Influence Of Social Networks Research Articles

Social Networks as a Factor of the Formation of Cultural Values and Norms

The purpose of the article is to reveal the essence of the mutual influence of social and cultural values and norms. The research methodology is based on the application of general scientific methods of system analysis, as well as the theory of social networks; to clarify the essence of the mutual influence of social and cultural values and norms, the method of logical reconstruction was used. The scientific novelty of the results obtained consists in a comprehensive analysis of the specifics of the manifestation of the mutual influence of social and cultural values and norms. Conclusions. The entire modern global socio-cultural space is built on the network principle, and society is dominated by various network structures, the spread of which is due to the development of digital technologies, the emergence of which, in turn, is due to the needs of society and people to overcome spaces and various restrictions in communication and obtaining information. At the same time, each network structure has its own cultural dimension. Social networks are characterised by accessibility, globality, the presence of feedback, which indicates their constructive potential in the modern socio-cultural space. It is emphasised that the influence of social networks on culture is obvious – social networks have changed not only how people interact with each other, build relationships, consume information and make decisions, but also determined the mutual influence of social networks and culture. It has been concluded that in modern society social networks are a mechanism for preserving and simultaneously transmitting cultural values and norms, as well as for consolidating, self-organising and cultural identification of social groups. Social networks are changing cultural values and norms, manifested in intercultural and international communication, the way people interact with each other; perceptions of oneself and one's relationships with others. At the same time, cultural values influence social networks, dictating to them the need to comply with certain social norms.
 Keywords: social networks, network structures, digital technologies, cultural values, cultural norms.

What health risk factors are brought by the most popular Lithuanian influencers in social networks?

Abstract Background Considering that content created by influencers in social networks might act as risk factor to health, we aimed to assess the prevalence of lifestyle-related risk factors in posts published by Lithuanian influencers on Facebook and Instagram. Material and methods All publicly available posts created by 12 most popular Lithuanian influencers on Facebook or Instagram between 1 Jan and 31 Dec of 2022 were included. The content analysis of the posts was performed in the structured manner. Information about foods, smoking, alcohol, physical activity, body type and mental health factors was registered and compared between the networks. Results A total number of 4075 posts were analysed. 30% of the posts presented foods. Among these posts, fast food was presented in 8.9%, sweets - in 45%, fried food - in 60%, vegetables - in 67%, fruits and berries - in 45%, cereals - in 44%, milk and dairy products - in 10%, eggs - 3%, meat - in 28%, seafood - in 14% and food supplements - in 1%. Sweets more often were presented on Facebook (15% vs 12%), fast food - on Instagram (4% vs 2%). Alcoholic beverages were presented in 3% of posts, more frequently - on Instagram (7% vs 1%). Smoking was presented in 0.4% of the posts, more frequently - on Instagram (0.8% vs 0.2%). Physical activity was presented in 10% of the posts. Slim body was presented in 2% of the posts, overweight body - in 16%, obese - in 2%. Barely covered body was presented in 10% of posts, more frequently - on Instagram (15% vs 6%). Aesthetic procedures were presented in 31% of posts, more frequently - on Instagram (46% vs 20%). Luxury was presented in 10% of posts, more frequently - on Instagram (17% vs 6%). Bullying was observed in 4% of posts, more frequently - on Facebook (5% vs 3%). Conclusions Presentation of fast food, smoking, alcohol, slim body, aesthetic procedures and luxury was more frequent on Instagram, sweets, overweight body, bullying and physical activity - on Facebook. Key messages • Both healthy and unhealthy foods are presented with similar frequency on social networks – this might lead to the overconsumption of unhealthy foods. • Although the prevalence of risk factors was observed on both social networks, some of them were more often in Facebook, some – on Instagram. This should be taken into account during the interventions.

"Like a broom tied together": A qualitative exploration of social cohesion and its role in community capacity strengthening to support integrated health in Nigeria.

Social cohesion, broadly understood as the degree of connectedness, solidarity, and trust across various community groups and between individuals, is critical for community capacity. This paper examines social cohesion and its role in community capacity strengthening for sustaining integrated health gains in Nigeria. This study took place in the context of a mid-course qualitative evaluation of a Community Capacity Strengthening approach that focuses on engaging Ward Development Committees (WDC) to increase community agency, coordinate and support the ward-level health ecosystem and ensure sustained community-level activities supporting behaviour change for improved health outcomes. This qualitative study was conducted in four selected wards per state in Bauchi and Sokoto states, targeting WDC members, Village Development Committee members, Community Volunteers, local government officials, traditional leaders, and Community Capacity Strengthening project staff. Thematic content analysis findings show that recognition and legitimacy were operationalized through the election of members into committees which in turn gave them a sense of identity and credibility. At the community level, WDCs leveraged the influence of social networks in the community to achieve their goal. Trust was also identified as a prerequisite to the acceptance and accomplishment of social and behaviour change programming. At the institutional level, our findings revealed strong conflict management skills and high collective efficacy of committee members for programme implementation. This study found high cohesion among committee members, promoting a sense of belonging and agency, and facilitating social and behavior change activities for improved health outcomes. However, we found clear limits to the extent to which high social cohesion can contribute to community capacity to sustain health implementation and improvements. While cohesive community organizations present a good opportunity for health programmes, there is a need for more investment of resources to address funding, logistics, and service delivery limitations.

Research on the effect of animation IP dissemination based on social network analysis

Abstract This paper constructs a GCN-based animation IP propagation algorithm based on social network analysis. Through the analysis of social network influence, a topology-based social network influence model is constructed. Combined with the ranking algorithm, the influence size of animation IP nodes is judged. The LDA model was used to construct a huge document set with the character IPs in the animation as documents. The clustering algorithm is used to classify the propagation effect of animation IP nodes, and the interval of animation IP propagation maximization is found by combining the submodular function maximization. The feature extraction of animation IP propagation effect maximization is performed by graph convolutional neural network. Evaluation indexes are constructed to assess the spreading ability of animation IP under social networks. The results show that the spreading power of animation IP with negative celebrity endorsement is −0.1, and the spreading effect of animation IP with positive communication content is 0.6.

Analyzing patterns of political news evaluation among university students in Northeast Thailand

Through social media and digital platforms, fake news and both professional as well as non-professional news sources are increasingly circulated, thus having a greater impact on people's lives and society. As a result, evaluating news has emerged as a crucial skill. However, it is yet unclear what variables contribute to this increase. To offer more insights, this study attempts to investigate through political news accessibility the factors influencing political news assessment of university students in Northeast Thailand. This study was a quantitative research, and the theory underlying it was news literacy. 1200 samples from undergraduate students from state, private, and autonomous universities were obtained through a multi-stage sampling. 400 questionnaires, utilized as a research tool, were distributed to each type of university for data collection. In order to examine the reliability of the research instrument, Cronbach's alpha was also used in a pre-test stage along with a content validity analysis of the questionnaire. For all elements, the alpha coefficient was 0.93. The findings demonstrated that political news assessment was most influenced by political news accessibility, which is the intervening variable (Beta = 0.265); followed by political news exposure from social media (Beta = 0.217); inner drives for the follow-up of political news (Beta = 0.190); influence of groups and social networks (Beta = 0.170); specific characteristics of the Internet (Beta = 0.151); importance of political news (Beta = 0.147); political news exposure from websites (Beta = 0.099); benefits of political news (Beta = 0.075); and political news exposure from print media (Beta = 0.042). The student characteristic factor, motivation for political news exposure factor, and political news exposure factor accounted for 67.45 percent of the variance in explaining political news evaluation among Thai students, through political news accessibility (R2 = 0.6745). Consequently, improving these elements will lead to better political news evaluation.

Research on the influence of social network on young people’s capacity of innovation and entrepreneurship based on stochastic forest model

Abstract In this paper, firstly, the social network theory and features are studied in detail, and the key to improving the model prediction performance using the Bagging algorithm is to use the CART regression tree algorithm to make the variance as small as possible while ensuring that the average performance of the model does not drop significantly. Next, the random forest model was improved by using the feature importance measure algorithm and the F-measure weighting algorithm, which improved the overall performance of the random forest model. Then the elements of innovation and entrepreneurship ability of college students were identified, and the basic characteristics of the research subjects were obtained using the scale, and the influence of social networks on innovation and entrepreneurship ability based on the random forest model was studied empirically. The results show that the coefficients of the two dimensions of association strength and heterogeneity in the dimensions of social networks of college students are larger, 0.251 and 0.222, respectively, indicating that it is the network association strength and heterogeneity that have a greater impact on the improvement of innovative thinking ability. This study promotes innovation and entrepreneurship education in colleges and universities, which is important for the improvement of students’ innovation and entrepreneurship ability.

Social networks and brand positioning of the I.E.P. José María Arguedas de Independencia, 2021

The work entitled "Social networks and the brand positioning of the I.E.P. José María Arguedas, 2021", has the general objective of determining the influence of social networks on the brand positioning of the institution. For this purpose, the perception of the content published and the level of interaction of its platforms were analyzed. The methodology applied is of a basic type, with a quantitative approach and a non-experimental - transversal design, which is why the survey technique was implemented. The sample on which the research was based is 308, made up of parents and students of the school. The results show that there is a favorable influence of social networks on brand positioning. It is concluded that the implementation and proper use of digital strategies allow companies to improve their position in the market.

Open Access Original Research Social Sciences (miscellaneous) Social Media Usage Affects Family Communication Among Chinese Adolescence

Purpose: The purpose of this study was to see how social media usage affected family communication among Chinese adolescents. The study's overarching goal was to determine the influence of social networks on family communication among Chinese adolescents. The study aimed to determine how frequently Chinese adolescents used social media and how this might affect their family interactions. Design / Methodology / Approach: The data were obtained from seven Chinese respondents who comprised the sample. In-depth interviews were used as a data collection tool. The data collected were thematically analysed. Main Findings: The findings reveal that Chinese adolescents spend more time interacting with friends and social networks online than speaking with their families. They frequently seek mentoring, advice, and emotional and social support from online friends. According to the study findings, adolescents' personalities significantly impede effective family interaction and communication. Research limitations/implications: The findings show that social media significantly impacts family communication. Future research could also look at the attitudes and behaviours of parents and adult children on social media. Originality/value: This research is unique in that it looks at the Chinese community's family communication patterns on social media. The findings of this study will benefit Chinese society because family communication serves as a crucible for society.

Information Needs of Korean Immigrants in the United States

This mixed-method study aimed to explore the information needs of Korean immigrants on social media and their selection and use of social media platforms for information seeking in the United States. The research encompassed six research questions and employed questionnaires, diaries, and interviews to collect data. 111 Korean immigrant participants completed the questionnaires, and 16 individuals were selected for diaries and interviews. The quantitative and qualitative analysis incorporated descriptive analysis, Chi-Square test, and open coding. The study revealed that education is the top information need on social media. Social Network Services were the most frequently used platforms, with YouTube being popular for specific information needs. The relationship between social media types, demographic factors, information communication technology experience, cultural factors, and information needs was examined using the Chi-Square test, uncovering significant associations. Through open coding, various factors influencing social media selection were identified, such as social network influence, cultural preference, information needs, quantity, and format. Keyword searches and subscriptions were the primary methods for information gathering. Algorithms, features, result relevance, and information delivery speed were key factors in using social media. The study uncovered information needs among Korean immigrants and shed light on their predominant needs on social media. Moreover, the study presented a theoretical model for Korean immigrants' selection and use of social media platforms. It offered practical recommendations to cater to the information needs of Korean immigrants, such as algorithm optimization, improved search functionality, and language support. The study's limitations were acknowledged, and recommendations for future research were provided.

Generalized fuzzy hypergraph for link prediction and identification of influencers in dynamic social media networks

Despite the importance of link prediction and identification of influencers in dynamic social media systems, the existing methodical theories are not capable of analyzing complex multilayer relations in social media networks which contain uncertainty. In fact, there is no theoretical exploration concurrently focused on multidimensional and interrelated entities in a fuzzy-based social media environment. To cover this gap, a neoteric generalized fuzzy hypergraph (GFH) methodology is designed using developed n-ary fuzzy relation technique that is the extension of convolutional binary fuzzy relation. Characterizing reflexive, symmetric, transitive, composition, t-cut and support techniques is carried out for multidimensional uncertain-based space. Also, a graphical approach is created in the generalized fuzzy hypergraph to assist the derivation of foundational implications and concepts. The GFH framework can be applied for the intelligent management of complex systems for sole or mass users of local and global social media platforms by adopting specific membership degree for each individual. To predict the linkages between elements, a fuzzy-based indicator FLP (fuzzy link prediction) is promoted, along with the indicator of SIR (score of interaction rate) to identify the influencers (strongest communicators) in an uncertain space. Through the FLP evaluation, the extracted data are analyzed as per the highest value of 1 for single, 3 for binary, 3.8 for triplet, and 0.9 for quaternary spaces for their probable links. Through the analysis of SIR data on the individuals’ membership degrees for the usage of social media platforms, the highest interaction value of 0.99 is correlated to a single member, while 5.42 magnitude addresses an influential person. The performance results show that the presented theoretical and structural approach, that is superior to the classical graph theories, is promising to configure intelligent expert systems, predict the likelihood of connections, detect communities, and specify the influencers in real social media platforms that contain uncertainty.

How Social Networks Influence Human Behavior: An Integrated Latent Space Approach for Differential Social Influence.

How social networks influence human behavior has been an interesting topic in applied research. Existing methods often utilized scale-level behavioral data (e.g., total number of positive responses) to estimate the influence of a social network on human behavior. This study proposes a novel approach to studying social influence that utilizes item-level behavioral measures. Under the latent space modeling framework, we integrate the two latent spaces for respondents' social network data and item-level behavior measures into a single space we call 'interaction map'. The interaction map visualizes the association between the latent homophily among respondents and their item-level behaviors, revealing differential social influence effects across item-level behaviors. We also measure overall social influence by assessing the impact of the interaction map. We evaluate the properties of the proposed approach via extensive simulation studies and demonstrate the proposed approach with a real data in the context of studying how students' friendship network influences their participation in school activities.

Exploiting community and structural hole spanner for influence maximization in social networks

AbstractViral marketing is a frequently used social marketing strategy which aims to promote products on various social media. In order to devise an efficient viral marketing strategy, influence maximization problem is widely studied in social networks. Influence maximization problem tries to find a set of influential users who could influence social users maximally. However, existed influence maximization algorithms could not satisfy the needs of social marketers well. In social networks, community structure is an important feature where social users are closely connected together in groups, and structural hole spanners are those users who bridge different communities. In order to balance the effectiveness and efficiency of viral marketing in social networks, in this paper, we present to exploit the community structure and structural hole spanners in social networks for solving the influence maximization problem. Different to traditional algorithms, we devise a strategy to approximate social influences of social users to find seeds efficiently. In particular, for an internal user inside a community in social networks, we utilize his social influence to members inside this community to approximate his social influence in the whole social network. For a structural hole spanner who bridges multiple communities, we utilize his social influence to members in these communities to approximate his social influence in the whole network. Based on the approximate social influence, information diffusion model and greedy framework, we propose a Community and Structural Hole Spanner based Greedy (CSHS‐G) algorithm which devises several influence lists to store social influences of users and fast computation scheme to find seeds. Besides, to further improve the efficiency, we propose a Community and Structural Hole Spanner based Heuristic (CSHS‐H) algorithm which approximates social influences of structural hole spanners by utilizing their 2‐hops influences. We conduct a comprehensive performance evaluation on the crawled real‐world data set. Experimental results show that, compared to all of the baseline algorithms, our proposed algorithms not only have high efficiency, but also could guarantee larger influence spread.

Effects of Online Friendships on Safer Sex Communication and Behavior among Black Sexual Minority Men: A Study of Network Exposure

ABSTRACT This study draws on social normative and social learning theories to examine the masspersonal safer sex communication (i.e., Facebook posts about safer sex) and safer sex behavior (i.e., condom use) in a cohort of Black sexual minority men (BSMM) (N = 340), with an eye toward understanding their relationship with the safer sex communication and behaviors of their BSMM Facebook friends. Using linear network autocorrelation regression models, results showed that BSMM’s safer sex communication and condom use behavior were each associated with the communication and behavior of their online peers. Specifically, BSMM’s condom use was positively associated with their friends’ condom use and friends’ safer sex communication, and BSMMs’ safer sex communication was positively associated with friends’ safer sex communication. Moreover, contrary to prior research, BSSM’s safer sex communication and condom use were not related to one another, suggesting that talking about safer sex on social media should not be interpreted to be an indication of engageDment in safer sex behavior. These findings underscore an opportunity to leverage peer influence in social media networks, particularly in the form of masspersonal communication, to encourage cascades of safer sex messaging among peers and adoption of safer sex behavior.

The influence of social network on innovation and entrepreneurship of economic and management college students based on adaptive particle swarm algorithm

Abstract Exploring the influence of social networks on innovation and entrepreneurship of economics and management college students to help them better enhance their innovation consciousness to face the future social workplace. In this paper, the particle swarm algorithm is optimized according to the strategy and parameter adaptive mechanism, and the SPS-PSO algorithm is used to initialize and update the population. The social network and innovation and entrepreneurship ability of university students in economics and management are introduced, and feature selection based on strategy and parameter adaptive particle swarm algorithm is utilized. The index mining of social network and innovation and entrepreneurship ability of college students is conducted, and the data analysis of innovation and entrepreneurship ability of college students in economics and management is carried out with the example of the University of S. From the social network, the percentages of those who agree with the validity of social network centrality, heterogeneity, dynamics and linkage strength are 71.56, 71.69%, 72.55% and 71.16%, respectively. From the perspective of innovation and entrepreneurship, the overall percentage of college students in economics and management who agreed was 69.27%. This indicates that the higher the integrity of the social network structure of economics and management college students, the more it can enhance innovation and entrepreneurship abilities and promote the cultivation of observation and judgment ability and divergent thinking abilities of economics and management college students.

Socio-cultural and Economic Determinants of Delayed Reporting of Breast Cancer Among Ghanaian Women: A Qualitative Study

Delayed reporting of breast cancer continues to increase in African countries, including Ghana, which is attributable to socio-cultural and economic factors. However, there is a paucity of data on socio-cultural and economic determinants of delayed reporting of breast cancer in Ghana. This study aimed to explore the socio‐cultural and economic determinants of delayed reporting of breast cancer among Ghanaian women. The study adopted an exploratory descriptive qualitative design with purposive sampling to recruit 17 women with breast cancer from the Tamale Teaching Hospital, Ghana. Data were collected through in-depth interviews. Analysis: Data analysis was done using the thematic analysis approach. Delayed reporting was due to inaccurate information, the influence of social networks, cultural misconceptions, belief in alternative treatment, high cost of treatment, and extreme poverty. A combination of socio‐cultural and economic factors influences the delay in reporting breast cancer in Ghana. Culturally appropriate and adequate health information and education, integration of alternative treatment into the formal healthcare system in Ghana, and financial support from the government are needed to promote early reporting for treatment.

Normative Influence of Social Media on Adolescents' Actions, Attitudes, and Perceptions Toward Non-Normative Behavior in South Korea

This study examines the formation of adolescents' norms toward non-normative behaviors using a two-wave survey of middle school students in South Korea over a one-year period. The study focuses on four modes of non-normative behavior, namely, verbal aggression, Internet slang, digital piracy, and self-exposure, and investigates the impact of exposure to descriptive and injunctive norms on social media on adolescents' actions, attitudes, and perceptions of non-normative behavior. The results reveal that exposure to injunctive norms on social media is positively associated with adolescents' engagement in deterring non-normative behavior. This suggests that when adolescents witness others taking action against non-normative behavior on social media, they are more likely to engage in similar actions to prevent such behavior. However, the effect of exposure to descriptive norms on actions against non-normative behavior is not supported in this study. The study provides insights into the influence of personal relationships and social networks on young people's perceptions of social media use in South Korea, with important implications for developing interventions to promote responsible and respectful digital behavior among young people.

Sociopolitical Diagnostic Tools to Understand National and Local Response Capabilities and Vulnerabilities to Epidemics and Guide Research into How to Improve the Global Response to Pathogens.

The AIDS and COVID-19 pandemics demonstrated that nations at similar economic development levels varied widely in their capacity to protect the health of their residents. For AIDS, Britain and Australia brought gay representatives into official counsels and adopted harm reduction far more rapidly than the United States or Spain, and East African countries responded more effectively than South Africa or the Democratic Republic of the Congo. National responses to COVID-19 varied widely, with New Zealand, China, and Vietnam more effective than Italy, Brazil, or the United States. Further, as phylogenetic research has demonstrated, these pandemics spread from one country to another, with those that responded poorly acting as sources for mutations and potentially sources of transmission to countries with more effective responses. Many observers expressed surprise at the poor responses of the United States to COVID-19, but in retrospect the cutbacks in public health funding at state and national levels made it clear that this was a predictable weakness even in addition to the political vacillations that crippled the US and Brazilian responses. In a time of global sociopolitical and climate instability, it is important to measure and conduct research into spatial and time variations in 1. public health and medical funding, 2. social influence networks, social cohesion and trust, and stigmatization, 3. income inequality, 4. social conflict, and 5. other factors that affect responsiveness to pandemics.

Effects of Social Networks on Job Performance of Individuals among the Hypertension Management Teams in Rural China.

Limited studies have explored the relationship among cross-organizational and multidisciplinary medical staff. The present study conducted an in-depth examination and validation of the influence of complex cross-organization and multidisciplinary social networks on the job performance of team members. Multi-level hierarchical regression analysis was used to assess the impact of the centrality and the characteristics of structural holes in social networks (i.e., advice network, information network, friendship network, and trust network) on job performance. The in-closeness centrality of the advice network (β = 0.176, p < 0.05) and the betweenness centrality of the trust network (β = 0.126, p < 0.05) had positive effects on task performance. The in-closeness centrality of the advice network (β = 0.226, p < 0.05; β = 0.213, p < 0.05) and the CI (1 - constraint index) of the friendship network (β = 0.130, p < 0.05; β = 0.132, p < 0.05) had positive effects on contextual performance and overall job performance. Meanwhile, the out-closeness centrality of the information network (β = -0.368, p < 0.01; β = -0.334, p < 0.05) had a negative effect on contextual performance and overall job performance. This study investigates the relationship between healthcare professionals' job performance and their social networks, taking into account the perspectives of cross-organizational and multidisciplinary teams. The study contributes to the effort of breaking down barriers between different disciplines and organizations, and ultimately, improving the quality of healthcare delivery.

Digital influencers and the spread of irrational drug use

The figure of the digital influencer has become fundamental within social networks in reaching the consumer public market since it determines the direction of its thousands and even millions of followers. As a consequence of this whole range of influence, companies, brands, and industries from the most diverse branches began to establish partnerships for advertising and publicizing their products in the field of beauty, food, fashion, and, mainly, health, for example, corroborating with self-medication. Digital Influencer refers to an individual who is a reference and who has the power to influence his followers, managing to increase sales of the product he promotes. Because of the above, the methodology adopted was descriptive, exploratory, and observational, with a cross-sectional design, through the application of a semi-structured questionnaire. This study aims to evaluate digital influencers and their strategies that increase the risk of irrational drug use by students of undergraduate courses in the health area. As for the results obtained from the collected data, it was found that most of the respondents were female; the age of participants in the samples ranged from 17 to 48 years. Regarding the irrational use of medication, the majority, 90.8% (n = 128), claimed to know the subject, and 75.7% (n = 109) stated that influencers generally suggest some medication with the purpose of self-medication. About using medication due to digital influencers, 73.2% (n = 115) claimed not to use medication recommended by “influencers.” Finally, it can be seen that the present research that the analyzed theme demonstrated the complexity and the need to have a follow-up of the supervisory bodies about what is produced by influencers in social networks, above all, in the field of self-medication, since it became Of course, the use of drugs without proper authorization from the professional is dangerous and may cause irreversible damage.

Empirical Analysis of the Impact of Top Management Team Social Networks on the Homophily Effect of ESG Disclosure in Companies

This study investigates the homophily effect in corporate information disclosure, specifically focusing on executive social networks. We analyze data from 385 privately listed companies in China’s Growth Enterprise Market between 2018 and 2021. An OLS regression model is employed to examine the presence of a homophily effect in ESG information disclosure by private enterprises, along with regional and industry variations. Additionally, we utilize a moderation effect model to assess the influence of executive social networks on the homophily effect of ESG information disclosure. We conduct robustness tests based on our findings. The results indicate a significant homophily effect in ESG information disclosure by private enterprises, with varying magnitudes across regions and industries. Furthermore, executive social networks positively moderate the homophily effect, suggesting that a more diverse social network among the executive team enhances the homophily effect of ESG information disclosure for private enterprises. These findings offer valuable insights for corporate low-carbon sustainable development.