Network Users Research Articles

АНАЛИЗ ПРАВОВОЙ ЗАЩИТЫ БЕЗОПАСНОСТИ ПЕРСОНАЛЬНОЙ ИНФОРМАЦИИ В ЭПОХУ БОЛЬШИХ ДАННЫХ

With the advent of the era of big data, the information that people come into contact with on a daily basis is gradually being comprehensively collected and used. Thanks to the use of big data, it is possible to significantly improve the development space of various industries in our country and provide good services to network users. However, when using big data applications, the security of personal information has also been severely affected, and the leakage of personal information is relatively simple. In order to ensure the security of personal information more effectively in the era of big data, this article provides an appropriate analysis of the main characteristics of obtaining and collecting information in the era of big data in combination with the main manifestations of personal information security problems. A comprehensive analysis was also carried out from the point of view of legal protection, and at the end of the article targeted measures were proposed to counteract the legal protection of information security of personal information, in the hope of gradually increasing the level of legal protection of information security of personal information in big data. era.

Culinary Storytelling About the Local Cuisine of Phitsanulok, Thailand

Culinary tourism is part of cultural capital that could generate income for local communities if well developed. Persuasive media, presented in various ways, plays a vital role in this development. The objective of this research, to create media with interesting and informative content to persuade foreign tourists to explore local Phitsanulok cuisine. This information was in-depth interviews that were conducted with 32 government tourism officials, 9 Chief Executives of the Sub-district Administrative Organization, 2 French nationals who were qualified chefs, and other foreigners resident in the Province. The second stage included the design and production plans for media to be developed highlighting and presenting local cuisine from each of the nine districts. The planned media was refined under the theme “Phitsanulok, a culinary delight.” This process included two French nationals who were residents in the Province who had created a unique genre of Thai Chinese fusion food. The media were focused on storytelling by these and other residents who were local participants in the culinary scene in Phitsanulok Province, intending to provide a first-hand account of the local traditional cuisine, and the enhanced genre provided by the French chefs. These stories were evaluated by 7 academicians, 3 media experts, and 3 tourism entrepreneurs, also taking into account feedback and responses from 275 social network users. This showed that Phitsanulok has the potential to be developed into a cultural city, scoring 8.13 based on the UNESCO City of Gastronomy project accreditation guidelines.

A social network user behaviour data recommendation system based on fuzzy partition clustering

A social network user behaviour data recommendation system based on fuzzy partition clustering

A social network user behaviour data recommendation system based on fuzzy partition clustering

A social network user behaviour data recommendation system based on fuzzy partition clustering

Online Social Network User Home Location Inference Based on Heterogeneous Networks

Online Social Network User Home Location Inference Based on Heterogeneous Networks

GCN-LSTM: multi-label educational emotion prediction based on graph convolutional network and long and short term memory network fusion label correlation in online social networks

Although there are a lot of methods for multi-label classification in the past research, there are still many problems. For example, in the real world, labels are not necessarily independent of each other, and there may be some connection between labels. Therefore, exploring and utilizing the interdependence between labels is a key issue in current research. For example, in the photo category, a picture that contains blue sky often also contains white clouds, and in the text category, a political story is less likely to be entertainment news. Therefore, the key to improve the accuracy of multi-label classification is to effectively learn the possible correlations between each label. Therefore, we propose a novel multi-label educational emotion prediction based on graph convolutional network and long and short term memory network fusion label correlation in online social networks. This model uses Word2Vec method to train word vectors and combines graph convolutional neural network (GCN) with long and short term memory network (LSTM). The GCN is used to dig deeper word features of text, the LSTM layer is used to learn the long31 term dependence relationship between words, and the multi-granularity attention mechanism is used to assign higher weight to the affective word features. At the same time, label correlation matrix is used to complete the label feature vector and text features as the input of the classifier, and the correlation between labels is investigated. The experimental results on the open data set show that the proposed model has a good classification effect compared with other advanced methods. The research results promote the combination of deep learning and affective computing, and can promote the research of network user behavior analysis and prediction, which can be used in personalized recommendation, targeted advertising and other fields, and has wide academic significance and application prospects.

An improved model of the diffusion of Bass innovations for predicting changes in public opinion during the implementation of a narrative in social networks

During the writing of the article, the complex dynamics of forecasting public opinion based on the implementation of narratives in social networks were analyzed using Bass's innovation diffusion model. Recognizing the important role of narratives in the formation of collective views provides a basis for using Bass's innovation diffusion model to predict and understand changes in public attitudes during the introduction and implementation of narratives in social networks. On the basis of the above, the research task was set: improvement of the Bass innovation diffusion model for predicting changes in public opinion in social networks, which will directly contribute to the development of quality content by determined forces and means to create favorable conditions during the use of troops (forces) and in peacetime due to entering the coefficient of coverage of the target audience. During the writing of the article, theoretical methods were applied, namely, the analysis of research and publications on the topic of development in relation to the use of diffusion of innovations, which describes the process of how innovations are accepted by the population, the analysis of statistical data of public opinion, comparisons to identify development trends in the consumption of information in social networks, as well as synthesis to achieve the goal of the study. The article presents a mathematical apparatus that incorporates the Bass diffusion model into network behavior for modeling the spread of narratives and predicting changes in public opinion. For the first time, an approach to simulation modeling of the introduction and implementation of a narrative in a social network based on the Bass diffusion model was substantiated, which made it possible to investigate the consumer behavior of social network users under the influence of information and interpersonal communication in a social network. Integrating concepts from Bass's model, such as innovation adoption and imitative behavior, the proposed model aims to predict the dynamics of public attitudes in response to the spread of narratives.

The effect of social network users’ relationship quality on social commerce continuance: social support as a mediator

The effect of social network users’ relationship quality on social commerce continuance: social support as a mediator

The environmental footprint of e-commerce in modern conditions

The article is devoted to studying the ecological impact of e-commerce on the environment and the theoretical aspect of setting and applying sustainable development goals in this sector. As part of the work, an analysis of the growing trend of digital business model research was carried out, considering the three main goals of sustainable development. The relevance of the research is due to the rapid changes in the world, which must be responded to to provide for future generations. Such research methods were used as abstraction, synthesis, empirical research methods, the Scopus information platform's resource base, comparison method, graphic interpretation, and the VosViewer program. The article considered the main opinions of scientists regarding electronic commerce. A bibliographic analysis from the Scopus scientometric database is shown. The relationship between «e-commerce» and «sustainable development» was investigated. The dependence of Internet users over time on social network users from 2012 to 2022 was shown. This dependence was shown in the context of the growth of digital sales, which reflects trends in e-commerce, where the parallel development of Internet users and social networks took place. According to the graph, the equation of direct dependence is given and the coefficient of multiple determination - R2 is determined. In addition, it is determined to increase sales of goods worldwide with ecological delivery and ecological packaging. The implementation of environmentally friendly packaging and delivery not only contributes to the preservation of the environment, but also positively affects the image of the company, making it more attractive to customers who support sustainability and environmental responsibility. It also showed shoppers' appreciation of green alternatives for e-commerce packaging and found that people are willing to pay more for green shipping. The results of the study allow company managers and buyers to adhere to the goals of sustainable development.

Exploring the Path of Informatization Construction of Civic Education in Colleges and Universities in the Era of Melting Media

Abstract The development of informatization has increasingly become the transformation direction of the Civic Education in colleges and universities in the new media era. This paper outlines the path of civic and political information technology, in conjunction with campus networks in general, and presents a series of support mechanisms for information technology. Taking S university as a research case, firstly, Fractal Brownian motion is used to scientifically characterize the traffic of campus network users. The network group characteristics are estimated through the determination of the Hurst coefficient. Secondly, the Apriori algorithm is used to extract the association rules of online behaviors hidden in these traffic features to explore the relationship between online behaviors in time series. Finally, by combining the above features and association rules, we developed subspace clustering techniques for college students’ campus Internet usage behavior. We proposed a path for ideological education based on the clustering results. The results show that the online behavior of different students on campus shows significant differences. Class A students like to stay up late on weekends, and the number of such students online fluctuates slightly from 14:30 to 23:30. Class B students generally prefer to go online during the daytime. Class C students also have some students who stay up late, but the average duration is not long, with a maximum of 766 seconds. Class D students all stay up all night, and the peak of the mean value of the online duration occurs at 4:30. Class D students all stay up all night, and the peak of the mean value of the online duration occurs at 4:30. Category D students need to be given more attention in the management of political education.

Psychometric properties of the Providers Survey in the Brazilian context of mental health: a validation study.

Precisely determining the aspects related to an instrument's validity and reliability measures allows for greater assurance of the quality of the results. To analyze the psychometric properties of The Providers Survey in the Brazilian context of mental health services. The instrument validation study was conducted in Montes Claros, Minas Gerais, Brazil. The validation study was conducted using the Consensus-based Standards for the Selection of Health Measurement Instruments checklist to analyze its validity and reliability. A committee of expert judges performed content validation after which the Content Validity Index was calculated. Construct validation took place through Exploratory Factor Analysis using the Kaiser-Meyer-Olkin Test criterion and Bartlett's Sphericity Test. Reliability was verified using test-retest reliability. The significance level adopted for the statistical tests was 5% (P < 0.05). The final instrument comprised 54 questions. The Content Validity Index was 97%. Exploratory Factor Analysis identified a Kaiser-Meyer-Olkin index of 0.901 and Bartlett's Sphericity Test with P < 0.001. We obtained a Cronbach's alpha coefficient of 0.95 and an intraclass correlation coefficient of 0.849. The Providers Survey, translated and adapted into Portuguese, was named the Work Assessment Instrument for the Recovery of Mental Health. It presented adequate psychometric properties for evaluating work-related practices for the recovery of psychosocial care network users.

Refleksivno upravljanje putem društvenih mreža kao bezbednosni izazov

Reflective management is one of the methods used for managing complex systems. This paper examines various aspects of reflective management and its impact on social structures through social networks. Examples of reflective influence on the motivation of social network users are provided. An assessment of the consequences of reflective management on the corresponding societal structures in terms of security is also presented.

Онлайн-диффамация и проблема ее пресечения мерами гражданского права

The problem of online defamation relates to the inability of civil legislation to protect intangible assets on the Internet. Modern civil law does not regulate protection of honour, dignity, and reputation in accordance with the technical features of the Internet. The purpose of the article is to explore ways to solve the problem of online defamation. It concludes that the solution to the problem is possible by unifying the legal regulation of measures to protect against online defamation in different countries by fixing a single procedure for identifying anonymous Network users, regulating the duties of information intermediaries to identify online users and verify the published content, the conditions of responsibility of intermediaries for anonymous defamation.

Overview of Privacy Set Intersection Protocol Based on Heterogeneous Network and Social Network User Alignment

Overview of Privacy Set Intersection Protocol Based on Heterogeneous Network and Social Network User Alignment

A data mining method based on label mapping for long-term and short-term browsing behaviour of network users

A data mining method based on label mapping for long-term and short-term browsing behaviour of network users

ENERGY EFFICIENT OPERATION FOR NEXT GENERATION MASSIVE MIMO NETWORK

For the next generation of wireless networks, massive multiple-input, multiple-output (MIMO) is regarded as a potential technique. Base stations (BS) are provided with a relatively large number of antenna components in massive MIMO in order to increase spectral efficiency (SE) and energy efficiency (EE). Meanwhile, EE of BSs are becoming an increasingly important concern for communications operators in order to maintain profitability and reduce the overall negative impact on the environment and economic concerns for wireless network users. In this paper, an energy-aware, load-adaptive operation approach is proposed for massive MIMO for the next generation of wireless communication systems. Energy-aware, load-adaptive network operation has been identified as a promising method for improving the energy efficiency of telecommunication networks. Our research indicates that at optimal sumSE, fully load-adaptive massive MIMO may greatly increase network EE by up to 8.666&amp;#37;, 43.317&amp;#37;, and 69.367&amp;#37; for high, medium, and low load factors, respectively, when compared to traditional non-load-adaptive massive MIMO.

An encryption of social network user browsing trajectory data based on adversarial neural network

An encryption of social network user browsing trajectory data based on adversarial neural network

Who Invented the Possum? What Historians Can Learn from Disabled Innovation in Britain's Responaut Communities.

This article provides a new exploration of disabled innovation that transforms our understanding of collective contributions to the history of science and technology. It does so by showing how a user network galvanized individual inventions into disabled expertise by tracking the development of two technologies-the Selectascan/Possum and the adapted Loudspeaking Telephone. Hamraie and Fritsch's 2019 "Crip Technoscience Manifesto" defined "disabled expertise" by exploring how disabled technology modification has been devalued. This article takes up their manifesto's challenge to combine disability history with science and technology studies by analyzing the technologies discussed in Responaut, a British quarterly magazine published between 1963 and 1989. Responauts were people who depended on respirators to breathe. This technological interdependence meant that users adapted an extraordinary variety of technologies to live well with respirators and modify their personal environment.

Туризм как форма актуализации семейных ценностей в России

Целью исследования является анализ процессов развития семейного туризма в России как актуальной формы сохранения и упрочения традиционных духовно-нравственных ценностей. Использованы результаты научных изысканий и энциклопедические труды, посвященные истории отечественного туризма и вопросам аксиологии семьи, а также документы органов государственной власти и материалы из социальных сетей. Представлена история становления семейных путешествий в XIX в., рассмотрен опыт развития семейных путешествий в СССР, охарактеризовано современное состояние семейного туризма в России. Проанализированы государственные программы и общественные инициативы поддержки семейных путешествий. Развитие семейного туризма изучено на конкретных примерах, связанных с информационно-просветительной деятельностью российских пользователей социальных сетей. Выявлены факторы развития семейных путешествий в России, сформулированы рекомендации, относящиеся к вопросам совершенствования их организации и популяризации. The aim of the study is to analyze the processes of development of family tourism in Russia as a relevant form of preserving and strengthening traditional spiritual and moral values. The results of scientific research and encyclopedic works on the history of domestic tourism and issues of family axiology, as well as documents from government bodies and materials from social networks were used. Family tourism in the form of family travel is for the first time considered as part of the organizational and methodological system for the development of domestic tourism in Russia. The research employed a systemic approach in combination with classical methods of historical research, as well as techniques of contextual analysis and text interpretation. Family travel is presented as a stable phenomenon that appeared in Russia back in the 19th century. As an example reflecting the connection with historical tradition, the article considers the large-scale modern project Imperial Route, uniting places of memory associated with the history of the Romanov family. The systemic nature of family tourism, which became widespread during the Soviet period and became one of the foundations for strengthening traditional values in modern Russia, is emphasized. Particular attention is paid to the pedagogical potential of family tourism as one of the means of educating children, adolescents and young people in general. It is noted that parents’ positive attitudes towards school trips help to increase children’s interest in the chosen activity, increasing their personal discipline and responsibility. Examples of family travel of Russian citizens along foreign tourist routes - to individual countries and around the world – are analyzed. The initiative informational and educational activities of Russian social network users related to the popularization of family tourism are considered. Consistent measures to support family tourism taken by the state and reflected in the decrees of the President of Russia and the Government of the Russian Federation are studied. The authors conclude that the factors for the development of family tourism in Russia are (1) the introduction into force of federal-level strategic documents that determine the development of tourism and serve to strengthen traditional Russian spiritual and moral values, and (2) the activities of public organizations and authorities to develop new social projects related to family tourism. The authors proposed to create a scientifically based strategic document that sets the organizational conditions for the implementation of this form of tourism activity.

Rise against rumors: Leveraging online social movements for hoax prevention by netizens

Background: Misinformation and harmful content spread on social media have sparked the anti-hoax movement. This research examines the motivations and participation of network users in combating hoaxes on digital platforms. Further investigation is required to examine the impact of framing, collective identity, and action factors on the propensity of netizens to actively engage in combating online hoaxes. Purpose: This study focused on framing, collective identity, and action components to explore the motivations behind netizens’ involvement in the anti-hoax movement on social media. Methods: In this study, web scraping, surveys, and netnographic techniques were employed to examine the motivations and trends of participation in the anti-hoax campaign. Data were collected from active members of MAFINDO on Facebook to facilitate this investigation. Results: Social media platforms, like those that MAFINDO uses, offer significant spaces for empowering and mobilizing communities to counteract false information and harmful content. The intentional construction of the anti-hoax movement, the establishment of a collective identity, and the alignment with the values of internet users were crucial elements in driving active engagement. The community employed efficacious tactics to counteract misinformation, such as verifying facts and presenting opposing viewpoints. These findings demonstrate the efficacy of social media platforms in resolving online problems. Conclusion: The effectiveness of the anti-hoax campaign hinges on factors like framing, collective identity, and agency that inspire internet users to engage and tackle the challenges of misinformation on social media. Implications: This study emphasizes how social media plays a key role in mobilizing internet users to fight hoaxes through effective framing, shared identity, and customized action factors.