An Analysis of the Cognitive Constraints of Parody in the Context of Network Media

The language used in the context of network media features variation, flexibility, and comprehensiveness, in which parody is one of the most employed devices. Modern cognitive science prefers to take parody as a cognitive act rather than a sheer linguistic modification act, which has provided a new prospective for further research about parody in the context of network media. This paper aims to probe into the cognitive constraints in the mechanism of parody in the context of network media, in hope to make a detailed explanation of the cognitive process of it and to strengthen the comprehension and appreciation of it.

Topic-shift in Network Media Reports

It, from the perspective of cohesion, extracts three types of topic-shift markers used in this genre, namely 'change of narrators', 'change of objects being talked about', and 'temporal adverbials' to analyze four journalistic reports from the network media and draws the conclusion that cohesion between two topic units is usually weaker than that within a specific topic fragment.

Habits on Social Networks at Workplace: A Survey of Motivations and Behaviour

This article explores the use of social networks by workers in Abidjan, Côte d’Ivoire, with particular emphasis on a descriptive or quantitative analysis aimed at understanding motivations and methods of use. More than five hundred and fifty questionnaires were distributed, highlighting workers’ preferred digital channels and platforms. The results indicate that the majority use social media through their mobile phones, with WhatsApp being the most popular app, followed by Facebook and LinkedIn. The study reveals that workers use social media for entertainment purposes and to develop professional and social relationships, with 55% unable to live without social media at work for recreational activities. In addition, 35% spend on average 1 to 2 hours on social networks, mainly between 12 p.m. and 2 p.m. It also appears that 46% believe that social networks moderately improve their productivity. These findings can guide marketing strategies, training, technology development and government policies related to the use of social media in the workplace.

Study of the permeability characteristics of porous media with methane hydrate by pore network model

The permeability in the methane hydrate reservoir is one of the key parameters in estimating the gas production performance and the flow behavior of gas and water during dissociation.In this paper,a three-dimensional cubic pore-network model based on invasion percolation is developed to study the effect of hydrate particle formation and growth habit on the permeability.The variation of permeability in porous media with different hydrate saturation is studied by solving the network problem.The simulation results are well consistent with the experimental data.The proposed model predicts that the permeability will reduce exponentially with the increase of hydrate saturation,which is crucial in developing a deeper understanding of the mechanism of hydrate formation and dissociation in porous media.

Complex Network Formation and Analysis of Online Social Media Systems

To discover and identify the influential nodes in any complex network has been an important issue.It is a significant factor in order to control over the network.Through control on a network,any information can be spread and stopped in a short span of time.Both targets can be achieved,since network of information can be extended and as well destroyed.So,information spread and community formation have become one of the most crucial issues in the world of SNA(Social Network Analysis).In this work,the complex network of twitter social network has been formalized and results are analyzed.For this purpose,different network metrics have been utilized.Visualization of the network is provided in its original form and then filter out(different percentages)from the network to eliminate the less impacting nodes and edges for better analysis.This network is analyzed according to different centrality measures,like edge-betweenness,betweenness centrality,closeness centrality and eigenvector centrality.Influential nodes are detected and their impact is observed on the network.The communities are analyzed in terms of network coverage considering theMinimum Spanning Tree,shortest path distribution and network diameter.It is found that these are the very effective ways to find influential and central nodes from such big social networks like Facebook,Instagram,Twitter,LinkedIn,etc.

Followers of the Social Media Network and National Security

With the social media networks development quickly, the followers of the social media network＇ s behaviors have taken a lot of damagers and threats to national security, and made the nation into unstable situations, even subverted the national sovereignty .This paper analyzes the characters of the followers of the social media in the Ira, Tunisia, Egypt and Libya＇s turmoil, concludes constructive suggestions how to ensure national stability and harmonious development, has some positive effect to our national security.

AN ADAPTIVE OPPORTUNISTIC RETRANSMISSION CONTROL SCHEME ENVIRONMENT-AWARE-BASED FOR WIRELESS MULTIMEDIA MESH NETWORKS

In this paper, we propose an aware-based adaptive opportunistic retransmission control scheme for wireless multimedia Mesh networks. The proposed scheme provides maximum retransmis-sion count optimization based on environment-aware to improve packet relay probability. The scheme discriminates the types of packet loss in wireless link by means of environment information and selects the retransmission count by taking the IEEE 802.11 wireless channel characteristics into consideration. Furthermore, the maximum retransmission count of MAC is adjusted adaptively. Extensive simulations demonstrate that the proposed scheme significantly reduces packet collision probability and packet loss rate, and thus improves network throughput.

BulkTree: an overlay network architecture for live media streaming

Peer-to-peer (P2P) systems are now very popular. Current P2P systems are broadly of two kinds, structured and unstructured. The tree structured P2P systems used technologies such as distributed hash tables (DHT) and hierarchical clustering can search the required target quickly, however, in a tree, the internal node has a higher load and its leave or crash often causes a large population of its offspring's problems, so that in the highly dynamic Internet environment the tree structure may still suffer frequent breaks. On the other hand, most widely used unstructured P2P networks rely on central directory servers or massive message flooding, clearly not scalable. So, we consider both of the above systems' advantages and disadvantages and realize that in the P2P systems one node may fail easily, but that when a number of nodes organized as a set, which we call "super node", the set is robust. Super nodes can be created and updated aware of topology-aware, and used with simple protocol such as flooding or "servers" to exchange information. Furthermore the entire robust super node can be organized into exquisite tree structure. By using this overlay network architecture, P2P systems are robust, efficient, scalable and secure. The simulation results demonstrated that our architecture greatly reduces the alteration time of the structure while decreasing the average delay time, compared to the common tree structure.

Security Threat and Data Consumption as Mojor Nuisance of Social Media on Wi-Fi Network

This research is about the nuisances of social media applications on a Wi-Fi network at a university campus in Ghana. The aim was to access the security risk on the network, the speed of the network, and the data consumption of those platforms on the network. Network Mapper (Nmap Zenmap) Graphical User Interface 7.80 application was used to scan the various social media platforms to identify the protocols, ports, services, etc. to enable in accessing the vulnerability of the network. Data consumption of users’ mobile devices was collected and analyzed. Device Accounting (DA) based on the various social media applications was used. The results of the analysis revealed that the network is prone to attacks due to the nature of the protocols, ports, and services on social media applications. The numerous users with average monthly data consumption per user of 4 gigabytes, 300 megabytes on social media alone are a clear indication of high traffic as well as the cost of maintaining the network. A URL filtering of the social media websites was proposed on Rockus Outdoor AP to help curb the nuisance.

PARAMETERS INVERSION OF FLUID-SATURATED POROUS MEDIA BASED ON NEURAL NETWORKS

The multi- layers feedforward neural network is used for inversion ofmaterial constants of fluid-saturated porous media. The direct analysis of fluid-saturated porousmedia is carried out with the boundary element method. The dynamic displacement responses obtainedfrom direct analysis for prescribed material parameters constitute the sample sets training neuralnetwork. By virtue of the effective L-M training algorithm and the Tikhonov regularization method aswell as the GCV method for an appropriate selection of regu-larization parameter, the inversemapping from dynamic displacement responses to material constants is performed. Numerical examplesdemonstrate the validity of the neural network method.

基于网络媒介数据的城市风貌研究综述

随着互联网技术的快速发展,大量的网络媒介数据成为城市研究新的数据源,同时也为城市风貌研究提供海量数据样本和新的研究思路。首先对城市风貌研究中常用的三种数据源(图片、文字和视频)进行对比分析,分别总结其数据特点和研究方法,随后从风貌特征识别(结构特征、变量类型特征和具象空间偏好特征)、城市环境评价(物质环境评价、主观情绪和感知评价)和风貌感知影响机制(空间、社会、经济等多维要素以及媒介技术内容、形式和传播特性的影响)三方面综述了网络媒介数据在城市风貌研究中的应用。最后,对现有研究成果进行总结,分析网络媒介数据在城市研究和规划管控中的巨大应用潜力以及数据缺陷与研究局限性,并探讨未来相关研究的方向和重点。

移动边缘网络中基于QoE的网络媒体流卸载算法

针对移动边缘计算中新兴网络媒体流业务面临的高时延、高能耗、高带宽、低用户体验质量(QoE)等问题,提出一种基于QoE反馈配置卸载(QFCO)算法。首先,联合考虑预处理和优先级划分,从而最大化网络资源利用率,并为计算任务赋予不同的权重建立资源分配关系;然后,综合考虑截止时间、计算资源、功率和带宽等约束,以任务时延、能耗和精确度加权和为优化目标建立QoE模型,利用拉格朗日乘数法求解。仿真结果表明,相比深度增强学习在线卸载(DROO)算法,所提算法可有效实现资源的整体优化配置,更好地提升用户体验质量。

辅助大学物理课程及思政建设的教学实践——搭建网络媒体新平台

加强科普教育和思政建设是高校创新人才培养的重要内容,大学物理课程是良好载体,网络媒体是目前流行的信息传播模式.基于此,通过搭建网络媒体新平台,对大学物理辅助教学进行设计,融入思政教育,达到教学辅助、思政育人、广泛科普的目的.现已开设微信科普公众号,发布媒体超110个,关注人数超800人,浏览次数达数万次,并举办了科普知识竞赛和开放话题热点讨论等,媒体新平台的搭建和运行良好,较好地达到了预期目标.

新媒体背景下制浆造纸专业协同育人教育模式应用研究

新媒体络技术的不断发展以及中国轻化工产业的改革与升级,培养具有扎实专业技能以及综合能力较强的人才已成为轻化工产业结构转型升级中的重要环节。在制浆造纸专业基础上,对协同教育与互动教学的概念进行解读;总结高校内制浆造纸专业在德育教育中存在的问题;分析制浆造纸专业德育课互动教学优势特征并提出协同教育模式下制浆造纸专业教学方式;旨在为我国造纸行业培养大批高素质综合型人才。

对积极老龄化的“积极”意义的建构研究

采用语料库语言学的研究方法,以我国主流媒体的“老龄化”新闻为语料,对节点词“老年人”和“积极”的搭配词和搭配网络进行数据分析和文本解读,旨在深入探究我国主流媒体对积极老龄化国家战略中“积极”意义的构建特征和局限性。研究发现,“积极”具有与时俱进性、梯次性和系统性,同时指出“积极”意义在老年人照顾家人的经济价值、老年教育的内容涵盖范围以及老龄化社会建设的参与主体范围三个方面存在局限性。

网络媒体国际中文教师身份的叙事定位构建

从叙事定位的视角出发,以网络媒体中有关国际中文教师的报道为例,运用叙事定位分析方法,构建新闻叙事框架。通过各种话语资源的分析,在不同层级的定位中展现国际中文教师身份的构建轨迹。研究发现,网络媒体中国际中文教师身份构建主要包括自身身份认同和责任身份认同。通过叙事定位“声音”及评价的过程,将国际中文教师定位为语言教育者、中华文化传播者和国际胸怀者等身份。国际中文教师身份的构建原因包括个人因素和社会因素,两者共同作用于其多元身份的构建过程。

GatherTweet: A Python Package for Collecting Social Media Data on Online Events

Social media plays a crucial role in the organization of massive social movements. However, the sheer quantity of data generated by the events as well as the data collection restrictions that researchers encounter, leads to a series of challenges for researchers who want to analyze dynamic public discourse and opinion in response to and in the creation of world events. In this paper we present gatherTweet, a Python package that helps researchers efficiently collect social media data for events that are composed of many decentralized actions (across both space and time). The package is useful for studies that require analysis of the organizational or baseline messaging before an action, the action itself, and the effects of the action on subsequent public discourse. By capturing these aspects of world events gatherTweet enables the study of events and actions like protests, natural disasters, and elections.

网络新媒体视阈下客家议题在日传播特征分析——基于日本Google News的考察

以日本Google News中的客家相关日文报道为语料,通过文本挖掘工具KH Coder进行文本数据挖掘,发现日本网络新闻媒体的客家议题日文报道具有分布零散性及以图片报道为主的特点。报道关注的客家区域主要涉及台湾地区、福建、香港地区、广东等地,其中,台湾地区的客家关注度最高。报道聚焦客家的观光旅游、产业振兴、客家书籍出版等相关内容,形成了客家传统建筑类、台湾地区客家文化交流类、客家文学作品推介类、客家观光旅游类等四大主要议题。本文提出要充分运用Google News等网络新媒体强大的技术功能和传播优势加大客家文化的传播力度。

网络主播失范行为及伦理引导

随着4G网络的普及,网络直播日益成为人们表达情感、满足需要、开展娱乐的重要手段。在政府、媒体、大众普遍看好网络直播行业发展前景的同时,各种违规、违法、失范、失德现象也日益突出,有的甚至已经构成严重犯罪。国家虽然颁布了一系列法律法规,但是网络失范行为仍旧时有发生。常见的网络失范行为有五种形式,包括网络欺诈、网络色情、网络恶搞、网络暴力、网络侵权,它们不但污染了网络生态环境,而且有悖社会主义核心价值观及公序良俗。导致网络主播持续失范的原因很多,从“现代性的隐忧”来看,主要包括市场机制被滥用,道德情感被割裂,社会责任被破坏,职业精神被亵渎四个方面。对于一般性失范行为而言,加强道德教育与伦理引导至关重要,其可以弥补“他律”的不足,提高“自律”的效能以及降低执法的成本。从康德的“定言命令”入手,通过弘扬当代美德伦理、重构常识道德体系、践行网络社交礼仪、谨防非正常快乐观,构建传统与现代,线上与线下相统一的伦理规范,是缓解“大脱嵌”带来的痛苦,实现个人自由以及网络生态和谐的必由之路。

“转译”与“逃逸”:中国媒体融合实践聚簇中的行动者网络

运用行动者网络理论(ANT),分析中国媒体融合实践中隐含的知识生产逻辑及其“实验”特性,并从知识生产与新闻生产的角度对中国媒体融合这一混杂的现象进行阐释,引出ANT分析的必要性。通过对媒体融合过程中人类行动者的追随及其“转译”行为的分析,揭示了中国媒体融合行动者网络的复杂性和虚弱性。同时,以技术等因素为例,对媒体融合聚簇形成过程中的非人行动者及其如何被人类行动者“转译”和如何“转译”人类行动者进行分析,指出技术与社会在媒体融合实践中是互嵌的,部分行动者的存在有着不同意义。分析发现,在中国的媒体融合行动者网络中,由于主要行动者无法形成“强制通过点”,未来的媒体融合探索还将持续很长一段时间。