Studying the co-evolution of information diffusion,vaccination behavior and disease transmission in multilayer networks with local and global effects

Today,with the rapid development of the internet,a large amount of information often accompanies the rapid transmission of disease outbreaks,and increasing numbers of scholars are studying the relationship between information and the disease transmission process using complex networks.In fact,the disease transmission process is very complex.Besides this information,there will often be individual behavioral measures and other factors to consider.Most of the previous research has aimed to establish a two-layer network model to consider the impact of information on the transmission process of disease,rarely divided into information and behavior,respectively.To carry out a more in-depth analysis of the disease transmission process and the intrinsic influencing mechanism,this paper divides information and behavior into two layers and proposes the establishment of a complex network to study the dynamic co-evolution of information diffusion,vaccination behavior,and disease transmission.This is achieved by considering four influential relationships between adjacent layers in multilayer networks.In the information layer,the diffusion process of negative information is described,and the feedback effects of local and global vaccination are considered.In the behavioral layer,an individual's vaccination behavior is described,and the probability of an individual receiving a vaccination is influenced by two factors:the influence of negative information,and the influence of local and global disease severity.In the disease layer,individual susceptibility is considered to be influenced by vaccination behavior.The state transition equations are derived using the micro Markov chain approach(MMCA),and disease prevalence thresholds are obtained.It is demonstrated through simulation experiments that the negative information diffusion is less influenced by local vaccination behavior,and is mainly influenced by global vaccination behavior;vaccination behavior is mainly influenced by local disease conditions,and is less influenced by global disease conditions;the disease transmission threshold increases with the increasing vaccination rate;and the scale of disease transmission increases with the increasing negative information diffusion rate and decreases with the increasing vaccination rate.Finally,it is found that when individual vaccination behavior considers both the influence of negative information and disease,it can increase the disease transmission threshold and reduce the scale of disease transmission.Therefore,we should resist the diffusion of negative information,increase vaccination proportions,and take appropriate protective measures in time.

Regulations for the Protection of the Right of Communication through Information Network

Article 1 These Regulations have been formulated under the Copyright Law of the People's Republic of China (hereinafter referred to as the Copyright Law) with a view to protecting the right of communication through information network enjoyed by copyright owners, performers and producers of sound recordings and video recordings (hereinafter collectively referred to as the right owners) and to encouraging creation and communication of works conducive to the building of a socialist society that is advanced ethically and materially.

The Profound Revelation of Human Social Relations and the Profound Realization of Information Right of Citizens——The social significance of network technique advancement in the perspective of “Entity Cube”

The R＆D group of relationship searching in Microsoft Asia Research Institute explains ＂Entity Cube＂ launched in 2008 as follows：

Effects of information transmission delay and channel blocking on synchronization in scale-free Hodgkin-Huxley neuronal networks

In this paper,we investigate the evolution of spatiotemporal patterns and synchronization transitions in dependence on the information transmission delay and ion channel blocking in scale-free neuronal networks.As the underlying model of neuronal dynamics,we use the Hodgkin-Huxley equations incorporating channel blocking and intrinsic noise.It is shown that delays play a significant yet subtle role in shaping the dynamics of neuronal networks.In particular,regions of irregular and regular propagating excitatory fronts related to the synchronization transitions appear intermittently as the delay increases.Moreover,the fraction of working sodium and potassium ion channels can also have a significant impact on the spatiotemporal dynamics of neuronal networks.As the fraction of blocked sodium channels increases,the frequency of excitatory events decreases,which in turn manifests as an increase in the neuronal synchrony that,however,is dysfunctional due to the virtual absence of large-amplitude excitations.Expectedly,we also show that larger coupling strengths improve synchronization irrespective of the information transmission delay and channel blocking.The presented results are also robust against the variation of the network size,thus providing insights that could facilitate understanding of the joint impact of ion channel blocking and information transmission delay on the spatiotemporal dynamics of neuronal networks.

Impact of Enforcement of Right of Communication through Information Network

On 27 October 2001, the Standing Committee of the People's Congress reviewed and passed the Amendment to the Copyright Law of the People's Republic of China. In Article 10 of the amended Copyright Law as of 2001 has been incorporated a new subject matter under the copyright protection: the right of communication through information network, that is, the right to make a work available to the public by wire or by wireless means, so that people may have access to the work from a place and at a time individu...

Modeling and Statistical Properties Research on Online Real-Time Information Transmission Network

In this paper, the model of the online real-time information transmission network, such as wechat, micro-blog, and QQ network, is proposed and built, based on the connection properties between users of the online real-time information transmission network, and combined with the local world evolving characteristics in complex network, then the statistical topological properties of the network is obtained by numerical simulation. Furthermore, we simulated the process of information transmission on the network, according to the actual characteristics of the online real-time information transmission. Statistics show that the degree distribution presents the characteristics of scale free network, presenting power law distribution, while the average path length, the average clustering coefficient and the average size of the network also has a power-law relationship, moreover, the model parameters has no effect on power-law exponent. The spread of information on the network represents obvious fluctuation scaling, reflecting the characteristics that information transmission fluctuates over time.

Controlled Quantum Network Coding Without Loss of Information

Quantum network coding is used to solve the congestion problem in quantum communication,which will promote the transmission efficiency of quantum information and the total throughput of quantum network.We propose a novel controlled quantum network coding without information loss.The effective transmission of quantum states on the butterfly network requires the consent form a third-party controller Charlie.Firstly,two pairs of threeparticle non-maximum entangled states are pre-shared between senders and controller.By adding auxiliary particles and local operations,the senders can predict whether a certain quantum state can be successfully transmitted within the butterfly network based on the Z-{10>,|1>}basis.Secondly,when trans-mission fails upon prediction,the quantum state will not be lost,and it will sill be held by the sender.Subsequently,the controller Charlie re-prepares another three-particle non-maximum entangled state to start a new round.When the predicted transmission is successful,the quantum state can be transmitted successfully within the butterfly network.If the receiver wants to receive the effective quantum state,the quantum measurements from Charlie are needed.Thirdly,when the transmission fails,Charlie does not need to integrate the X-{1+>,1->}basis to measure its own particles,by which quantum resources are saved.Charlie not only controls the effective transmission of quantum states,but also the usage of classical and quantum channels.Finally,the implementation of the quantum circuits,as well as a flow chart and safety analysis of our scheme,is proposed.

Taming desynchronized bursting with delays in the Macaque cortical network

Inhibitory coupled bursting Hindmarsh-Rose neurons are considered as constitutive units of the Macaque corti- cal network. In the absence of information transmission delay the bursting activity is desynchronized, giving rise to spatiotemporally disordered dynamics. This paper shows that the introduction of finite delays can lead to the synchro- nization of bursting and thus to the emergence of coherent propagating fronts of excitation in the space-time domain. Moreover, it shows that the type of synchronous bursting is uniquely determined by the delay length, with the transi- tions from one type to the other occurring in a step-like manner depending on the delay. Interestingly, as the delay is tuned close to the transition points, the synchronization deteriorates, which implies the coexistence of different bursting attractors. These phenomena can be observed by different but fixed coupling strengths, thus indicating a new role for information transmission delays in realistic neuronal networks.

Research on Accurate Information Pushing Based on Human Network

Based on the social network analysis methods and human network, this paper randomly selected 44 students (31 males and 13 females) as the research objects, and it used the UCINET software to analyze the friendship between them of which 43 used WeChat and 44 used QQ, and it also used the tool Netdraw to visualize the network sociogram. By mining the four aspects of density, accessibility, centrality, block model, the results demonstrated that QQ social network and WeChat social network existed the phenomenon of small world, leaders and subgroups, and the key nodes of QQ human network were more than WeChat network. Through using the key nodes, it can push the precise and efficient information and improve the accuracy of information transmission and impact among network members.

Analysis of Copyright Infringement in Deep Linking

With the development of Intemet technology, various kinds of network link show up, from common links to deep links, from the web to mobile client. Many platforms named the deep links banner aggregation service emerged gradually. The deep linking has brought convenience to the public and also caused a lot of copyright infringement problems. This paper expounds the identification of infringement of the deep linking information transmission on internet and the identification of infringement of the right of reproduction, furthermore analyzing three kinds of applicable standards to determine interact information transmission behavior. Finally, we should gradually get rid of the dependence on server standard applicable, auxiliary for the substantive alternative standard, and gradually complete the substantive alternative standard.

Development in theoretical study and practice of library legislation in China

One of the most outstanding characteristics of library legislation in China is that theoretical research and legislative practice are mutually reinforcing, making important issues and basic rules and regulations closely associated with legislation and the research focus. A national library law is currently being enacted while several local library legislations have already seen fruitful results. In the enactment of 'Regulations for the Protection of Information Network Dissemination Rights', the library professional participated for the first time in enacting a national copyright law, which led to unprecedented flourishing of library activities and copyright studies. The promulgation of another legal framework,'Government Information Disclosure Regulations' further advanced the research on related issues and pushed forward government information services in public libraries in the same way. A new landmark for library legislation in recent years is the promulgation of'Guidelines for Land Utilization for Public Library Construction' and 'Public Library Construction Standards', while the framing of 'Rules of Professional Ethics for Librarians in China(On trial)' and the 'Library Service Manifesto' give indication that a framework of self-disciplinary measures of library professionals is established.

Impact of asymmetric activity on interactions between information diffusion and disease transmission in multiplex networks

Disease is a serious threat to human society.Understanding the characteristics of disease transmission is helpful for people to effectively control disease.In real life,it is natural to take various measures when people are aware of disease.In this paper,a novel coupled model considering asymmetric activity is proposed to describe the interactions between information diffusion and disease transmission in multiplex networks.Then,the critical threshold for disease transmission is derived by using the micro-Markov chain method.Finally,the theoretical results are verified by numerical simulations.The results show that reducing the activity level of individuals in the physical contact layer will have a continuous impact on reducing the disease outbreak threshold and suppressing the disease.In addition,the activity level of individuals in the virtual network has little impact on the transmission of the disease.Meanwhile,when individuals are aware of more disease-related information,the higher their awareness of prevention will be,which can effectively inhibit the transmission of disease.Our research results can provide a useful reference for the control of disease transmission.

NFT数字作品交易行为的“发行属性”与适用规则

NFT数字作品交易方兴未艾,但侵权问题频现,亟需合理的规制路径。NFT技术促进数字作品交易客体特定化并产生准物权变动的效果,使NFT数字作品区别于一般数字作品与传统作品,为发行权扩张提供了技术性支撑。但发行权的扩张尚面临诸多困境,包括“有形载体”要件的阻碍、“所有权转移要件”标准不明、发行权与信息网络传播权在数字环境中存在重叠等。基于此,应当厘清数字环境中发行权与信息网络传播权的关系;细化NFT数字作品交易领域的发行权适用标准,完成从“有形载体”到“作品与载体相对应”的转变,明确“出售”及“所有权转移”的认定;以“转让+删除”技术及征收版权转售费作为辅助手段,完成发行权在NFT数字作品交易中的嬗变与适用。

馆藏绝版作品数字化传播的规范进路

国家图书馆与北京三面向公司著作权纠纷案让馆藏绝版作品的数字化传播问题引起社会关注。为保护著作权并调和社会公共利益,避免破坏正常市场运作机制,我国《信息网络传播权保护条例》规定了馆藏绝版作品数字化传播的合理使用制度。从实施情况看,条例对适格客体条件与传播范围的限制过于严苛,存在违反基本公共服务均等性要求和违背利益平衡原则等问题。借鉴新修订《日本著作权法》中的相关条款,建议我国对于馆藏绝版作品的数字化传播规范宜采取如下改革措施:一是扩大合理使用的范围,建立覆盖馆内、馆际、馆外的传播体系,并设置匹配的补偿机制;二是优化客体适用条件,建立“绝版作品”的动态认定机制;三是探索建立以国家图书馆为枢纽的绝版作品数字化传播运行机制。

NFT数字艺术品版权法律问题的厘清

NFT数字艺术品具有唯一性,是有数字资产价值的艺术品。相较于一般艺术品,它具有准物权属性和版权属性,其交易是数字资产权属交易和版权许可使用的复合行为。NFT数字艺术品交易分为铸造发布和链上交易两个阶段。铸造是版权法意义上的复制行为,上链发布是信息网络传播行为,后续链上交易不属于复制行为,而是准发行行为,其转售行为适用权利穷竭原则。由于载体的无形性,NFT数字艺术品持有人无法享有展览权。同时,基于智能合约中蕴含的版权许可,持有人享有非交互式传播的权利。对NFT数字艺术品非交互式传播的保护,可以考虑通过将其纳入广播权控制范围或者适用《中华人民共和国著作权法》第十条“其他权利”等途径实现。

公共图书馆涉信息网络传播权侵权纠纷裁判结果影响因素研究——基于345份判决文书的实证研究

数字化服务在公共图书馆的各项职能中占据重要地位,但因与信息网络传播权紧密相关,产生不少争议。利用345份生效判决文书,考察公共图书馆涉信息网络传播权侵权纠纷裁判结果的影响因素。研究结果表明:图书馆级别,图书馆是否实施镜像搭载、链接提供两种行为模式,法院是否采纳事前审查、事中限制、事后补救、采购使用4种裁判根据,与裁判结果存在显著的相关性。基于上述分析结果,为消弭公共图书馆与权利人之间的矛盾,公共图书馆自身应重视镜像搭载过程并加强意识转变,图书馆行业应将法律因素纳入评估定级的考量,法律层面应重视、修改合理使用制度,并完善和激活避风港规则。

基于光纤传感的铁路牵引网故障自动识别技术

由于现有的铁路牵引网故障识别方法在识别过程中易受到周围环境影响,故障识别准确率较低,因此,提出基于分布式光纤传感的铁路牵引网故障自动识别方法。构建3种牵引网故障自动识别规则,通过自动识别规则,使用分布式光纤传感对故障特征进行提取;使用变量分析对故障损伤数据进行处理,筛选符合传输的故障损伤数据进行传输,计算故障损伤数据,运用网络拓扑结构对故障特征信息进行传输;通过融合层次的诊断,进行数据的融合,得到诊断结果,实现基于分布式光纤传感的铁路牵引网故障自动识别。

基于光纤传感的铁路牵引网故障自动识别方法

由于现有的铁路牵引网故障识别方法在识别过程中易受到周围环境影响,故障识别准确率较低,因此,提出基于分布式光纤传感的铁路牵引网故障自动识别方法。构建三种牵引网故障自动识别规则,通过自动识别规则,使用分布式光纤传感对故障特征进行提取;使用变量分析对故障损伤数据进行处理,筛选符合传输的故障损伤数据进行传输,计算故障损伤数据,运用网络拓扑结构对故障特征信息进行传输;通过融合层次的诊断,进行数据的融合,得到诊断结果,实现基于分布式光纤传感的铁路牵引网故障自动识别。搭建仿真模拟模型进行实验,通过实验结果表明:在10种不同的故障类型条件下,本文设计方法在对牵引网故障损伤自动识别中,准确率最高可达到93.35%,故障识别效果较好,可满足对铁路牵引网故障自动准确识别的需求,具有一定的实际应用价值。

基于时间戳的异质信息网络数据动态加密传输

针对异质信息网络动态数据特征种类多、数据量大,在数据传输过程中易出现安全隐患等问题,提出一种基于时间戳的加密传输算法。采用DES算法建立网络数据加密种类查询表,标记关键字词字符,通过逆转换初始数据关键词的IP位置,计算得到关键词所处位置的属性、状态以及频率等信息,按照信息参数给出对应加密密钥。在此基础上,定义异质信息网络无向图,采用时间戳算法描述网络实时动态特性,划分网络中静态数据与动态数据,建立混淆矩阵,按照节点跟随时间的游走变化关系构建加密传输序列,完成最终数据加密传输。实验结果证明,所提算法的加密效果好,对任何类型的网络数据均能实现高效加密,且数据传输完整性较高。