The collection and analysis of the data on job advertisements with the use of big data

2019 ◽  
Vol 64 (9) ◽  
pp. 60-74
Author(s):  
Jacek Maślankowski
Keyword(s):  
Big Data ◽  
Text Mining ◽  
Experimental Research ◽  
Statistical Data ◽  
The Other ◽  
Web Scraping ◽  
Job Advertisements ◽  
Mining Methods ◽  
The One ◽  
Job Searching

The goal of this paper is to present, on the one hand, the benefits for offi-cial statistics (labour market) resulting from the use of web scraping methods to gather data on job advertisements from websites belonging to big data compilations, and on the other, the challenges connected to this process. The paper introduces the results of experimental research where web-scraping and text-mining methods were adopted. The analysis was based on the data from 2017–2018 obtained from the most popular job-searching websites, which was then collated with Statistics Poland’s data obtained from Z-05 forms. The above-mentioned analysis demonstrated that web-scraping methods canbe adopted by public statistics services to obtain statistical data from alternative sourcescomplementing the already-existing databases, providing the findings of such researchremain coherent with the results of the already-existing studies.

scholarly journals North Perspectives for a Better South? Big Data and the Global South in Big Data & Society

2019 ◽  
pp. 84-107
Author(s):  
Guilherme Cavalcante Silva
Keyword(s):  
Social Sciences ◽  
Big Data ◽  
Global South ◽  
The Other ◽  
The South ◽  
Local Data ◽  
Social Scientists ◽  
Data Practices ◽  
Academic Scholarship ◽  
The One

Over the last few years, data studies within Social Sciences watched a growth in the number of researches highlighting the need for more proficuous participation from the Global South in the debates of the field. The lack of Southern voices in the academic scholarship on the one hand, and of recognition of the importance and autonomy of its local data practices, such as those from indigenous data movements, on the other, had been decisive in establishing a Big Data in the South agenda. This paper displays an analytical mapping of 131 articles published from 2014-2016 in Big Data & Society (BD&S), a leading journal acknowledged for its pioneering promotion of Big Data research among social scientists. Its goal is to provide an overview of the way data practices are approached in BD&S papers concerning its geopolitical instance. It argues that there is a tendency to generalise data practices overlooking the specific consequences of Big Data in Southern contexts because of an almost exclusive presence of Euroamerican perspectives in the journal. This paper argues that this happens as a result of an epistemological asymmetry that pervades Social Sciences.

De rol van de burgemeester

Res Publica ◽  
1997 ◽  
Vol 39 (1) ◽  
pp. 27-44
Author(s):  
Johan Ackaert
Keyword(s):  
Role Models ◽  
Statistical Data ◽  
The Other ◽  
Community Life ◽  
Other Hand ◽  
Educational Degree ◽  
The One ◽  
Individual Service

This article confronts several theoretical role-models about mayor's behaviour with their own perception. For this purpose, the statistical data is drawn from a survey among Flemish mayors. Mayors perceive the ''father of the community" role as the most prevailing one. This perception is reflected in their timespending. More than 1/4 of their time is dedicated towards activities such as participation in the community life, individual service rendering to citizens and having individual contacts with them.The father of the community' role lives strongly among mayors with a lower educational degree and less among the higher educated ones. It is also more perceived among mayors being recent office-bolders, while the more experienced ones seem more to maintain a certain distance from this role. Moreover, mayors with a lower educational degree are recordholders in having individual contacts with citizens. Finally, no relation has been found between roleperception and timespending on the one hand and party background on the other hand.

Coding Inequality

2020 ◽  
pp. 100-117
Author(s):  
Sarah Brayne
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Data Analytics ◽  
Social Inequalities ◽  
Big Data Analytics ◽  
The Other ◽  
Surveillance Network ◽  
Data Intensive ◽  
The One ◽  
Reproduction Of Inequality

This chapter looks at the promise and peril of police use of big data analytics for inequality. On the one hand, big data analytics may be a means by which to ameliorate persistent inequalities in policing. Data can be used to “police the police” and replace unparticularized suspicion of racial minorities and human exaggeration of patterns with less biased predictions of risk. On the other hand, data-intensive police surveillance practices are implicated in the reproduction of inequality in at least four ways: by deepening the surveillance of individuals already under suspicion, codifying a secondary surveillance network of individuals with no direct police contact, widening the criminal justice dragnet unequally, and leading people to avoid institutions that collect data and are fundamental to social integration. Crucially, as currently implemented, “data-driven” decision-making techwashes, both obscuring and amplifying social inequalities under a patina of objectivity.

The Pattern of Economic Growth

2020 ◽  
pp. 66-98
Author(s):  
Tirthankar Roy
Keyword(s):  
Economic Growth ◽  
Statistical Data ◽  
Average Rate ◽  
Economic Change ◽  
National Income ◽  
The Other ◽  
Colonial India ◽  
Definite Pattern ◽  
Per Capita ◽  
The One

Economic change in colonial India followed a definite pattern. Chapter 3 describes the pattern with statistical data. The chapter shows that the average rate of growth of national income per capita was low, but that the average picture is misleading since the experiences of agriculture on the one hand and industry and services on the other differed greatly. The presence of dissimilar trajectories complicates the task of explaining the pattern of change. The chapter suggests that instead of asking if colonialism and globalization made India rich or poor, we should be asking why colonialism and globalization made some livelihoods rich and left some others poor. Chapter 3 surveys the statistical data that enables asking question like this one.

scholarly journals Method for a cloud based remaining-service-life-prediction for vehicle-gearboxes based on big-data-analysis and machine learning

2020 ◽  
Vol 84 (4) ◽  
pp. 305-314
Author(s):  
Daniel Vietze ◽  
Michael Hein ◽  
Karsten Stahl
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
Service Life ◽  
Operating Time ◽  
The Other ◽  
Learning Approaches ◽  
State Of Health ◽  
Remaining Service Life ◽  
Other Hand ◽  
The One

AbstractMost vehicle-gearboxes operating today are designed for a limited service-life. On the one hand, this creates significant potential for decreasing cost and mass as well as reduction of the carbon-footprint. On the other hand, this causes a rising risk of failure with increasing operating time of the machine. Especially if a failure can result in a high economic loss, this fact creates a conflict of goals. On the one hand, the machine should only be maintained or replaced when necessary and, on the other hand, the probability of a failure increases with longer operating times. Therefore, a method is desirable, making it possible to predict the remaining service-life and state of health with as little effort as possible.Centerpiece of gearboxes are the gears. A failure of these components usually causes the whole gearbox to fail. The fatigue life analysis deals with the dimensioning of gears according to the expected loads and the required service-life. Unfortunately, there is very little possibility to validate the technical design during operation, today. Hence, the goal of this paper is to present a method, enabling the prediction of the remaining-service-life and state-of-health of gears during operation. Within this method big-data and machine-learning approaches are used. The method is designed in a way, enabling an easy transfer to other machine elements and kinds of machinery.

Decreasing the Adhesion Effect of Surfaces Using Graphite Pellicle Deposition through Electric Discharges in Pulse

2014 ◽  
Vol 1036 ◽  
pp. 172-177 ◽  
Author(s):  
Pavel Topala ◽  
Vitalie Besliu ◽  
Laurentiu Marin
Keyword(s):  
Experimental Research ◽  
Metal Surfaces ◽  
The Other ◽  
Electric Discharges ◽  
Polyurethane Adhesive ◽  
Test Pieces ◽  
Other Hand ◽  
The One ◽  
Adhesion Effect

The paper aims at studying the phenomenon of adhesion between the graphite pellicles deposited through electric discharges in pulse (EDI) with metal surfaces subjected to processing on the one hand and on the other hand the adhesion of this pellicle with a polyurethane adhesive. Experimental research has shown that, when the surfaces are not treated, the shear occurs in the adhesive, when the test pieces are covered with graphite pellicles the shear occurs on the surface that separates the pellicle from the adhesive. It has been stated experimentally that graphite pellicles deposited through electric discharges in pulse decrease the adhesion between the mating surfaces by at least 40% compared to the not treated surfaces.

scholarly journals Analysis of User Sentiment of Twitter to Draft KUHP

2020 ◽  
Vol 16 (3) ◽  
pp. 273
Author(s):  
Nawang Indah Cahyaningrum ◽  
Danty Welmin Yoshida Fatima ◽  
Wisnu Adi Kusuma ◽  
Sekar Ayu Ramadhani ◽  
Muhammad Rizqi Destanto ◽  
...  
Keyword(s):  
Social Media ◽  
Text Mining ◽  
Sentiment Analysis ◽  
The Other ◽  
Mining Methods ◽  
Twitter Users ◽  
Negative Sentiment ◽  
Bahasa Indonesia

Twitter is one of social media where its user can share many responses for a phenomenon through a tweet. This research used 5000 tweets from Twitter users in Bahasa Indonesia with keyword “RUU KUHP(Draft Law of KUHP)” from 16th of September until 22nd of September 2019. That tweets were processed using Rstudio software with sentiment analysis that is one of Text Mining methods. This research aims to classify Twitter users’ responses to RUU KUHP to be negative sentiment, poisitive negative, and neutral. Also, this research also aims to know about topics’ frequencies that were related to RUU KUHP through visualization with bar plot and also wordcloud. This research also aims to know words that are associated with the most frequent words. Form this research, can be known that Twitter users’ responses to RUU KUHP tend to have neutral sentiment that means they did not take side between agreeing or disagreeing. From this research, also can be known about 10 most frequent words, there are kpk, tunda, dpr, pasal, kesal, jokowi, presiden, masuk, ya, and sahkan. Beside that, can be known the other words that are associated with them and also their probability.

scholarly journals Gender Parity in Spain: Attainments and Remaining Challenges

2021 ◽  
Vol 11 (1) ◽  
pp. 4
Author(s):  
Isabel Árbol-Pérez ◽  
Francisco Entrena-Durán
Keyword(s):  
Qualitative Methodology ◽  
Statistical Data ◽  
Participant Observation ◽  
The Other ◽  
Gender Inequalities ◽  
Legal Regulations ◽  
Gender Parity ◽  
The One ◽  
Qualitative Methodologies ◽  
Made In

The purpose of this article is to study the progress made in Spain in terms of gender parity and the challenges still pending to be achieved in this regard. To attain this objective, first of all, the authors review the successive legal regulations aimed at reaching gender equality that have been enacted in Spain. Furthermore, the considerations and findings made are based on the use of quantitative and qualitative methodologies. On the one hand, from a quantitative viewpoint, different statistical data provided mainly by the Spanish Statistics National Institute are analyzed. From these data, the authors prepare a set of tables and figures that allow them to show that, despite the undoubted legislative advances attained, clear gender inequalities continue in Spain. On the other hand, the authors base their assertions both on their participant observation and on a reinterpretation and reanalysis of the results of two previous qualitative researches. One of the most remarkable outcomes of the use of this qualitative methodology is the persistence in Spain of diverse signs of macho mentality. This persistence not only manifests itself among many men, it is also shared by a large number of women.

scholarly journals Postdigital Research

2014 ◽  
Vol 3 (1) ◽  
pp. 4-7 ◽  
Author(s):  
Christian Ulrik Andersen ◽  
Geoff Cox ◽  
Georgios Papadopoulos
Keyword(s):  
Big Data ◽  
New Media ◽  
Digital Technology ◽  
Critical Reflection ◽  
The Other ◽  
The One

"Post-digital, once understood as a critical reflection of “digital” aesthetic immaterialism, now describes the messy and paradoxical condition of art and media after digital technology revolutions. “Post-digital” neither recognizes the distinction between “old” and “new” media, nor ideological affirmation of the one or the other. It merges “old” and “new”, often applying network cultural experimentation to analog technologies which it re-investigates and re-uses. It tends to focus on the experiential rather than the conceptual. It looks for DIY agency outside totalitarian innovation ideology, and for networking off big data capitalism. At the same time, it already has become commercialized."

Soviet Resettlement Policy in the Second Half of the 1940s – 1980s: The Experience of the RSFSR

2021 ◽  
Vol 1 (4) ◽  
pp. 33-42
Author(s):  
Sergey Piskunov
Keyword(s):  
Agricultural Sector ◽  
Statistical Data ◽  
Migration Policy ◽  
The State ◽  
The Other ◽  
Urban Residents ◽  
State Institutions ◽  
Demographic Processes ◽  
The Russian Federation ◽  
The One

The article examines the problem of the formation of the Soviet resettlement policy in the context of a decrease in the rural population of donor regions in the second half of the 40s - 80s. XX century on the example of the RSFSR. To achieve this goal, many historical documents were analyzed and summarized, which are contained mainly in the central archives of the Russian Federation. Such changes were caused, on the one hand, by a decrease in natural growth in the regions that were traditionally places of departure for new settlers, on the other hand, by a change in the settlement structure. Despite the demographic processes negative for the implementation of the resettlement policy, the country's leadership did not abandon this method of redistributing residents of some regions of the state in favor of others. It is noted that, while preserving the planned agricultural resettlement as a tool for increasing the demographic potential in certain regions and mitigating the shortage of labor in the enterprises of the agricultural sector, the Center inevitably faced the problem of finding sources for the formation of resettlement flows. From the beginning of the 1980s the solution to this problem in the USSR was ensured by several factors: firstly, the spread of the practice of intraregional resettlement; secondly, the inclusion of urban residents in the number of planned migrants, and not just villagers, as it was before; thirdly, the involvement of the inhabitants of Central Asia and the Transcaucasus in the organized migration. It is important to note that the article provides the information on the geography of the places of exodus for the second half of the 1940s – 1980s. indicating the most significant (by the number of people sent). Reflection of statistical data with a wide temporal and geographical coverage makes it possible to trace changes, on the one hand, in the intensity of migration ties between donor and recipient regions, and on the other, in the state policy of resettlement. The article is addressed to representatives of the scientific community (historians and demographers) and state institutions responsible for the development of modern migration policy.

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