scholarly journals About a concept of creating a social network users information aggregation and data processing system

Author(s):  
L. V. Rudikova ◽  
O. R. Myslivec

The development of a general concept and implementation of a data-storage and analysis system for practice oriented data, one of the subsystems of which is an analytical system for the accumulation and analysis of data from users of social networks, is topical. The development of a general concept and implementation of a data-storage and analysis system for practice oriented data, one of the subsystems of which is an analytical system for the accumulation and analysis of data from users of social networks, is topical. Data that users leave about themselves in social networks can be useful in solving various tasks. The proposed article describes the subject area associated with the collection and storage of data from users of social networks. Proceeding from the subject area, the general architecture of the universal data collection and storage system is proposed, which is based on the client-server architecture. For the server side of the system, a fragment of the data model is provided, which is associated with the accumulation of data from external sources. The framework of the system architecture is described. The developed universal system is based on the information technology of data warehousing, and it has the following aspects: an expandable complex subject area, the integration of stored data that come from various sources, the invariance of stored data in time with mandatory labels, relatively high data stability, the search for necessary trade-off in data redundancy, modularity of individual system units, fl and extensibility of the architecture, high security requirements vulnerable data.The proposed system organizes the process of collecting data and filling the database from external sources. To do this, the system has a module for collecting and converting information from third-party Internet sources and sending them to the database. The system is intended for various users interested in analyzing data of users of social networks.

Author(s):  
L. V. Rudikova ◽  
V. V. Danilchik

Nowadays, it is considerable to develop a general concept and implement a system for storing and analyzing data related to socio-economic displacements of people. The population movement, related to long-term and short-term migrations, has an increasing nature, which directly affects the various fields of activity in a single country and the world community as a whole. The proposed article describes the subject area associated with socio-economic displacements of people, the key features of internal and external migrations are noted. Based on the subject area, the general architecture of the universal system of data storage and processing is proposed, which is based on the client-server architecture. A fragment of the data model, associated with the accumulation of data from external sources, is provided. General approaches of algorithms and data structures usage are proposed. The system architecture is described with the possibility of scaling both vertical and horizontal.The proposed system organizes the process of searching for data and filling the database from third-party sources. To do this, a module for collecting and converting information from third-party Internet sources and sending them to the database has developed. In the paper is noted the feature of the client application, which provides a convenient interface for analyzing data in the form of diagrams, graphs, maps, etc. The system is intended for various users interested in analyzing economic and social transfers, for example, to tourist organizations wishing to obtain statistics for a certain time, to airlines which could plan flights in one direction or another, as well as for state structures with the purpose of analyzing the migration flows of the population and developing appropriate strategy for their regulation.


Author(s):  
German Michaľčonok ◽  
Michaela Horalová Kalinová

Abstract In providing safety functions, the proposal of safety functions of control systems is an important part of a risk reduction strategy. In the specification of security requirements, it is necessary to determine and document individual characteristics and the desired performance level for each safety. This article presents the results of the experiment cluster analysis. The results of the experiment prove that the methods of cluster analysis provide a suitable tool for analyzing the reliability of safety systems analysis. Regarding the increasing complexity of the systems, we can state that the application of these methods in the subject area is a good choice.


2021 ◽  
pp. 11-15
Author(s):  
Shafik KHUZYATOV ◽  
Lenar GALIULLIN

A system was designed to detect possible violations of the operating rules of the enterprise without changing the behavior of the entire system as a whole, as well as to automatically start the assembly of the simulated behavior of a real application using unit and functional testing technologies. In the work, an analysis was made of the subject area of the work process of drivers, managers and operators. It was found that the time to find possible violations exceeds the permissible value. The audit department engaged in verification had problems with the quick unloading of potential violators. The department made unloading and manual search, which led to a longer identification of violations both from the side of drivers and managers. It is possible to solve this problem and increase the efficiency of the process by developing an automatic analysis system. An analysis of the management process was carried out. Based on the analysis, a model of system use cases was developed, from which user and functional requirements were defined and formed. A functional model of the system was introduced. The basic algorithms are described. Connections between system entities were revealed, analysis classes and detailed UML diagrams were compiled. Thus, when performing the work, all the features and nuances of the design of information systems were taken into account, then according to the presented models, you can develop an information system and implement it in various organizational structures.


2019 ◽  
Vol 73 (5) ◽  
pp. 149-160
Author(s):  
Serhii A. Lupenko ◽  
Volodymyr V. Pasichnyk ◽  
Nataliia E. Kunanets

The paper presents the axiomatic-deductive strategy of organizing the content of an academic discipline with the help of ontological approach in the e-learning systems in the field of information technologies. The authors have taken into account that the necessary property of the system of axiomatic statements is their consistency. On the basis of axiomatic-deductive strategy, new approaches to the formation of the discipline content are proposed. It is proved that the system of true statements of an academic discipline is based on its terminology-conceptual apparatus, in particular, axiomatic statements. The developed mathematical structures that describe the axiomatic-deductive substrategy of the organization of the academic discipline general statements and the taxonomically oriented substrategy of the deployment of the academic discipline content are presented in the article. This ensures the transition from the content form of representation of the set of statements of the academic discipline to its presentation by means of artificial languages of mathematical logic. The use of descriptive logic ensures the formalization of the procedure for displaying an axiomatic informal system in an axiomatic formal system. The mathematical structures describe and detail the abstract logical-semantic core of the academic discipline in the form of a group of axiomatic systems. It is noted that the basic core of the content of academic discipline contains its basic concepts and judgments. This ensures a strictly logical transition from abstract general concepts and statements to the concepts and assertions of the lower level of universality and abstraction. It is noted that in order to accommodate the content of an academic discipline is advisable to develop a taxonomically oriented sub-strategy based on the multiple application of operations of general concept division. The mathematical structures allow for analysis of a generalized structure of interactions between the verbal level of the description of the academic discipline subject area, the formal level of description of the subject area and the description of the subject area at the level of computer ontology, which is implemented through the formalization, interpretation, encoding and decoding in the computer-ontology development environment. As an example of the application of the proposed axiomatic-deductive strategy, the elements of the glossary and taxonomies of the concepts of the discipline "Computer Logic", which are embodied in the Protégé environment with the help of OWL ontology description language have been developed.


2021 ◽  
Vol 110 ◽  
pp. 05009
Author(s):  
Rodion Filippov ◽  
Yuriy Leonov ◽  
Aleksandr Kuzmenko ◽  
Timofey Shestakov

The subject of the study is the analysis of social networks and the construction of an information and analytical system to automate data monitoring and mining. Modern social network analysis systems are reviewed, and the distinguishing features of these systems are given. Various methods of social network analysis and tasks that can be solved using these methods are described. The effectiveness of the methods to determine the text sentiment is compared.


Author(s):  
O. A. Bondarenko ◽  
E. A. Kostushina ◽  
T. V. Oleynikova ◽  
D. N. Lavrov

The article is devoted to the design features of the notification module in the information-analytical system ”Educational process”. Due to the complexity and nonlinearity of the problem, it was decided to apply the system analysis method to research the subject area. In addition, the existing analogues of warning systems were considered, which made it possible to determine the maximum possible functionality of the module.


2020 ◽  
Vol 224 ◽  
pp. 03013
Author(s):  
E.P. Okhapkina ◽  
V.P. Okhapkin ◽  
A.O. Iskhakova ◽  
A.Y. Iskhakov

Due to the high level of tension in modern society, social networks are widely used for destructive management of the information space. This aspect of the use of social networks has become particularly important in the light of events taking place in the world (Hong Kong, Syria, France and Ukraine). According to statistics, about 50% of politicized active groups of social networks are subjects to targeted control actions aimed at spreading negative moods in the political sphere. The escalation of conflicts in society generates the most dangerous type of destructive information influence (DII) that require rapid, large-scale coordination of participants in order to attract new supporters and their organizations. Massive DII on the participants of social networks groups exacerbated the problem of promptly identifying the facts of influence, and created serious prerequisites for the development and improvement of methods and means of identifying DII in social networks. The relevance of this problem is due to the existence of a number of methodological and technological problems in the subject area under consideration, one of them is the lack of patterns of network messages containing elements of DII. In the study, the authors consider an approach to designing a dictionary of patterns of destructive utterances.


2021 ◽  
Vol 11 (3) ◽  
pp. 351-363
Author(s):  
A.M. Namestnikov ◽  
◽  
N.D. Pirogova ◽  
A.A. Filippov

Social networks provide researchers with the opportunity to obtain an array of text data for further analysis within a certain subject area. Each subject area has its own specific professional vocabulary and writing style. When defining the subject area of text material there is a big problem with building dictionaries, thesauri, and ontologies. In this article a linguistic ontology is considered under ontology and which is aimed to determine the subject area of text material. An algorithm for the automatic construction of an ontology based on the Wikidata knowledge graph is presented. The task is to map a set of objects of the Wikidata knowledge graph to a set of entities of a linguistic ontology. The article pro-poses an algorithm for determining the degree of belonging of the text material to the subject area. Experiments on assessing the time of building an ontology and the applicability of the obtained linguistic ontologies to the problem of determining the degree of belonging of text materials in the subject area have shown: the running time of the algorithm and the number of terms in the formed ontology are directly proportional to the number of analyzed properties and Wikidata objects; the formed linguistic ontology is applicable to the problem of determining the degree of belonging of a text to a subject area


2012 ◽  
Vol 7 (2) ◽  
pp. 183-193
Author(s):  
Barbara Grzybowska

This paper characterises the directions of innovative activities undertaken by food industry enterprises concerning the manufacturing of food products. Based on the subject literature and secondary statistical data, the status of food industry innovativeness and areas of innovative activities related to implementation of technological and non-technological innovations are presented. The activities of enterprises focus on manufacturing new products in response to the ever-changing needs and expectations of consumers. In particular, the production of so-called functional food (which seeks to promote health, minimise the risk of specific diseases, improve psychophysical fitness, lose weight, etc.) is increasingly extensive. Manufacturers must also improve the technologies and techniques of product manufacturing, packaging and storage. 


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