scholarly journals Práticas linguísticas em Big Data / Practical language in Big Data

2017 ◽  
Vol 10 (1) ◽  
pp. 31-52
Author(s):  
Vinícius Vargas Vieira dos Santos
Keyword(s):  
Big Data ◽  
Web 2.0 ◽  
Digital Media ◽  
Mass Communication ◽  
High Speed ◽  
Digital Data ◽  
Current Configuration ◽  
Time Space ◽  
Technology Services ◽  
High Speed Data

RESUMO: O presente artigo objetiva tratar possíveis relações entre novas mídias digitais e certos aspectos conceituais da linguagem, como significado e performatividade. Big data é o termo que se refere ao acúmulo de dados digitais que caracterizou as mídias de comunicação em massa nas duas últimas décadas e está diretamente relacionado à atual configuração da plataforma de serviços de tecnologia Web 2.0. As escalas de desmedido volume e variedade de dados digitais e altos índices de velocidade que caracterizam o Big data modificam as paisagens de contexto social, provocando, consequentemente, atualizações nas escalas da linguagem. Afinal, contextos em ambientes virtuais entram em colapso, pois ao assumir as próprias características do meio, revelam-se superdiversos, simultâneos, fragmentados, não estruturados, ausentes de marcadores familiares, excedendo escalas tradicionais de tempo, espaço e alcance social. ABSTRACT: This article aims at assimilating possible relationships among new digital media and certain conceptual aspects of language, such as meaning and performativity. Big data is a term that refers to digital data accumulation that characterized the mass communication media in the last two decades and it is directly related to the current configuration of Web 2.0 technology services platform. The scales of excessive quantity and variety of digital data and high speed data which characterize the Big data change the social context of landscapes, causing consequently updates on the scales of language. After all, contexts in virtual environments collapse, because they assume the characteristics of the environment, that is, they show themselves as superdiverse, simultaneous, fragmented, unstructured, missing family markers, exceeding traditional scales of time, space and social reach.

Lithium niobate devices in switching and multiplexing

1989 ◽  
Vol 329 (1603) ◽  
pp. 83-92 ◽  
Keyword(s):  
Lithium Niobate ◽  
High Speed ◽  
Optical Switching ◽  
Integrated Optics Devices ◽  
Photonic Switching ◽  
Time Space ◽  
Trade Offs ◽  
The Status ◽  
High Speed Data ◽  
And Performance

Integrated-optics devices in lithium niobate have reached a significant maturity in recent years, and several complex devices have been demonstrated. In addition to performing modulation of light in fibre-optic transmission systems, lithium niobate devices currently offer the only components for photonic switching. Thus lithium niobate devices can be used as spatial, temporal and wavelength switches in high-speed and low-speed systems. In these systems electronic signals control the lithium niobate switches, which process the optical information and which are optically interfaced to optical fibres. Hence I am not concerned with all-optical switching. Examples of applications are multiplexing and demultiplexing of high-speed data streams, bit-by-bit or word-by-word switching in, for example, time-space-time stages or in access couplers in high-speed bus systems. Switch arrays, generally operating at lower speeds (below 1 GHz), can be used for network rearrangement, digital crossconnect, protection switching and generally in situations where the frequency and code transparency of the devices can be used to advantage. The status of lithium niobate devices for switching is reviewed, and performance limitations (including those imposed by polarization properties) and trade-offs are discussed, emphasizing time- and space-switching devices and applications.

scholarly journals Digital Transformation, Big Data and Research Landscape in Digital Communication

2018 ◽  
Vol 3 (2) ◽  
Author(s):  
Imam Syafganti
Keyword(s):  
Big Data ◽  
Digital Media ◽  
Research Method ◽  
Social Research ◽  
Digital Data ◽  
Communication Research ◽  
Research Directions ◽  
Critical Issues ◽  
Data Source ◽  
Media Research

The digitization of communications technology has led to an intense interaction between human and digital-based technology. A large number of digital data traces produced by humans as a result of that activity. Such data is commonly referred to Big Data. The availability of Big Data as a digital data source in turn, opens opportunities for communication scientists to be able to use that data to get the patterns and trends of human activities that have been done through social research. It is necessary to understand the basic concept of the Big Data, using appropriate tools and adequate access to the data, and appropriate research method in order to be able to conduct research by using such digital data. This paper aims to describe the potential of Big Data for the purposes of communication research, the use of appropriate tools, techniques and methods and to identify potential research directions in the digital realm. Some limitations and critical issues related to the research validity, population and sample, as well as ethics in digital media research method were also discussed.

The data warehouse for primary geological and geophysical data: an aspect of creation

2020 ◽  
Vol 1 (4) ◽  
pp. 45-49
Author(s):  
Oleg Zurian ◽  
O. Likhosherstov
Keyword(s):  
Big Data ◽  
Data Warehouse ◽  
High Speed ◽  
Information Technologies ◽  
Rapid Development ◽  
Geophysical Data ◽  
Digital Data ◽  
Geological Data ◽  
Big Data Technologies ◽  
Geological Prospect

The geological industry of Ukraine as a whole is sufficiently conservative. However, the development of world scientific thought and the improvement of the mineral extraction technologies require a rethinking of primary geological data (PGD). During the Soviet times, there was a rapid development of geological prospecting activities with creation and accumulation of PGD’s large volumes. Reinterpretation and rethinking of this information using the latest techniques, approaches and technologies is an important issue. An important aspect is to save this information, because large number of PGD remains on paper. The only way to facilitate the circulation of PGD and ensure their proper storage is to create a centralized digital data warehouse using the latest information technologies for storing, processing and analyzing data. Such actions should ensure the rapid retrieval and analysis of PGD, facilitate the planning of geological prospect and ensure overall performance, including economic efficiency. The article discusses aspects of data warehouse creating for primary geological and geophysical data. The infrastructure, architecture and creating stages of the data warehouse for primary geological data are highlighted. The authors are examined the technological approaches, stages of work on the data warehouse creation. Modern technologies, including technologies associated with Big Data, are considered as those that should be oriented to performers of work. Primary geological data is partially structured or unstructured, and its volumes are constantly growing with high speed. The introduction of modern Big Data technologies will allow creating flexible powerful systems that must ensure horizontal scaling of the system in terms of computing power and storage size, and carry out operational primary processing and analysis of the data, that the user needs.

scholarly journals Climate risks, digital media, and big data: following communication trails to investigate urban communities' resilience

2019 ◽  
Vol 19 (7) ◽  
pp. 1485-1498 ◽  
Author(s):  
Rosa Vicari ◽  
Ioulia Tchiguirinskaia ◽  
Bruno Tisserand ◽  
Daniel Schertzer
Keyword(s):  
Big Data ◽  
Digital Media ◽  
Urban Areas ◽  
Visual Observation ◽  
Digital Data ◽  
Urban Resilience ◽  
Seine River ◽  
Incidence Graph ◽  
River Flood ◽  
Key Terms

Abstract. Today, when extreme weather affects an urban area, huge numbers of digital data are spontaneously produced by the population on the Internet. These “digital trails” can provide insight into the interactions existing between climate-related risks and the social perception of these risks. According to this research “big data” exploration techniques can be exploited to monitor these interactions and their effect on urban resilience. The experiments presented in this paper show that digital research can amplify key issues covered by digital media and identify the stakeholders that can influence the debate, and therefore the community's attitudes towards an issue. Three corpora of Web communication data have been extracted: press articles covering the June 2016 Seine River flood, press articles covering the October 2015 Alpes-Maritimes flood, and tweets on the 2016 Seine River flood. The analysis of these datasets involved an iteration between manual and automated extraction of hundreds of key terms, aggregated analysis of publication incidence and key term incidence, graph representations based on measures of semantic proximity (conditional distance) between key terms, automated visualisation of clusters through Louvain modularity, visual observation of the graph, and quantitative analysis of its nodes and edges. Through this analysis we detected topics and actors that characterise each press dataset, as well as frequent co-occurrences and clusters of topics and actors. Profiling of social media users gave us insights into who could influence opinions on Twitter. Through a comparison of the three datasets, it was also possible to observe how some patterns change over time, in different urban areas and in different digital media contexts.

scholarly journals Climate risks, digital media, and big data: following communication trails to investigate urban communities' resilience

2018 ◽  
Author(s):  
Rosa Vicari ◽  
Ioulia Tchiguirinskaia ◽  
Daniel Schertzer
Keyword(s):  
Big Data ◽  
Digital Media ◽  
Urban Areas ◽  
Visual Observation ◽  
Digital Data ◽  
Urban Resilience ◽  
Seine River ◽  
Climate Risks ◽  
River Flood ◽  
Key Terms

Abstract. Nowadays, when extreme weather affects an urban area, huge amounts of digital data are spontaneously produced by the population on the Internet. These digital trails can provide an insight on the interactions existing between climate related risks and the social perception of these risks. According to this research big data exploration techniques can be exploited to monitor these interactions and their effect on urban resilience. The experiments presented in this paper show that digital research can bring out the most central issues in the digital media, identify the stakeholders that have the capacity to influence the debate and, therefore, the community attitudes towards an issue. Three corpora of Web communication data have been extracted: press news covering the June 2016 Seine River flood; press news covering the October 2015 Alpes-Maritimes flood; tweets on the 2016 Seine River flood. The analysis of these datasets involves an iteration between manual and automated extraction of hundreds of key terms, network representations based on key terms co-occurrences, automated cluster visualisation based on adjacency matrix, and profiling of social media users. Visual observation of the network coupled to quantitative analysis of its nodes and edges allow obtaining an in-depth understanding of the most prominent topics and actors, as well as of the connections and clusters that these topics and actors tend to form in the journalistic sphere. Through a comparison of the three datasets, it is also possible to observe how these patterns change over time, in different urban areas and in different digital media contexts.

scholarly journals SDN Low Latency for Medical Big Data Using Wavelets

2017 ◽  
Vol 1 (1) ◽  
pp. 28
Author(s):  
Fadia Shah ◽  
Jianping Li ◽  
Raheel Ahmed Memon
Keyword(s):  
Big Data ◽  
High Speed ◽  
Data Availability ◽  
Low Latency ◽  
Human Beings ◽  
New Era ◽  
Recommended Treatment ◽  
Use Of Technology ◽  
High Speed Data ◽  
Medical Big Data

New era is the age of 5G. The network has moved from the simple internet connection towards advanced LTE connections and transmission. The information and communication technology has reshaped telecommunication. For this, among many types of big data, Medical Big Data is one of the most sensitive forms of data. Wavelet is a technical tool to reduce the size of this data to make it available for the user for more time. It is also responsible for low latency and high speed data transmission over the network. The key concern is the Medical Big Data should be accurate and reliable enough so that the recommended treatment should be the concerned one. This paper proposed the scheme to support the concept of data availability without losing crucial information, via Wavelet the Medical Data compression and through SDN supportive architecture by making data availability over the wireless network. Such scheme is in favor of the efficient use of technology for the benefit of human beings in the support of medical treatments.

scholarly journals PR 2.0 and interaction of Turkish Brands in Terms of Brand Awareness

2012 ◽  
Vol 3 (9) ◽  
pp. 63-76
Author(s):  
Ece BABAN
Keyword(s):  
Social Media ◽  
Public Relations ◽  
Web 2.0 ◽  
Digital Media ◽  
Mass Communication ◽  
Target Population ◽  
Brand Awareness ◽  
Web Pages ◽  
Technological Developments ◽  
Internet Networks

Today, under the affect of market conditions, companies prefer social media channel with the aim of reaching their target population, interacting with their customers directly and expressing their brands more powerfully in the market. Companies are trying to perform new strategies for creating close relationships between brand and customers, while the differentiation attempts of the companies. Nowadays, the Internet phenomenon is one of the most important factors in this regard. People spend most of their times at the computer and internet networks. In the 1990s, with the spread of internet and mobile phones, public relations activities moved to electronic and digital media of mass communication as a one-way by using e-mail, SMS and fax machine tools Jalali, 2009:32 . In the 2000s, by the development in web area, with the help of 2.0 patches, people can also edit the pages instead of just reading the written pages through the web pages. In today's competitive environment and the developments that followed the progress of technology companies and companies with a progressive web influenced by these developments and the opportunities created by social media, they introduce their products and services and increase customer satisfaction for better uses. PR activities which use Web 2.0 and technological developments in social media environment are called PR 2.0 Jalali, 2009:45 . Throughout the research, PR 2.0 activities within the scope of the contribution of brand awareness through social media, especially in comparison with traditional PR will be discussed. Brands will be examined regarding the brands which are actively using the social media in terms of the public relations and brand awareness. Brands can be listed in four different business sectors such as; Mavi Jeans, Anadolu Efes Pilsen, Garanti Bankası and ETI. Keywords: Brand Recognition, PR 2.0, Social Media, Web 2.0.

scholarly journals THE DEAD SPEAK: BIG DATA AND DIGITALLY MEDIATED DEATH

2020 ◽  
Author(s):  
Justin Grandinetti ◽  
Tyler DeAtley ◽  
Jeffery Bruinsma
Keyword(s):  
Big Data ◽  
Digital Media ◽  
Streaming Media ◽  
Economic Value ◽  
Digital Data ◽  
Data Streaming ◽  
Loved One ◽  
User Data ◽  
The Dead ◽  
The Individual

In the following panel, we add to scholarly challenges regarding the binary distinction between life and death by examining new strategies of making productive the data of the dead. Digital media and tactics of big data collection, storage, and processing blur the boundaries of human lifecycles, allowing the individual to exist as a productive part of sociotechnical apparatuses long after their corporeal demise. Specifically, our presentations on digital data and death focus on the topics of subjectivation, consent and privacy, and commodification. Reanimator: Haunted Data, Streaming Media, and Subjectivity examines the process of subjectivation taking into account the haunted data and digital afterlives of streaming media. Here, the living and bounded subject is challenged by compositions of big data, platforms, infrastructures, and algorithms that offer the possibility of a productive sociotechnical economic subject unbounded from the human body. Grief by the Byte: Constructions of Data Consent, Privacy, and Stability in Griefbots interrogates the data practices and ethics related to the creation of chatbots from the data of deceased individuals. While “griefbots” are framed as helpful to those grieving a lost loved one, there remain questions about consent and privacy that accompany these interactions. Finally, What is Dead May Never Die: The Commodification of Death in Social Media studies how user data maintains economic value after death via networks designed to surveil, collect, and commodify the immaterial labor of the dead. These practices enable a possible economic future largely influenced by the data of the dead.

Big Data and Communication Research

2016 ◽  
Author(s):  
Ralph Schroeder
Keyword(s):  
Big Data ◽  
Digital Media ◽  
Interpersonal Communication ◽  
Political Communication ◽  
Mobile Communication ◽  
Analytical Framework ◽  
Digital Data ◽  
Communication Research ◽  
Or Groups ◽  
Filter Bubble

Communication research has recently had an influx of groundbreaking findings based on big data. Examples include not only analyses of Twitter, Wikipedia, and Facebook, but also of search engine and smartphone uses. These can be put together under the label “digital media.” This article reviews some of the main findings of this research, emphasizing how big data findings contribute to existing theories and findings in communication research, which have so far been lacking. To do this, an analytical framework will be developed concerning the sources of digital data and how they relate to the pertinent media. This framework shows how data sources support making statements about the relation between digital media and social change. It is also possible to distinguish between a number of subfields that big data studies contribute to, including political communication, social network analysis, and mobile communication. One of the major challenges is that most of this research does not fall into the two main traditions in the study of communication, mass and interpersonal communication. This is readily apparent for media like Twitter and Facebook, where messages are often distributed in groups rather than broadcast or shared between only two people. This challenge also applies, for example, to the use of search engines, where the technology can tailor results to particular users or groups (this has been labeled the “filter bubble” effect). The framework is used to locate and integrate big data findings in the landscape of communication research, and thus to provide a guide to this emerging area.

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