping members to exist in these groups.Then,these groups are refined and ranked to derive the final list of spammer groups.Experimental results based on real-life datasets show that our proposed DRL-OSG algorithm performs better than the baseline algorithms in Precision.展开更多
基金Supported by the National Natural Science Foundation of China under Grant No.61402531the Natural Science Basic Research Plan in Shaanxi Province of China under Grant Nos.2014JQ8358,2015JQ6231,and 2014JQ8307+1 种基金the China Postdoctoral Science Foundation under Grant No.2015M582910the Basic Research Foundation of Engineering University of the Chinese People’s Armed Police Force under Grant Nos.WJY201419,WJY201605 and JLX201686
文摘In order to prevent and control the spread of rumors, the implementation of immunization strategies for ignorant individuals is very necessary, where the immunization usually means letting them learn the truth of rumors.Considering the facts that there is always a delay time between rumor spreading and implementing immunization, and that the truth of rumors can also be spread out, this paper constructs a novel susceptible-infected-removed(SIR) model.The propagation dynamical behaviors of the SIR model on homogeneous networks are investigated by using the meanfield theory and the Monte Carlo method. Research shows that the greater the delay time, the worse the immune effect of the immunization strategy. It is also found that the spread of the truth can inhibit to some extent the propagation of rumors, and the trend will become more obvious with the increase of reliability of the truth. Moreover, under the influence of delay time, the existence of nodes' identification force still slightly reduces the propagation degree of rumors.
基金Project supported by the Science Foundation of Shanxi Province of China (Grant No 2009011005-1)the Youth Foundation of Shanxi Province of China (Grant No 2007021006)
文摘In this paper, a stochastic SIS epidemic model on homogeneous networks is considered. The largest Lyapunov exponent is calculated by Oseledec multiplicative ergodic theory, and the stability condition is determined by the largest Lyapunov exponent. The probability density function for the proportion of infected individuals is found explicitly, and the stochastic bifurcation is analysed by a probability density function. In particular, the new basic reproductive number R^＊, that governs whether an epidemic with few initial infections can become an endemic or not, is determined by noise intensity. In the homogeneous networks, despite of the basic productive number R0 〉1, the epidemic will die out as long as noise intensity satisfies a certain condition.
基金supported by the National key research and development program(2021YFB3800800)the National Natural Science Foundation of China(31922041,11932012,32171341,82202334)+2 种基金the 111 Project(B14018)Excellence Project of Shanghai Municipal Health Commission(20234Z0003)the Science and Technology Innovation Project and Excellent Academic Leader Project of Shanghai Science and Technology Committee(21S31901500,21XD1421100)are acknowledged.
文摘Effective sealing of wet,dynamic and concealed wounds remains a formidable challenge in clinical practice.Sprayable hydrogel sealants are promising due to their ability to cover a wide area rapidly,but they face limitations in dynamic and moist environments.To address this issue,we have employed the principle of a homogeneous network to design a sprayable hydrogel sealant with enhanced fatigue resistance and reduced swelling.This network is formed by combining the spherical structure of lysozyme(LZM)with the orthotetrahedral structure of 4-arm-polyethylene glycol(4-arm-PEG).We have achieved exceptional sprayability by controlling the pH of the precursor solution.The homogeneous network,constructed through uniform cross-linking of amino groups in protein and 4-arm-PEG-NHS,provides the hydrogel with outstanding fatigue resistance,low swelling and sustained adhesion.In vitro testing demonstrated that it could endure 2000 cycles of underwater shearing,while in vivo experiments showed adhesion maintenance exceeding 24 h.Furthermore,the hydrogel excelled in sealing leaks and promoting ulcer healing in models including porcine cardiac hemorrhage,lung air leakage and rat oral ulcers,surpassing commonly used clinical materials.Therefore,our research presents an advanced biomaterial strategy with the potential to advance the clinical management of wet,dynamic and concealed wounds.
基金Supported by the National Natural Science Foundation of China under Grant Nos.61103231,61103230the Innovation Program of Graduate Scientific Research in Institution of Higher Education of Jiangsu Province of China under Grant No.CXZZ110401+1 种基金the Basic Research Foundation of Engineering University of the Chinese People's Armed Police Force under Grant No.WJY201218 the Natural Science Basic Research Plan in Shaanxi Province of China under Grant No.2011JM8012
文摘In this paper, to study rumor spreading, we propose a novel susceptible-infected-removed （SIR） model by introducing the trust mechanism. We derive mean-field equations that describe the dynamics of the SIR model on homogeneous networks and inhomogeneous networks. Then a steady-state analysis is conducted to investigate the critical threshold and the finaJ size of the rumor spreading. We show that the introduction of trust mechanism reduces the final rumor size and the velocity of rumor spreading, but increases the critical thresholds on both networks. Moreover, the trust mechanism not only greatly reduces the maximum rumor influence, but also postpones the rumor terminal time, which provides us with more time to take measures to control the rumor spreading. The theoretical results are confirmed by sufficient numerical simulations.
基金Project supported by the National Natural Science Foundation of China(Grant Nos.11675001,11675112,11775020,and 11372122)
文摘Synchronization rhythm and oscillating in biological systems can give clues to understanding the cooperation and competition between cells under appropriate biological and physical conditions. As a result, the network setting is appreciated to detect the stability and transition of collective behaviors in a network with different connection types. In this paper, the synchronization performance in time-delayed excitable homogeneous random networks（EHRNs） induced by diversity in system parameters is investigated by calculating the synchronization parameter and plotting the spatiotemporal evolution pattern, and distinct impacts induced by parameter-diversity are detected by setting different time delays. It is found that diversity has no distinct effect on the synchronization performance in EHRNs with small time delay being considered. When time delay is increased greatly, the synchronization performance of EHRN degenerates remarkably as diversity is increased. Surprisingly, by setting a moderate time delay, appropriate parameter-diversity can promote the synchronization performance in EHRNs, and can induce the synchronization transition from the asynchronous state to the weak synchronization. Moreover, the bistability phenomenon, which contains the states of asynchronous state and weak synchronization,is observed. Particularly, it is confirmed that the parameter-diversity promoted synchronization performance in time-delayed EHRN is manifested in the enhancement of the synchronization performance of individual oscillation and the increase of the number of synchronization transitions from the asynchronous state to the weak synchronization. Finally, we have revealed that this kind of parameter-diversity promoted synchronization performance is a robust phenomenon.
文摘Information networks store rich information in the nodes and edges,which benefit many downstream tasks,such as recommender systems and knowledge graph completion.Information networks contain homogeneous information,heterogeneous information and knowledge graphs.A significant number of surveys focus on one of the three parts and summarize the research works,but few surveys conclude and compare the three kinds of information networks.In addition,in real scenarios,lots of information networks lack sufficient labeled data,so the combination of meta-learning and information networks can bring in extended applications.This paper concentrates on few-shot information networks and systematically presents recent works to help analyze and follow related works.
基金supported by the Natural Science Foundation of China(71772107)the Natural Science Foundation of Shandong Province of China(ZR2023MF070,ZR2020MF044,ZR202102230289)+2 种基金Open Research Fund of Anhui Province Engineering Laboratory for Big Data Analysis and Early Warning Technology of Coal Mine Safety(NO.CSBD2022-ZD01)Shandong Education Quality Improvement Plan for Postgraduate(2021)the SDUST Research Fund.
文摘Within the thriving e-commerce landscape,some unscrupulous merchants hire spammer groups to post misleading reviews or ratings,aiming to manipulate public perception and disrupt fair market competition.This phenomenon has prompted a heightened research focus on spammer groups detection.In the e-commerce domain,current spammer group detection algorithms can be classified into three categories,i.e.,Frequent Item Mining-based,graph-based,and burst-based algorithms.However,existing graph-based algorithms have limitations in that they did not adequately consider the redundant relationships within co-review graphs and neglected to detect overlapping members within spammer groups.To address these issues,we introduce an overlapping spammer group detection algorithm based on deep reinforcement learning named DRL-OSG.First,the algorithm filters out highly suspicious products and gets the set of reviewers who have reviewed these products.Secondly,taking these reviewers as nodes and their co-reviewing relationships as edges,we construct a homogeneous co-reviewing graph.Thirdly,to efficiently identify and handle the redundant relationships that are accidentally formed between ordinary users and spammer group members,we propose the Auto-Sim algorithm,which is a specifically tailored algorithm for dynamic optimization of the co-reviewing graph,allowing for adjustments to the reviewers’relationship network within the graph.Finally,candidate spammer groups are discovered by using the Ego-Splitting overlapping clustering algorithm,allowing overlapping members to exist in these groups.Then,these groups are refined and ranked to derive the final list of spammer groups.Experimental results based on real-life datasets show that our proposed DRL-OSG algorithm performs better than the baseline algorithms in Precision.
