Influence Of Social Networks Research Articles

The power of social networks and social media’s filter bubble in shaping polarisation: an agent-based model

The role social media platforms play on the emergence of polarisation is an ongoing debate in the political communication literature. Social media’s filter bubbles and online echo chambers shape people’s opinions by curating the information they have available. However, the extent to which this is the case remains unclear. Social simulation scholars have provided valuable insights into the subject through opinion dynamics models and agent-based modelling approaches. This article proposes a social simulation approach to the topic of opinion dynamics from a political communication perspective to understand how social network configurations and the media environment contribute to the emergence of national identity polarisation. We built an agent-based simulation model of national identity dynamics with a multilayer multiplex network of interacting agents in a hybrid media environment of both, traditional media and social media platforms. We use the Catalan secessionist movement to ground, contextualise and empirically inform parts of our model. We found that the initial social network setup conditions had a large impact on the emergence of polarisation amongst agents. In particular, homophily-based social networks composed of a majority of like-minded individuals produced greater polarisation compared to random networks. This was aggravated in the presence of social media filtering algorithms, selectively exposing agents to supportive information. These results emphasise the importance of both the selective exposure by social media filtering algorithms and one’s social networks (echo chambers) for polarisation to emerge. This interaction reinforces the influence of social media platforms and social networks have on the emergence of polarisation.

Influence of Social Networks on the Choice of Cultural Tourism Destination. Case study of Novi Sad and Rijeka as European Capitals of Culture

Influence of Social Networks on the Choice of Cultural Tourism Destination. Case study of Novi Sad and Rijeka as European Capitals of Culture

The impact of multiplex relationships on households’ informal farmland transfer in rural China: A network perspective

Over the last three decades, farmland transfers in rural China have significantly increased. Despite this rise, informal farmland transfers within social networks continue to be common in many villages, underscoring the need for a more nuanced understanding of their determinants. Existing literature extensively explores the influence of social networks on farmland transfers, it often overlooks the distinction between formal and informal transactions and primarily focuses on binary relationships. Limited data availability and constraints in econometric methodology have impeded quantitative estimation of the impact of farmers’ interactions on informal farmland transfers at the local levels. To address this issue, we developed a framework that integrates embeddedness theory and social interaction theory to uncover the mechanism between multiplex relationship and informal farmland transfers from a network perspective. Using survey data collected from all 341 households in a village in central China, we constructed both relationship networks and informal farmland transfer network among peasant households. We then employed the logistic regression quadratic assignment procedure (LRQAP) to quantify the impact of multiplex relationships and network structures on informal farmland transfers. The results reveal a significant positive correlation between multiplex relationships and informal farmland transfer behaviors among peasant households. Specifically, households are more likely to engage in informal farmland transfer through relationships characterized by emotional connections and reciprocal exchanges, rather than through relationships based on cooperative support. Furthermore, our findings indicate that multiplex relationships influence informal farmland transfer behaviors through network structure effects, such as reciprocity and preferential attachment, rather than through transitivity. These results highlight the importance of leveraging multiplex relationships to facilitate and regulate informal farmland transfers amid rural decline and land use change.

Effectiveness of Peer-Led Education in Reducing HIV Transmission among Youths in Urban Areas: A Comprehensive Review

HIV transmission among urban youths remains a significant public health concern, driven by factors such as risky sexual behaviors, limited access to healthcare, and high social connectivity. Peer-led education has emerged as a promising intervention to reduce HIV transmission by utilizing the influence of social networks and delivering relatable, accessible information on HIV prevention. This review assessed the effectiveness of peer-led education programs in urban areas by examining their impact on HIV-related knowledge, behavior change, and HIV testing rates. Studies revealed that peer-led education significantly improves HIV knowledge, promotes condom use, and encourages HIV testing among urban youths, contributing to a reduction in high-risk behaviors. Additionally, the social and emotional benefits of peer-led education create supportive environments for discussing sexual health, reducing stigma, and fostering empowerment among participants. However, challenges such as variability in program quality, sociocultural barriers, and sustainability issues limit the long-term success of these interventions. To address these challenges, future strategies should focus on integrating digital health platforms, personalizing peer education, and employing rigorous program evaluation methods. The methodology for this review included a comprehensive analysis of existing literature, including randomized controlled trials, systematic reviews, and observational studies, to provide a holistic understanding of peer-led education’s effectiveness in reducing HIV transmission among urban youths. Keywords: Peer-led education, HIV prevention, Urban youths, Behavioral change, HIV transmission.

Luxury depiction in posts of the most popular Lithuanian influencers on Instagram and Facebook

Abstract Background Studies show that depiction of high living standards in social media is related to mental health problems. Influencers in social networks are those who might publish such content and reach high numbers of people. We aimed to assess the prevalence of luxury depiction in posts published by Lithuanian influencers on Facebook and Instagram. Materials and methods All publicly available posts created by 21 most popular Lithuanian influencers on Facebook and Instagram in 2022 were included. The content analysis of the posts was performed and information about luxury and other lifestyle factors was registered. Distribution of the posts depicting luxury was compared according to social networks where they were published and characteristics of the influencers: gender, age, number of followers, and the target audience. Results A total number of 6425 posts were analysed. Every fifth (18.2%) post depicted luxury. Posts depicting luxury were published on Facebook and Instagram with a similar frequency (p = 0.066). Among these posts, luxury brands were presented in 7.5%, luxury hotels and restaurants - in 7.1%, luxurious trips - in 63.0%, luxurious cars - in 27.6%, luxurious activities - in 0.8%, and jewellery - in 0.5%. Overall, men, older influencers, influencers with higher number of followers more frequently posted content depicting luxury (respectively, 29.0% vs. 10.6%, 20.2% vs. 14.5%, 20.3% vs. 15.4%, p-value less than 0.001). Luxury was more frequently depicted in posts targeted to male audience than targeted to female or unisex audiences (respectively, 46.6% vs. 10.5% vs. 20.7%, p-value less than 0.001). Conclusions Every fifth post of Lithuanian influencers depicts luxury. Luxurious trips are depicted most frequently. Male and older influencers, and those with more followers more frequently depict luxury-related content. Luxury is most frequently depicted in posts targeted to male audience. Key messages • Every fifth post of Lithuanian influencers depicts luxury – this might be considered as an important risk factor for public mental health. • Higher prevalence of luxury depiction targeted to male audience should be taken into account when implementing public health interventions.

Maximizing Influence in Social Networks Using Combined Local Features and Deep Learning-Based Node Embedding.

The influence maximization problem has several issues, including low infection rates and high time complexity. Many proposed methods are not suitable for large-scale networks due to their time complexity or free parameter usage. To address these challenges, this article proposes a local heuristic called Embedding Technique for Influence Maximization (ETIM) that uses shell decomposition, graph embedding, and reduction, as well as combined local structural features. The algorithm selects candidate nodes based on their connections among network shells and topological features, reducing the search space and computational overhead. It uses a deep learning-based node embedding technique to create a multidimensional vector of candidate nodes and calculates the dependency on spreading for each node based on local topological features. Finally, influential nodes are identified using the results of the previous phases and newly defined local features. The proposed algorithm is evaluated using the independent cascade model, showing its competitiveness and ability to achieve the best performance in terms of solution quality. Compared with the collective influence global algorithm, ETIM is significantly faster and improves the infection rate by an average of 12%.

Examining the Influence of Online Social Networks and MOOCs on Collaborative Practices among TVET Teachers: The Mediating Role of Interpersonal Trust

This study examines the impact of online social networks (OSN) and Massive Open Online Courses (MOOCs) on collaborative practices among vocational training educators, focusing on the mediating role of interpersonal trust. Using a quantitative research design, Structural Equation Modeling (SEM) analyzed data from 343 Technical and Vocational Education and Training (TVET) teachers via a survey assessing MOOC usage, OSN, teacher collaboration, and interpersonal trust. Findings indicate a significant positive relationship between OSN and MOOCs, suggesting their potential to enhance collaborative learning environments. However, a negative direct effect of OSN on teacher collaboration reveals challenges that hinder effective engagement. Importantly, interpersonal trust is identified as a crucial mediator, highlighting the necessity of fostering trust among educators to improve collaboration and knowledge sharing. The research addresses a gap in understanding how MOOCs can enhance collaboration among TVET teachers and improve student outcomes, emphasizing the importance of integrating OSNs and MOOCs into vocational training frameworks while cultivating a culture of trust. Ultimately, the study suggests that leveraging OSNs and MOOCs, alongside interpersonal trust, can transform collaborative practices, benefiting both educators and students. Future research should explore the complexities of these relationships, especially barriers to collaboration and effective strategies for utilizing online networks in vocational training.

Influence of Entrepreneur Social Network on New Product Development Performance of Enterprises Under Intelligent Big Data

In the complex market environment, it is difficult for enterprises to innovate only by their own internal product resources. In order to improve the performance level of new product development, this paper puts forward the influence of entrepreneur social network on the performance of new product development under smart big data. The process of new product development is modeled, and the influence of entrepreneur social network on enterprise new product development performance is analyzed from two aspects: vertical network quality and horizontal network quality. According to the analysis results, build an intelligent big data platform, and use this platform to realize the mining and analysis of enterprise-related data; On this basis, EM algorithm is used to mine the performance data of enterprise new product development, DEA/AHP model is used to evaluate the performance level of enterprise new product development, and the evaluation results are combined with the influence model of entrepreneur social network on enterprise new product development performance to realize the influence analysis of entrepreneur social network on enterprise new product development performance. The experimental results show that the method is highly recognized by experts, which shows that the analysis results are reliable, and the correlation between entrepreneur social network and enterprise new product development performance can be obtained, which provides reference for enterprise new product development.

Pengaruh Quality Product, Social Network, dan Celebrity Endorsement terhadap Purchase Intention terhadap Kopi Kenangan Megamall Batam

Increasingly tight business competition requires companies to continue to innovate in their marketing strategies. Kopi Kenangan is one of the many coffee shops that are easy to find, especially in big cities. Therefore, Kopi Kenangan needs to understand the factors that influence purchase intention in order to maintain and increase their market share. This study aims to analyze the influence of social networks, product quality, and celebrity endorsements on purchase intention at Kopi Kenangan Megamall Batam. This study uses a quantitative approach with a survey method. Sampling was carried out using the Slovin formula, resulting in 100 respondents as research samples. The data collection instrument was a questionnaire with a Likert scale designed to measure the variables of social networks, product quality, celebrity endorsements, and purchase intention. The results of this study indicate that social networks do not affect purchase intention, while product quality and celebrity endorsements have a significant effect on purchase intention. Therefore, Kopi Kenangan needs to develop a promotional strategy through social networks and improve product quality to increase customer purchase intention towards Kopi Kenangan.

Choosing a promotion channel for a startup project in the modern media space

Relevance. The startup market is becoming increasingly saturated. Effective promotion channels allow you to stand out from the competition and attract the attention of the target audience. Startups often work with a limited budget. Optimizing the choice of promotion channels is critical to maximizing the return on investment. Modern media management covers many platforms (social networks, blogs, video hosting, etc.). Choosing the right channel helps to optimally use resources and ensure maximum visibility. Different channels are suitable for different target groups. An effective choice of promotion channel helps to more accurately reach the desired audience, taking into account its preferences and behavior. Consumers are increasingly paying attention to digital communication channels. Taking into account current trends and preferences allows you to improve interaction with the audience. The influence of social networks and bloggers is becoming an important mechanism for creating trust among consumers. This can significantly increase the recognition of a startup. All this emphasizes the importance of a strategic approach to choosing promotion channels for a successful launch and sustainable growth of a startup project in the modern media landscape.The purpose of the study is to choose a promotion channel for a startup project in the modern media space.Objectives: to substantiate the relevance of choosing a promotion channel for a startup in the modern media space; to study the demand and effectiveness of modern promotion channels; to use in practice the method of multicriteria selection of promotion channels for a startup project; to substantiate the results obtained.Methodology. The research methodology is based on the methods of comparison and comparison, deduction and induction, qualitative and quantitative analysis, as well as the Churchman-Ackoff multi-criteria assessment method.Results. The study substantiates the relevance of choosing a promotion channel for a startup in the modern media space; the demand and effectiveness of modern promotion channels are studied; the method of multi-criteria selection of channels for promoting a startup project was used in practice; the obtained results were substantiated.Conclusions. The effectiveness of the selected channels for promoting a startup project in the modern media space was proven as conclusions.

The influence maximization algorithm for integrating attribute graph clustering and heterogeneous graph transformer

In social networks, maximizing influence is an important research direction. However, traditional influence maximization algorithms often overlook the attribute information of nodes and the heterogeneity of networks, leading to inefficiency and inaccuracy in the propagation process. To address this issue, this study first constructs a social network influence maximization propagation model, and then combines auto-encoder and graph convolutional autoencoder to extract social network user attributes. Finally, Transformer is used to learn the feature representation of social network nodes. Moreover, a heterogeneous graph neural network is introduced to combine with Transformer to further learn the feature representation of nodes, so as to design an influence maximization algorithm combining attributed graph clustering and heterogeneous graph Transformer. The results showed that the loss values of the fusion algorithm on different datasets were 0.619 and 0.17, respectively, proving its good fitting performance. The recall rate and F1 of this fusion algorithm were 92.5 % and 0.90, respectively, proving its high clustering accuracy. The influence maximization model based on fusion algorithm achieved active node coverage of 67 % and 48 % on two datasets, respectively, proving its good influence propagation effect. The above results demonstrate that the designed model can effectively spread influence. This helps to better understand and utilize the influence dissemination mechanisms in social networks, thereby promoting the development of social network research.

Facilitators, motivations, and barriers to physical activity among Chinese American women

Physical inactivity poses a significant risk to morbidity and mortality. Chinese American women, as part of the larger group of Asian American women, exhibit low adherence to recommended physical activity guidelines. To date, few physical activity interventions have been tailored to address specific sociocultural considerations in this population, and the heterogeneity among Asian Americans is often not considered. The purpose of this qualitative descriptive study was to understand facilitators, motivations, and barriers to physical activity perceived by Chinese American women to help inform tailored physical activity interventions for this population. Virtual, semi-structured individual interviews with 21 Chinese American women were completed. Data were analyzed using Clarke and Braun’s thematic analysis approach. Six main themes emerged: (1) desires to stay healthy; (2) achievement and satisfaction; (3) facilitators and motivations from social networks; (4) COVID-19 pandemic; (5) prioritizing family needs; and (6) weight status satisfaction. Participants expressed motivations rooted in their desire for improved health, personal experience of improvement and accomplishment gained from physical activity, and the influence of social networks, both online and in-person. The COVID-19 pandemic acted as both a facilitator and a barrier to physical activity. Identified barriers include prioritizing family needs over personal engagement in physical activity and lacking motivation due to perceiving a normal weight that does not necessitate participation in physical activity. The findings facilitate the development of culturally appropriate interventions to improve physical activity and enhance overall well-being in this population.

Beyond the Screen: A Comprehensive Analysis of Emotional Skills and Social Networking in French Young Adults.

(1) Background: This study investigates the influence of social networks on young adults, focusing on both positive and negative impacts. It considers problematic social networking site use (PSNSU), emotional intelligence, empathy, and the phenomenon of Fear of Missing Out (FoMO). (2) Methods: A comprehensive online survey was conducted with 442 participants aged 18 to 30 years that used various psychometric tools to assess emotional intelligence, empathy, internet and social media use, and FoMO. (3) Results: The study revealed that young adults display low competencies in emotional intelligence and empathy, with a tendency towards problematic internet and social media use. High FoMO scores were observed, correlating with negative internet use outcomes. Gender differences in these aspects were also explored. (4) Conclusions: The findings suggest a complex interaction between social network use, emotional skills, and FoMO that impacts young adults' mental health and social behaviors. This study highlights the need for a nuanced understanding of these relationships and their implications for well-being and social interaction in the digital age.

Estimating user influence in social networks under independent cascade model

The rapid increase in social applications emphasizes the importance of estimating user influence. Heuristic methods like degree and betweenness centralities usually differ from the actual propagation process and yield unsatisfactory results. Traditional methods like Monte Carlo simulation are time-consuming. We modify the duplicate forwarding model to analyze the propagation process, which is proved to be close to the independent cascade model. We calculate the influence of a given source on a target. This approach allows for relatively accurate user influence estimation. Although this method is more efficient than traditional methods, it still requires traversing all users. Therefore, we introduce a virtual user who is connected to all users. By estimating the influence of any user on the virtual user, we can approximate the user influence efficiently. Experiments on real-world networks demonstrate that our method achieves not only better accuracy in user influence ranking but also lower computational cost.

Social network influence based on SHIR and SLPR propagation models

The rapid progress of science and technology has revolutionized the dissemination of information, with the Internet playing a crucial role. While it has enhanced the ease of sharing information, it has also hastened the transmission of emotions on social media, sometimes resulting in unintended negative outcomes. This research seeks to tackle this issue by suggesting an innovative technique for analyzing social network influence using the Susceptible Hesitant Infected Removed (SHIR) and Susceptible Latent Propagative Removal (SLPR) propagation models. Through the development of an emotional communication model, we take into account the effects of news and public opinion on the rate of emotional communication among individuals. Furthermore, we investigate the impact of various network structures on user behavior. The findings from experiments demonstrate a notable relationship between changes in the density of emotion spreaders and hesitants and the influence of nodes in different network configurations. Specifically, the analysis reveals that the peaks of hesitators and disseminators were lower when the node influence was reduced. Additionally, we verified the precision and dependability of our model by examining data from the Baidu Index, a tool for big data analysis. The margin of error between the model and the actual data was minimal, underscoring the efficacy of our approach. In essence, the study highlights a direct correlation between the speed and extent of emotional propagation in social networks and the degree of nodes. The results showed that the density changes of emotion spreaders and hesitants were significantly correlated with the influence of nodes in different network settings. In the case of node influence of 0.86, the highest peaks of hesitator H and disseminator I were 0.101 and 0.109 lower than those of influence of 1.25. The data analysis of the Baidu Index showed that the maximum peak error of the model was only 0.04, which verified the accuracy and reliability of the model. This investigation carries significant implications for efficiently managing and steering the dissemination of emotions on social media, thereby promoting a healthier online environment.

The Role of Social Network Marketing on Consumer Engagement and Purchase Intention: A Review

This paper explores the influence of social network marketing on consumer engagement and purchase intentions. As a vital component of modern marketing, social network marketing leverages social media platforms to promote products and services, becoming a primary strategy for businesses to attract and interact with consumers. Through a literature review and case studies, this paper delves into the mechanisms by which social network marketing enhances consumer engagement, including the roles of social interaction, user-generated content, and social proof. Additionally, it examines how personalized marketing strategies and social recommendations within social network marketing influence consumers' purchase intentions. Finally, the paper discusses the limitations of current research and proposes future research directions to deepen the understanding of social network marketing's impact.

The Influence of Social Networks on the Social Development of Children

The development of the computer industry and the internet, social networks have experienced diverse applications. They are necessary tools for work, information and communication. However, their application and dependence increasingly includes children. Social networks such as Facebook, Twitter, Myspace, Flicker, Viber, Internet, Google, YouTube and others are the most famous and used means of communication between children. They are an intermediary between the two talking parties. They replace verbal, direct communication by sending messages, images, files as codes of indirect communication. Socialization as a process starts from the family, as the primary environment from which the basic postulates of the process are drawn, but as a secondary environment, the wider circle of family, relatives, friends, school are considered. The main goal of this paper is to point out the negative emergent forms of interpersonal communication, as a consequence of the overall rapid technical-technological development and the process of globalization, with a more detailed elaboration of the impact of social networks on the process of socialization among children. The paper will more specifically elaborate this problem through a theoretical presentation and through a specifically conducted research. The theoretical part will include the basic chapters that will contain data drawn from a wide variety of foreign and domestic literature. In my paper I will give a more detailed description of the research process that I will carry out in order to prove the validity and logical foundation of all my theses presented in this paper. It will cover the methodology of the research, the way in which the collected data will be processed, the results obtained, as well as the interpretation of the findings and the conclusions reached. For the comprehensiveness of the topic, in the paper I will try to give a consistent answer to all questions related to this problem.

Предупреждение суицидального поведения несовершеннолетних, активно использующих социальные сети

The Internet is a place where minors encounter materials of various kinds, including dangerous ones. This article considers the varieties of suicidal Internet content with which minors interact, as well as the consequences of this interaction. The problem of influence of social networks on suicidal behavior of minors in foreign countries is considered. The classification of categories of suicidal materials and their characterization is introduced.

Influence of Political Leaders in Five Countries on Climate Diplomacy via Twitter

Climate diplomacy is one of the hot topics in recent years that the world has paid extensive attention to. It goes beyond the traditional regional environmental issues; the worldwide impact of climate change makes international cooperation in this area more and more close. In order to explore the influence of political leaders on climate diplomacy and the reasons for their influence, this paper selects five countries with large differences in national conditions. And these countries will have a significant impact on international climate diplomacy in 2023. They are the United States, France, Brazil, Japan, and Senegal. This study quantitatively examines the data content analysis of climate-related tweets posted by political leaders from five countries on Twitter in 2023 and their social network influence through social network analysis and other quantitative studies to explore the influence of political leaders from five countries on international climate diplomacy. Finally, the conclusion is that the online power and influence of political leaders in each country do not exist independently but are closely linked to the real power of each country.

ALFABETIZAÇÃO MIDIÁTICA E FAKE NEWS: DESAFIOS E ESTRATÉGIAS NO ENSINO DE PORTUGUÊS PARA A FORMAÇÃO DE ALUNOS CRÍTICOS

In the current context, media literacy has emerged as an essential skill for the formation of critical and well-informed citizens. This article addresses the importance of integrating this skill into the school curriculum, especially in the teaching of Portuguese. Initially, the challenges faced by educators when dealing with the vast amount of information available and the proliferation of fake news are presented. The lack of criteria for assessing the veracity of information and the influence of social networks make students vulnerable to misinformation, highlighting the urgent need for effective media education. The article then explores various didactic strategies that can be implemented in Portuguese teaching to combat disinformation. These include developing critical thinking, analyzing information sources and encouraging the production of responsible digital content. Practical activities such as news debates, fact-checking and school media projects are suggested to engage students in an active and meaningful way. Finally, the formation of critical learners as a central objective of contemporary education is discussed. Media literacy is presented not only as a complement to traditional Portuguese teaching, but as an integral component that prepares students to face the challenges of the digital age. The article concludes that by enabling students to recognize and question false information, schools play a fundamental role in promoting a more critical and informed society.