Online Social Relationships Research Articles

Keep your friends close, and your enemies closer: structural properties of negative relationships on Twitter

The Ego Network Model (ENM) is a model for the structural organisation of relationships, rooted in evolutionary anthropology, that is found ubiquitously in social contexts. It takes the perspective of a single user (Ego) and organises their contacts (Alters) into a series of (typically 5) concentric circles of decreasing intimacy and increasing size. Alters are sorted based on their tie strength to the Ego, however, this is difficult to measure directly. Traditionally, the interaction frequency has been used as a proxy but this misses the qualitative aspects of connections, such as signs (i.e. polarity), which have been shown to provide extremely useful information. However, the sign of an online social relationship is usually an implicit piece of information, which needs to be estimated by interaction data from Online Social Networks (OSNs), making sign prediction in OSNs a research challenge in and of itself. This work aims to bring the ENM into the signed networks domain by investigating the interplay of signed connections with the ENM. This paper delivers 2 main contributions. Firstly, a new and data-efficient method of signing relationships between individuals using sentiment analysis and, secondly, we provide an in-depth look at the properties of Signed Ego Networks (SENs), using 9 Twitter datasets of various categories of users. We find that negative connections are generally over-represented in the active part of the Ego Networks, suggesting that Twitter greatly over-emphasises negative relationships with respect to “offline” social networks. Further, users who use social networks for professional reasons have an even greater share of negative connections. Despite this, we also found weak signs that less negative users tend to allocate more cognitive effort to individual relationships and thus have smaller ego networks on average. All in all, even though structurally ENMs are known to be similar in both offline and online social networks, our results indicate that relationships on Twitter tend to nurture more negativity than offline contexts.

Contextual Collapse Perspectives on the Socialisation Practices of Text-Pleasing Syndrome in Online Media Environment

The development of media technology has allowed different social contexts to be integrated into online networking platforms, and users face the breakdown and risk of uncontrolled social management in multiple contexts, which has given rise to a variety of new types of social interaction that are different from traditional offline face-to-face communication. The masses use softened language to maintain pluralistic online social relationships, and use ingratiating texts to achieve their performative purposes. The group power structure and the use of symbolic violence regulate the innovative development of the Internet context, and the self-alienation and the lack of media construct a new round of contextual collapse. Starting from the symbolic representation of text-pleasing syndrome, we explore its metaphorical multi-contextual collapse and the way to alleviate the social dilemma so as to construct a new context, and deeply consider the human-technology-society relationship triggered by media availability.

The Influence Mechanism of Online Social Network Relationships on Sustainable Entrepreneurial Success

Affected by economic uncertainty, the success rate of sustainable entrepreneurship is not optimistic at present. Effectively improving the success rate of sustainable entrepreneurship is of great significance for ensuring and maintaining sustainable development for long-term socioeconomic and environmental sustainability. Based on social network theory, entrepreneurial capital theory, psychological capital theory, and the literature on sustainable entrepreneurship, this study explores the influence mechanism of online social network relationships on sustainable entrepreneurial success from the perspective of those relationships, dividing entrepreneurs’ abilities into an online relationship-building ability and online relationship coordination ability. We used an empirical study with 346 valid questionnaires. The results of a PLS-SEM analysis show that online social network relationships have a significant impact on sustainable entrepreneurial capital, in which online relationship-building capacity has a similar impact on both sustainable entrepreneurial resource integration and acquisition; online relationship-building capacity can positively affect both transactional and interpersonal psychological capital; sustainable entrepreneurial resource integration can be more effective than resource acquisition in promoting sustainable entrepreneurial success through the use of social media; and transactional psychological capital has a more significant impact on sustainable entrepreneurial success than does interpersonal psychological capital. This study provides new insights into how entrepreneurs can fully utilize their online social network relationships to achieve entrepreneurial success.

Students’ Loneliness

The aim of this study was to investigate whether support in the offline world and some aspects of social network use predict loneliness in students. A cross-sectional online study was conducted in March 2023 on a sample of 211 (80.6% female) students aged 18 to 26. Participants provided information on the social support they receive in the offline world (tangible support, evaluative support, self-esteem support, and belonging support), some aspects of their social network use (intensity of use, number of friends, and number of likes and comments), and loneliness. The data was analysed using a hierarchical regression analysis. As expected, the analysis showed that stronger appraisal, stronger self-esteem, and stronger belonging support in offline life were associated with lower loneliness in students. Surprisingly, none of the measured aspects of social network use significantly predicted students’ loneliness. These results provide valuable insight into understanding loneliness in the context of offline and online social relationships.

Assessment of the Psychometric Properties of the Perceived Empathic and Social Self-Efficacy Scale in Chinese Adolescents.

There is a burgeoning interest in nurturing adolescents' social and emotional skills, acknowledging the significant influence these abilities have on adolescents' social development and overall well-being. The Perceived Empathic and Social Self-Efficacy Scale (PESSE) emerges as a promising tool designed to capture adolescents' self-perceptions regarding their self-efficacy in empathic and social domains. This study seeks to investigate the psychometric properties of the Chinese Version of the Perceived Empathic and Social Self-Efficacy Scale (PESSE) by examining its factor structure, measurement invariance across gender and age groups, along with its predictive validity concerning adolescent subjective and social well-being. A sample of 512 adolescents (233 boys, 265 girls) aged 10-16 years old (M = 12.69, SD = 1.49) from mainland China participated in this study. Confirmatory factor analysis (CFA) and multi-group CFA were employed to assess the two-factor structure and the measurement invariance of the PESSE across gender and age groups. The results demonstrate that the Chinese PESSE maintains robust psychometric properties as the original version, establishing its reliability (Cronbach's alpha for empathic self-efficacy scale was 0.82, for social self-efficacy scale was 0.85) and validity for assessing adolescents perceived empathic and social self-efficacy. Additionally, findings consistently highlight positive correlations between perceived empathic and social self-efficacy and indicators for adolescents' subjective well-being (self-esteem, positive and negative affect, and symptoms of depression and anxiety) and social well-being (perceived peer support online prosocial behavior, school connectedness, and social relationship). This study supports that the PESSE is a valid and reliable instrument for assessing adolescent perceived empathic and social self-efficacy, underlining the importance of fostering empathic and social self-efficacy skills in adolescence.

Students’ online educational engagement and social relationship through emerging technologies during Covid-19 pandemic

The advancements in educational technology have proven to be useful during remote learning amidst pandemic, especially in connecting with social groups. The study aimed to relate students’ online educational engagement and social relationships through emerging technologies during the Covid-19 outbreak. Following a descriptive-correlational research design, this study involved one hundred twenty (120) regular third-year Mindanao State University-General Santos City, students. They were officially enrolled during the first semester of 2021-2022. The study used a researcher-made survey questionnaire and interview guide questions, checked, and validated by the experts, to gather the needed data in the study. The weighted mean and Pearson Product-Moment Correlation Coefficient was used to analyze and identify the study results. Findings revealed that the students use social media such as Messenger, Google Meet, Facebook, emails, and other online platforms to communicate with their family, friends, and teachers. Also, it was found that students form social relationships through consistent communication and positive communication. The results indicated that the online educational engagement of the students significantly influences their social relationships. This study recommended that the Faculty of the College of Education, Bachelor of Elementary Education, Mindanao State University-General Santos City, may use other online tools such as Viber for online education to enhance students’ online learning further.

Social media use and adolescents' well-being: A note on flourishing.

Several large-scale studies and reviews have reported both negative and positive associations of social media use with well-being, suggesting that the findings are more complex and need more nuanced study. Moreover, there is little or no exploration of how social media use in adolescence influences flourishing, a more all-encompassing construct beyond well-being, including six sub-domains (i.e., happiness, meaning and purpose, physical and mental health, character, close social relationships, and financial stability). This paper aims to fill this gap by understanding how adolescents might flourish through social media activities by fulfilling the basic needs pointed out by the Self-Determination Theory, i.e., relatedness, autonomy, and competence. The study is drawn on cross-sectional data collected from 1,429 Swiss adolescents (58.8% females, Mage = 15.84, SDage = 0.83) as part of the HappyB project in Spring 2022. Self-reported measures included the Harvard Adolescent Flourishing scale, positive and negative online social experiences, self-disclosure on social media, and social media inspiration. Control variables included, among others, self-esteem, ill-being, and personality. After applying Bonferroni's correction, results of the hierarchical regression analyses showed that positive social media experiences (β = 0.112, p < 0.001) and social media inspirations from others (β = 0.072, p < 0.001) and for others (β = 0.060, p = 0.003) were positively associated with flourishing. Flourishing was inversely associated with negative social media experiences (β = -0.076, p < 0.001). Among covariates, self-esteem (β = 0.350, p < 0.001), ill-being (β = -0.252, p < 0.001), perceived school environment (β = 0.138, p < 0.001), self-reported level of physical activity (β =0.109, p < 0.001), and perceived socio-economic status (β = -0.059, p = 0.001) were all related to flourishing. In contrast, gender, high school year, age, perceived stress, and personality (extraversion and neuroticism) were not. Using a well-being framework to investigate social media use in adolescents is needed to go beyond the ill-being perspective. Our results align with the needs pointed out by the Self-Determination Theory. Carrying out social media activities in a way that promotes-rather than diminishes-flourishing should be included as an additional good habit influencing adolescents' development. We suggest that interventions aiming to foster adolescents' flourishing should include curricula aiming to promote a good use of social media through positive online social relationships and inspirational contents.

Social connection and gene regulation during the COVID-19 pandemic: Divergent patterns for online and in-person interaction

BackgroundSocial connection has been linked to reduced disease risk and enhanced antiviral immunity, but it is unclear whether online social connections have similar effects to those previously documented for in-person/offline social relationships, or whether online connections can substitute for in-person social relations when the latter are restricted. We examined this question in the context of the COVID-19 pandemic, focusing specifically on an immune system gene regulation profile known as the conserved transcriptional response to adversity (CTRA), which is characterized by up-regulation of proinflammatory genes and down-regulation of genes linked to innate antiviral responses and antibody production. MethodsWe analyzed CTRA RNA profiles in blood samples from 142 healthy young adults (69% female, 87% white) during the “social distancing” period of the COVID-19 pandemic. Mixed effect linear models quantified the relation of CTRA gene expression to measures of in-person social connection (number of friends, social eudaimonia, loneliness) and online psychosocial connection (online loneliness, perceived social value in online leisure and educational contexts, and internet use) while controlling for demographic and health factors. ResultsMultiple indicators of in-person and generalized social connection were associated with lower CTRA gene expression, whereas no measure of online social connection showed any significant association with CTRA gene expression. ConclusionExperiences of in-person social connection are associated with reduced CTRA gene expression during a period of restricted social interaction. In contrast, online social relationships show no such association. Digitally mediated social relations do not appear to substantially offset the absence of in-person/offline social connection in the context of immune cell gene regulation.

Urban geographical patterns of the relationship between mobile communication, social networks and economic development – the case of Hungary

In the post-industrial age, the transformation of urban networks and urban regions was fundamentally influenced by the rapid spread of infocommunication technologies (ICT) and the Internet. People share information in their daily lives with the help of various ICT devices and ultimately generate georeferenced data that could obtain important information about people’s use of space, spatial movement and social connections. The main aim of the study is to explore the urban geographical and spatial impacts of ICT and social media networks in Hungarian cities. We focus on drawing territorial and settlement hierarchical patterns and clusters based on the mobile communication and online social network relationship data of Hungarian cities. The paper highlights the relationship between the intensity of mobile communication and the density and expansion of intercity social relations and the settlements’ level of economic development, respectively. The methodology is based on mobile phone call detail record (CDR) analysis and intercity network analysis of social media activities. Our findings suggest that different communication networks follow divergent spatial patterns in Hungary. The traditional East–West dichotomy of the Hungarian spatial divide is still reflected in mobile communication, but intercity clusters based on social media activities are usually aligned to the borders of administrative structures. In several cases, we were able to identify strong intercity links between settlements with a similar level of economic development of the mesolevel spatial structure that traverses over different counties and regional borders. Results on social and demographic issues suggest that ‘generation Z’ could play a key role in dampening the social and economic tensions created by the digital divide in the long run. Using a multidimensional explanatory model, we could demonstrate the growing interconnectedness between digital networks and economic development.

Maladaptive Daydreaming in an Adult Italian Population During the COVID-19 Lockdown.

During the COVID-19 outbreak, individuals with or without mental disorders may resort to dysfunctional psychological strategies that could trigger or heighten their emotional distress. The current study aims to explore the links between maladaptive daydreaming (MD, i.e., a compulsive fantasy activity associated with distress and psychological impairment), psychological symptoms of depression, anxiety, and negative stress, and COVID-19-related variables, such as changes in face-to-face and online relationships, during the COVID-19 lockdown in Italy. A total of 6,277 Italian adults completed an online survey, including socio-demographic variables, COVID-19 related information, the 16-item Maladaptive Daydreaming Scale (MDS-16), and Depression, Anxiety, and Stress Scales-21 Items (DASS-21). Based on an empirically derived cut-off score, 1,082 participants (17.2%) were identified as probable maladaptive daydreamers (MDers). A binary logistic regression revealed that compared to controls, probable MDers reported that during the COVID-19 lockdown they experienced higher levels of anxiety and depression, decreased online social relationships, and, surprisingly, stable or increased face-to-face social relationships. Given the peculiar characteristics of the pandemic context, these findings suggest that the exposure to the risk of contagion had probably exacerbated the tendency of probable MDers to lock themselves inside their mental fantasy worlds, which in turn may have contributed to further estrangement from online social relationships and support, thus worsening their emotional distress.

Preference and Constraint Factor Model for Event Recommendation

Newly emerging Event-based Social Network (EBSN) concentrates on connecting both online social relationships and offline local events. For the growing amount of events published on EBSNs, personalized event recommendation becomes essential to help users choose attractive events. But most of existing event recommendation algorithms fail to distinguish constraint factors of users’ event participation behaviors from preference factors, which reflects the cost of event participation that hinders users from attending interested events. To take full advantage of influences from contextual information on users’ event participation, we differentiate preference and constraint factors which contribute to users’ decision for event participation, and extract the soft spatial and temporal constraints from event venue and start time contexts respectively. Then we propose the Preference and Constraint Factor Model (PCFM) based on factorization machine model, using attentive mechanism to weight feature interactions and incorporate latent factors of users and contextual features for personalized perference modeling and event recommendation. Moreover, learning-to-rank techniques are utilized to train PCFM as a ranking model for the implicit feedback nature of responses from users. Extensive experiments evaluate the performance of our proposed recommendation model on real-world EBSN datasets, and demonstrate the outperformance than state-of-art event recommendation methods on many metrics.

The Relevance of Online Social Relationships Among the Elderly: How Using the Web Could Enhance Quality of Life?

This observational study analyzes the impact of Internet use on the quality of life and well-being of the elderly. Specifically, it seeks to understand and clarify the effects of Internet use on relationships in terms of self-esteem, life satisfaction, and Online and Offline Social Support in a sample of senior and elderly Italian people (over 60 years of age). A cohort of 271 elderly people (133 males and 138 females) aged between 60 and 94 years old participated in the study: 236 were Internet Users while the other 35 were Non-Internet Users. The results showed that the time elderly people spend online has a negative effect on their perception of Offline Social Support (Offline Emotional and Informational and Offline Affective Social Support) and a positive effect on their perception of Online Social Support (particularly on Online Positive Social Interactions). Surprisingly, Internet use among elderly people seems to positively affect the perception of Offline Social Support. Indeed, elderly Internet Users have a more positive perception of Offline Social Support (particularly Offline Positive Social Interactions and Offline Affective Social Support) than Non-Internet Users. A discussion of this finding is provided, positing that the Internet seems to represent the technological side of a functional organ that allows the elderly to stay in closer touch with their family and friends and in doing so to also overcome some age-related difficulties.

How Could Peers in Online Health Community Help Improve Health Behavior.

Human behavior is the largest source of variance in health-related outcomes, and the increasingly popular online health communities (OHC) can be used to promote healthy behavior and outcomes. We explored how the social influence (social integration, descriptive norms and social support) exerted by online social relationships does affect the health behavior of users. Based on an OHC, we considered the effect of three types of social relationships (friendship, mutual support group and competing group) in the OHC. We found that social integration, descriptive norms and social support (information and emotional support) from the OHC had a positive effect on dietary and exercise behavior. Comparing the effects of different social relationships, we found that the stronger social relationship—friendship—had a stronger effect on health behavior than the mutual support group and competing group. Emotional support had a stronger effect on health behavior than informational support. We also found that the effects of social integration and informational support became stronger as membership duration increased, but the effects of the descriptive norms and emotional support became smaller. This study extended the research on health behavior to the online social environment and explored how the social influence exerted by various social relationships in an OHC affected health behavior. The results could be used for guiding users to make use of online social relationships for changing and maintaining healthy behavior, and helping healthcare websites improve their services.

When Wireless Crowd Charging Meets Online Social Networks: A Vision for Socially Motivated Energy Sharing

Individual users of a social crowd are bound by finite resource capacity. Other users (such as online friends) may have surplus capacity or resources that, if shared, could be used to meet fluctuating demand. A particularly important resource in modern societies is the energy supplies of mobile portable devices like smartphones; quick energy depletion is an everyday problem in the lives of billions of smartphone users worldwide. Peer-to-peer wireless crowd charging has recently emerged as an alternative energy replenishment option. Although there have been some recent advances on this type of wireless energy sharing, to the best of our knowledge, none of the related works has considered using online social network information as input. In this paper, for the first time in the state of the art, we introduce the vision of socially motivated wireless energy sharing and we provide a holistic framework for socially aware wireless crowd charging. We present a taxonomy of the existing representative use cases, and we define a model which takes into account not only the wireless power transfer specifics, but also the online social information. After having selected a target use case (balanced crowd energy efficiency), we design two socially aware wireless energy sharing protocols. The design of each protocol is inspired by the social topology and structural characteristics of diverse datasets of online social relationships among real users. In fact, aligning to studies on psychology which conclude that users typically favor friends over strangers in allocating resources (especially when the sharing task is costly), our protocols favor energy exchanges among friends or friendly groups. For the purposes of the protocol evaluation, we simulate the energy sharing interactions based on the user encounters, as reported in the datasets. In order to demonstrate the effects of the social component, we compare the performance of our protocols to the performance of another state of the art protocol that does not use online social information. Interestingly enough, we demonstrate that online social network information can indeed influence the selected use case, in terms of energy losses, as well as level of and time elapsed until a balanced energy distribution in the crowd. We conclude the paper by providing some interesting open research directions.

Missing information imputation for disease-dedicated social networks with heterogeneous auxiliary data

Many high impact applications suffer from missing information. For example, disease-dedicated social networks provide additional resources to glimpse into patients’ daily life related to disease management. However, due to the voluntary nature of such social networks, the information reported by patients is often incomplete, making the following data analytics tasks particularly challenging. On the other hand, in addition to the target data that we aim to analyze, we may also have other related data at our disposal. For example, to analyze disease-dedicated social networks, auxiliary clinical data (with potentially non-overlapping patients), as well as the users’ online social relationship might provide additional information for estimating the missing information. Therefore, the key question we aim to answer in this paper is how we can leverage the heterogeneous auxiliary data for the sake of missing information imputation. To answer this question, we focus on diabetes-dedicated social networks, and we aim to estimate the missing information from patients’ self-reported biomarker measurements. In particular, we propose a hypergraph structure to model the relationship among users and user-generated content (posts). Based on the hypergraph structure, we further introduce an optimization framework to estimate the missing biomarker measurements using heterogeneous auxiliary data. To solve the optimization framework, we design iterative algorithms to find the local optimal solution. Experimental results on both synthetic and real data sets (including a data set collected from a diabetes-dedicated social network) demonstrate the effectiveness of the proposed algorithms.

How Smoking Advocates are Connected Online: An Examination of Online Social Relationships Supporting Smoking Behaviors

Social media platforms can facilitate online relationship formation among people who engage in risky health behavior such as smoking or unprotected sex. The purpose of this study is to gain a better understanding of how individuals who promote risky health behavior are connected with similar others on social media. Focusing on smoking behavior, this study investigates the theoretical mechanisms that drive social connections among pro-smoking users, and examines an empirical instance of one such network structure on Twitter. Consistent with the social identity framework, the study finds that pro-smoking networks manifest higher stance homophily (pro-smoking vs. anti-smoking) and higher network cohesion than anti-smoking networks. Different from the hypothesis, however, the result shows lower network exclusivity than anti-smoking networks. Most pro-smoking users who had social ties with anti-smoking users were found to be individuals rather than pressure groups or organizations. Bridging users on both sides tended to be linked to pressure groups. This paper concluded with discussion of implications of the current findings.

Harga Diri dan Adiksi Internet: Tinjauan Meta-Analisis

The aim of this meta-analysis study is to figure out the true correlation between self-esteem and internet addiction. This meta-analysis uses 159 studies from 40 scientific articles from the year of 2005-2018 and involved in 120.825 participants. Correction for the two artifacts studied in this meta-analysis first is sampling error, and the second one is measurement error. The results support the hypothesis and show some similar findings whereas the true correlations from the groups confirm previous researches that self-esteem has a negative correlation to internet addiction. The strongest correlation found in adolescence group followed by men and women, all participant, also students and college students groups. However, these findings show that the internet accommodates individuals with negative self-esteem to build online social relationships and fulfilling their communication and pleasure needs and makes them easier committed to deviant behavior such as internet addiction.

Influence of adolescents’ peer relationships and social media on academic identity

ABSTRACTAcademic identity is a key factor that facilitates learning. Many factors influence academic identity, and peers exert crucial influence that has been broadened by social media. Therefore, this study focuses on the possible impact of this broadened scope of peer relationships on adolescents’ development of academic identity. A retrospective analysis was adopted to investigate how recent high school graduates perceived online social capital, peer relationships and academic identity during high school life. A total of 1,286 Chinese high school graduates (510 males and 776 females) participated in the survey. Correlation, mediated regression and moderated multiple regressions were applied to data analysis. Results confirmed that the surveyed Chinese adolescents frequently used social media, and they accessed such platforms mostly at home. These students perceived more emotional than substantive support from social media, and their use of these platforms affected the observed academic identity. This effect was reflected in the positive association between online social capital and academic identity and the partial mediating role of peer relationships on this association. Meanwhile, the gender and region variables moderated the association between online social capital and academic identity. Finally, the implications of these results for research and practice were discussed.

호텔과 온라인 소셜커머스 간의 관계마케팅에서 성공요인과 신뢰와 몰입의 매개효과 분석

The purpose of this study was to examine the antecedents of relationship marketing and their successful consequences between online social commerce and hotels by applying commitment-trust theory. The results showed that relationship value sharing, online relationship benefits, marketing communication, flexibility of online decision making, and online compatibility, which are the antecedent factors of commitment and trust in hotel and online social commerce marketing, had a positive effect on commitment. Marketing communication and online compatibility had a positive effect on trust. Trust was not significant for commitment. Commitment had a positive effect on relationship satisfaction, financial performance, and intention of long-term relationship, but, trust only had a positive effect on financial performance. Trust and commitment were found to associate with a partial mediating effect between the antecedents and the consequences. In some cases, the relationship between the antecedents and the consequences were fully mediated. The partial mediating effect of trust and commitment can be considered as a more positive effect on the performance of the hotel and online social commerce relationship when the antecedents are transmitted to the consequences through trust and commitment.

Inferring Online Social Ties from Offline Geographical Activities

As mobile devices are becoming ubiquitous nowadays, the geographical activities and interactions of human beings can be easily recorded and accessed. Each mobile individual can belong to an online social network. Unfortunately, the underlying online social relationships are hidden and only available to service providers. Acquiring the social network of mobile users would enrich lots of mobile applications, such as friend recommendation and energy-saving mobile database management. In this work, we propose to infer online social ties using purely offline geographical activities of users, such as check-in records and spatial meeting events. To tackle the problem, we devise a novel inference framework, O2O-I nf , which consists of two components, Feature Modeling and Link Inference . Feature modeling is to characterize both direct and indirect geographical interactions between nodes from co-location and graph features. Link inference aims to infer the social ties based on a small set of observed social links, and the idea is that pairs of nodes sharing similar geographical behaviors have the same tendency of linkage (i.e., either being friends or non-friends). Experiments conducted on a G owalla location-based social network and a M eetup event-based social network exhibit a satisfying performance in comparison to state-of-the-art prediction methods under the settings of offline-to-online network inference and geo-link prediction.