Architecture of a distributed system for processing heterogeneous data from social networks

2020 ◽  
Vol 4 ◽  
pp. 97-100
Author(s):  
A.P. Pronichev ◽  
Keyword(s):  
Social Networks ◽  
Data Analysis ◽  
Distributed System ◽  
Heterogeneous Data ◽  
Analysis Process ◽  
Support Costs

The article discusses the architecture of a system for collecting and analyzing heterogeneous data from social networks. This architecture is a distributed system of subsystem modules, each of which is responsible for a separate task. The system also allows you to use external systems for data analysis, providing the necessary interface abstraction for connection. This allows for more flexible customization of the data analysis process and reduces development, implementation and support costs.

Ricerca preliminare sulla valutazione Italiana dell'Internet Disorder Scale – Short Form (IDS9-SF)

2019 ◽  
Author(s):  
Paolo Soraci
Keyword(s):  
Social Networks ◽  
Factor Analysis ◽  
Data Analysis ◽  
Concurrent Validity ◽  
Short Form ◽  
Analysis Techniques ◽  
Validity Criterion ◽  
Preliminary Research ◽  
Nomological Validity ◽  
Italian Territory

The purpose of this study is to create a new tool capable of diagnosing the severity of internet addiction (IA) and is based on the nine IGD criteria. These same criteria were suggested by the APA in the last edition of the DSM-51. A sample was recruited with a method of convenience and 300+ participants were recruited through different forums and social networks. The construct validity of the IDS9SF test was achieved through factor analysis and nomological validity. The concurrent validity, criterion and reliability of the test itself have been thoroughly investigated through the most common and consolidated data analysis techniques, confirming that the same test has sufficient psychometric properties to be used also in the Italian territory. Furthermore it is necessary to remember that this preliminary research is only valid in the field of data and statistics with all the limitations of the case and cannot be used for a real clinical evaluation.

scholarly journals Hubungan Budaya Sekolah Dan Keteladanan Guru Dengan Karakter Siswa Sekolah Dasar Negeri 050772 Kecamatan Pangkalan Susu Kabupaten Langkat

2021 ◽  
Vol 4 (1) ◽  
pp. 19-26
Author(s):  
Khairani Nasution
Keyword(s):  
Data Analysis ◽  
School Culture ◽  
Primary School ◽  
Positive Relation ◽  
Data Collection Tool ◽  
Know How ◽  
Analysis Process ◽  
Analysis Technique ◽  
Sample Data ◽  
Data Analysis Result

This research aims to know how the relation of primary School 050772 Pangkalan Susu. The sample of this research 30 student where 21% taken  of 141 students. This research uses data collection tool in the form of Likert scale. Questioner is compiled based on variabel and tested to  respondent that is not research sample. Data analysis process is conducted by using quantitative approach through three steps, they are: 1. Describing research variabel data. 2. Testing requirements analysis. 3. Testing hypotesis to reveal the relation the relation beetween research variables using correlation analysis technique. Based on data analysis result and testing process, then the conclusion is (1) the school culture has positive relation with student’s character of primary school 050772 Pangkalan Susu. This case is proved that the correlation r (0,504) > r table (0,3061) while the significance is 0,004 < 0,05; (2) the teacher’s example has positive relation with student’s character of primary School 050772 Pangkalan Susu where correlation coeficient r (0,603) > r table (0,3061) with significncy 0,006, it is fewer than 0,05; (3) School Culture and teacher’s example has positive ration with student’s character of primary school 050772 Pangkalan Susu where correlation coefisiency r (0,662) > r table (0,3061), testing result F shows that F count (10,506) > F table (3,35) while significancy < 0,05 that is 0,000. Based on the research above, it can be stated that student’s character can be formed through school culture and teacher ’s example.

scholarly journals Preprocessing Profiling Model for Visual Analytics

2020 ◽  
Author(s):  
Alessandra Maciel Paz Milani ◽  
Fernando V. Paulovich ◽  
Isabel Harb Manssour
Keyword(s):  
Data Mining ◽  
Data Analysis ◽  
Visual Analytics ◽  
Data Preprocessing ◽  
Interview Study ◽  
Raw Data ◽  
Important Stage ◽  
Analysis Process

Analyzing and managing raw data are still a challenging part of the data analysis process, mainly regarding data preprocessing. Although we can find studies proposing design implications or recommendations for visualization solutions in the data analysis scope, they do not focus on challenges during the preprocessing phase. Likewise, the current Visual Analytics processes do not consider preprocessing an equally important stage in their process. Thus, with this study, we aim to contribute to the discussion of how we can use and combine methods of visualization and data mining to assist data analysts during the preprocessing activities. To achieve that, we introduce the Preprocessing Profiling Model for Visual Analytics, which contemplates a set of features to inspire the implementation of new solutions. In turn, these features were designed considering a list of insights we obtained during an interview study with thirteen data analysts. Our contributions can be summarized as offering resources to promote a shift to a visual preprocessing.

scholarly journals The Mistakes of a Public Communication in the Ebola Crisis in Spain

2017 ◽  
Vol 11 (2) ◽  
pp. 83
Author(s):  
Rafael Barberá González ◽  
Victoria Cuesta
Keyword(s):  
Social Networks ◽  
Data Analysis ◽  
Ebola Virus ◽  
Public Information ◽  
Hemorrhagic Fever ◽  
Public Communication ◽  
Good Resolution ◽  
The Public ◽  
The Media ◽  
The Impact

This work analyzes the impact of the outbreak of hemorrhagic fever caused by the Ebola virus in Spain in the field of communication. The communication of such a crisis entails an interaction of information between individuals and institutions. Accuracy in the messages that are disseminated is key to the good resolution of the crisis. In this case of the Ebola crisis the impact in the Spanish media was very remarkable not only of the evolution of the crisis but also of the public information that were being made known by the authorities. The errors committed in this public communication, especially in the first institutional appearance, will be analyzed and possible solutions will be provided for future crises. In addition, the information behavior that was given in social networks by the authorities will be analyzed. To perform this work, bibliographical sources, data analysis and the media have been used.

scholarly journals Pelatihan Pola Ritme Sebagai Strategi Peningkatan Kualitas Pembalajaran Mata Kuliah Instrumen Gitar di Jurusan Musik FSP ISI Yogyakarta

PROMUSIKA ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 20-28
Author(s):  
Kustap Kustap ◽  
Ikhsan Lubis
Keyword(s):  
Data Analysis ◽  
Qualitative Method ◽  
Class Action ◽  
Material Objects ◽  
Rhythmic Pattern ◽  
Training Process ◽  
Interactive Model ◽  
Analysis Process ◽  
Research Material ◽  
Rhythm Pattern

Pola ritme merupakan elemen musik utama yang berkaitan langsung dengan gerakan waktu dalam musik, di mana waktu selalu bergerak dan mengatur kestabilan rasa musikal. Pola ritme sangat mentukan ketepatan hitungan dalam permainan gitar tunggal, dan bermain anasambel gitar. Pola ritme merukan objek material penelitian sedangkan proses pelatihan pola rime dalam pembelajaran mata kuliah instrumen gitar merupakan objek formal. Metode yang digunakan dalam penelitian ini adalah metode kualitatif dan tindakan kelas dengan teknik pengupulan data triangulasi, sedangkan proses analisis data menggunakan model interaktif. Hasil yang diperoleh dari penelitian ini adalah strategi latihan pola ritme yang disesuaikan dengan tanda sukat yang ada pada materi yang berupa lagu yang akan dilatih dengan instrumen gitar. moving and regulating musical stability. Rhythm patterns really determine the accuracy of counts in a single guitar game, and play guitar ensembles. Rhythm patterns are research material objects while the rime training process in learning guitar instrument subjects is a formal object. The method used in this study is a qualitative method and class action with the technique of collecting triangulation data, while the data analysis process uses an interactive model. The results obtained from this study are the rhythmic pattern training strategies that are tailored to the signs of sukat that are in the material in the form of songs that will be trained with guitar instruments.Keywords: Rhythm pattern; training; learning; guitar

Embracing tension: using Bakhtinian theory as a means for data analysis

2016 ◽  
Vol 17 (1) ◽  
pp. 20-36 ◽  
Author(s):  
Xiaoli Hong ◽  
Michelle M Falter ◽  
Bob Fecho
Keyword(s):  
Qualitative Research ◽  
Data Analysis ◽  
Qualitative Data ◽  
Multiple Perspectives ◽  
Qualitative Data Analysis ◽  
Research Participants ◽  
Analysis Process ◽  
Bakhtinian Theory ◽  
Ongoing Dialogue

In this article we introduce tension as a means for qualitative data analysis based on Mikhail Bakhtin’s dialogical theory. We first explain the foundations of Bakhtin’s theory and show the inevitability of tension in our lives and qualitative data analysis. We then offer a review of how Bakhtin’s notion of tension has manifested itself in qualitative research, which prompts us to establish a tensional approach to qualitative data analysis. Finally, we outline our framework for a tensional approach to data analysis and illustrate examples of putting this approach into practice in our own study. Our tensional approach (1) explores key moments of tension; (2) seeks out unease and discomfort; (3) involves researcher and research participants in ongoing dialogue; (4) and embraces multiple perspectives on a range of tensions during the data analysis process. It encourages uncertainties and questions instead of pursuing certainty of meaning and fixed conclusions.

A systematic view on data descriptors for the visual analysis of tabular data

2016 ◽  
Vol 16 (3) ◽  
pp. 232-256 ◽  
Author(s):  
Hans-Jörg Schulz ◽  
Thomas Nocke ◽  
Magnus Heitzler ◽  
Heidrun Schumann
Keyword(s):  
Data Analysis ◽  
Visual Analysis ◽  
Data Gathering ◽  
Climate Impact ◽  
General Concept ◽  
Basic Knowledge ◽  
Data Types ◽  
Process Data ◽  
Tabular Data ◽  
Analysis Process

Visualization has become an important ingredient of data analysis, supporting users in exploring data and confirming hypotheses. At the beginning of a visual data analysis process, data characteristics are often assessed in an initial data profiling step. These include, for example, statistical properties of the data and information on the data’s well-formedness, which can be used during the subsequent analysis to adequately parametrize views and to highlight or exclude data items. We term this information data descriptors, which can span such diverse aspects as the data’s provenance, its storage schema, or its uncertainties. Gathered descriptors encapsulate basic knowledge about the data and can thus be used as objective starting points for the visual analysis process. In this article, we bring together these different aspects in a systematic form that describes the data itself (e.g. its content and context) and its relation to the larger data gathering and visual analysis process (e.g. its provenance and its utility). Once established in general, we further detail the concept of data descriptors specifically for tabular data as the most common form of structured data today. Finally, we utilize these data descriptors for tabular data to capture domain-specific data characteristics in the field of climate impact research. This procedure from the general concept via the concrete data type to the specific application domain effectively provides a blueprint for instantiating data descriptors for other data types and domains in the future.

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