Effects Of Social Interactions Research Articles

Social Interaction and Stock Market Participation: A Study of Kathmandu Valley Investors

This research aims to explore how social interaction influences stock market participation in the Kathmandu Valley. It utilizes a descriptive and causal study design, applying a positivist approach to investigate the phenomenon. The focus is on understanding the effects of social interactions on individuals' involvement in the stock market within this specific geographical context. A questionnaire survey was conducted to collect data about factors influencing participation in the stock market. A total of 399 samples were gathered from this population using convenience sampling. The data was then analyzed using several statistical techniques. Reliability analysis was employed to assess the internal consistency of the measurement instruments. The results of the analyses found that internet usage, social norms/community influence, and the influence of friends/partners had a significant impact on whether someone participates in the stock market. However, there was no evidence that parental involvement in the stock market influences their children's participation. In summary, the study examined how different factors relate to individuals' participation in the stock market through a survey and statistical analyses of the collected data. Internet access, social environment, and peer influences were found to affect participation, but not parental involvement.

The Influence of Social Media Strategy, Customer Interaction, and Word of Mouth on E-commerce Purchase Intention

This study investigates the effects of social media strategy, customer interaction, and word of mouth on e-commerce purchase intention. Utilizing a quantitative approach, data were collected from 360 respondents using a structured questionnaire with a Likert scale ranging from 1 to 5. The analysis employed Structural Equation Modeling with Partial Least Squares (SEM-PLS 3) to assess the relationships among the variables. The findings reveal that a well-implemented social media strategy significantly enhances customer interaction and positively influences word of mouth, which in turn drives purchase intention in the e-commerce sector. These results underscore the importance of strategic social media engagement and effective customer communication in fostering consumer intent to purchase online. The study provides valuable insights for e-commerce businesses seeking to optimize their marketing strategies and enhance customer engagement.

Pengaruh Interaksi Sosial terhadap Kemampuan Emosi Anak Usia Dini di Raudhatul Athfal Tunas Kualuh Kecamatan Kualuh Hilir Kabupaten Labuhanbatu Utara

This study aims to determine the effect of social interaction on the emotional abilities of early childhood in Raudhatul Athfal Tunas Kualuh, Kualuh Hilir District, North Labuhanbatu Regency and identify the effect of social interaction on children's emotional abilities. This type of research is descriptive quantitative research, the population in this study involved 30 respondents and respondents using instruments that were tested for validity and reliability of sampling techniques using probability techniques, data collection instruments using observation and documentation. As for the formulation of the problem, namely how is the social interaction of children in RA Tunas Kualuh, how is the emotional ability of children in RA Tunas Kualuh, and is there an influence of social interaction on children's emotional abilities in RA Tunas Kualuh? The data analysis techniques used are normality test, and homogeneity test and hypothesis test (T test). Based on the results of the study that the validity test shows that the instruments for social interaction variables (X1) and emotional abilities (Y2) are valid and reliable. Normality test with Kolmogorov-Smirnov shows that the data is normally distributed (Asymp.Sig. = 0.370). The homogeneity test showed that the variance between groups was homogeneous (Sig = 0.517). The results of the hypothesis test (T test) indicated that social interaction has a significant influence on children's emotional abilities (Sig = 0.000), with a Beta coefficient of -0.723. This study concluded that social interaction plays a significant role in influencing children's emotional abilities in RA Tunas Kualuh, with the instruments used being valid and reliable. Thus Ho is rejected and Ha is accepted that social interaction does have a significant influence on children's emotional abilities.

Adaptive network modeling for joint action and memory recall for elderly by detecting interpersonal synchrony

This paper explores the potential of adaptive network modeling for joint action and memory recall among elderly through detecting interpersonal synchrony. With the aging population increasing, there is a crucial need to focus on the health and social interaction of older adults. Based on research of the significance of social interaction and memory use for the elderly, as well as the role of interpersonal synchrony in joint action, this paper aims to analyse computationally how to enhance positive effects of social interactions among older individuals by applying an adaptive network model. The research examines the concept of interpersonal synchrony and its impact on joint action, memory, and emotional well-being in elderly populations. Through simulation experiments and analysis, the study demonstrates the potential benefits for music in memory recall for older adults with cognitive decline, highlighting the importance of social interaction and emotional resonance. This study offers a valuable contribution to understanding and improving social interactions and memory recall among the elderly.

Exploring the Landscape: The Societal Impact of Social Media Marketing

In the digital age, social media marketing has drastically altered social connections and customer behavior. With an emphasis on how social media marketing influences consumer attitudes, cultural norms, and mental health, this study explores the numerous ways that social media marketing impacts society. As businesses utilize Facebook, Instagram, and Twitter more and more to communicate with big audiences, understanding these consequences is critical. The study aims to determine how social media marketing affects, among other aspects of society, social interactions, cultural perspectives, consumer behavior, and mental health. The study makes use of secondary data collection methods, including a comprehensive survey of the literature. Thematic analysis is used to find patterns and gather data. Significant research demonstrates that social media marketing significantly increases consumer involvement through customized campaigns and user-generated content, which fortifies brand loyalty and influences consumer behavior. It does, however, also reinforce cultural norms and prejudices while offering the possibility of societal transformation. Virtual communities are known to be altering social interactions, but using them excessively might lead to social isolation. Negative pressure to maintain idealized online personas and constructive criticism are both hazardous to mental health. The growing importance of influencer marketing is emphasized, but so are privacy and ethical issues around data collection and targeted advertising. With cutting-edge technologies like augmented reality, virtual reality, and artificial intelligence, social media marketing is set to undergo yet another revolution. The study offers several recommendations, such as enhancing the personalization of marketing campaigns, utilizing user-generated content, balancing cultural representation, lessening the detrimental effects of social interactions, prioritizing mental health, addressing ethical and privacy issues, ensuring that influencer marketing is genuine, and embracing emerging technologies. Future research on these processes is warranted, focusing on the moral implications and challenges of developing technologies. This in-depth investigation highlights how important it is to act ethically and continuously adapt to the ever-changing world of social media marketing.

Managing Relationship Conflict at Work: The Effect of Emotion Regulation and Social Interactions

Managing Relationship Conflict at Work: The Effect of Emotion Regulation and Social Interactions

Modelling co-evolution of resource feedback and social network dynamics in human-environmental systems

Games with environmental feedback have become a crucial area of study across various scientific domains, modelling the dynamic interplay between human decisions and environmental changes, and highlighting the consequences of our choices on natural resources and biodiversity. In this work, we propose a co-evolutionary model for human-environment systems that incorporates the effects of knowledge feedback and social interaction on the sustainability of common pool resources (CPRs). The model represents consumers as agents who adjust their resource extraction based on the resource’s state. These agents are connected through social networks, where links symbolize either affinity or aversion among them. The interplay between social dynamics and resource dynamics is explored, with the system’s evolution analyzed across various network topologies and initial conditions. We find that knowledge feedback can independently sustain CPRs. However, the impact of social interactions on sustainability is dual-faceted: it can either support or impede sustainability, influenced by the network’s connectivity and heterogeneity. A notable finding is the identification of a critical network mean degree, beyond which a depletion/repletion transition parallels an absorbing/active state transition in social dynamics, i.e. individual agents and their connections are/are not prone to being frozen in their social states. Furthermore, the study examines the evolution of the social network, revealing the emergence of two polarized groups where agents within each community have the same affinity. Finally, we observe an inverse relationship between system complexity and sustainability. Comparative analyses using Monte–Carlo simulations and rate equations are employed, along with analytical arguments, to reinforce the study’s findings. The model successfully captures key aspects of the human-environment system, offering valuable insights to understand how both the spread of information and social dynamics may impact the sustainability of CPRs.

Unravelling the mechanisms underlying the social interaction effects on the feed efficiency of rabbits

The feed consumption and feeding patterns of group-housed livestock and their productive outputs can be affected by interactions among group members, such as competition for feeder access and aggression. The impact of competition is especially significant when feed restriction is implemented during the fattening stage, a common practice in rabbit farms to reduce mortality from digestive disorders during this period. The overall aim was to quantify the importance of social interaction effects at the genetic and environmental level on feed efficiency, feeding behaviour and social ranking traits in rabbit populations having access to electronic feeders whilst they were housed in groups during fattening. This was done by quantifying novel feeding behaviour (FB) and social ranking (SR) traits and by estimating the genetic parameters and genetic correlations between all combinations of direct and social effects of these traits and residual feed intake (RFI), an indicator of feed efficiency. These effects were estimated in animals fed either ad libitum (AL) or on a time-based feed restriction (R) and were selected for feed efficiency on these feeding regimes for six generations. We found that there were substantial social genetic and social litter effects on RFI and FB traits, manifesting as antagonistic relationships between direct and social genetic effects. These effects were stronger amongst the R, as opposed to the AL animals. Despite these antagonistic relationships, the large social genetic effects resulted in substantial heritable variation available for selection of these traits, and therefore feeding behaviour could be changed by genetic selection, especially for R animals. The indicators of an animal’s SR were also heritable and subject to social genetic effects and therefore may respond to selection. However, the phenotypic population mean would not change, because such traits are context−specific. The animals that took most of the feeding resources and had priority access to the feeder had a higher RFI, that is, they were less efficient, but they made their cage mates more efficient. This is the first time that the genetic correlations between direct effects of RFI and direct effects of FB and SR traits, as well as between social effects of RFI and direct effects of FB traits and SR traits, have been quantified. Results could help to understand the mechanisms by which an animal exerts its influence on the feed efficiency of its cage mates under different feeding regimes and assist in the development of breeding strategies.

Status-dependent metabolic effects of social interactions in a group-living fish.

Social interactions can sometimes be a source of stress, but social companions can also ameliorate and buffer against stress. Stress and metabolism are closely linked, but the degree to which social companions modulate metabolic responses during stressful situations-and whether such effects differ depending on social rank-is poorly understood. To investigate this question, we studied Neolamprologus pulcher, a group-living cichlid fish endemic to Lake Tanganyika and measured the metabolic responses of dominant and subordinate individuals when they were either visible or concealed from one another. When individuals could see each other, subordinates had lower maximum metabolic rates and tended to take longer to recover following an exhaustive chase compared with dominants. In contrast, metabolic responses of dominants and subordinates did not differ when individuals could not see one another. These findings suggest that the presence of a dominant individual has negative metabolic consequences for subordinates, even in stable social groups with strong prosocial relationships.

Mathematical Model of Social Interaction between the Sufferers of Cardiovascular and Type 2 Diabetes Mellitus

Type 2 diabetes mellitus is a non-communicable medical condition that is most commonly suffered in compare to type 1 diabetes, gestational diabetes, or diabetes that is caused by pathogen or disorders. The other important non-communicable medical condition is cardiovascular disease that occurs due to impaired blood circulation in the heart and blood vessels. The unhealthy lifestyle behaviors that mainly influenced by social interactions play an important role to increase the number of prevalence for those diseases. In this paper, we consider a mathematical model of the social interactions effects to the sufferers of the cardiovascular and type 2 diabetes mellitus diseases. We separate the population to five sub populations, i.e., individuals with normal weight, individuals who have obesity, individuals with cardiovascular disease only, individuals with type 2 diabetes mellitus disease only, and individuals with both cardiovascular and type 2 diabetes mellitus diseases. By using linear analysis and bifurcation theory, we determine the steady state conditions analytically and show some scenarios for the population based on variation of the parameters value numerically.

Влияние online-дискуссий на формирование навыков аргументации у будущих инженеров

The paper presents the results of empirical research on the effectiveness of online discussions (OD) as a tool for forming argumentation skills among technical university students. On the one hand the actuality of the research is conditioned by the significance of discussion-based training of modern technical specialists under conditions of networking and socio-technical transformation of engineering activity. On the other hand, this problem is not elaborated in the domestic, pedagogies and also contradictory and poorly studied aspects in the foreign one. The results of the present study are important for scientifically substantiated methodological implementation of new approaches to engineering training under conditions of digitalization of education and increased requirements for discussion and information competence of a modern technical specialist. The research was conducted on the basis of two Novosibirsk universities and covered 350 second – and third-year students in "construction" and "automation and computer engineering" baccalaureate specialties. The analysis of the OD results conducted in VLE "Moodle" using "debate" (synchronous discussion) and "forum" (asynchronous discussion) methods showed that inclusion of online-discussions in to the educational process of technical universities improves argumentation skills of future engineers by 20-30 %. The data obtained at the stages of the forming and control experiment let us reveal a higher efficiency of asynchronous forms of online-discussions in comparison with synchronous ones. Their advantage is to 28,68 %, depending on the formed component of argumentation. Based on the results of the study recommendations were given to teachers to improve the effectiveness of social interaction of students during OD, including the feasibility of replacing debates with synchronous discussion methods, more focused on the joint search for solutions.

The Relative Contribution of Social Interaction in Predicting the Quality of Life Among Students of King Faisal University

Objective: The study aimed to identify the extent of social interaction's ability to predict the quality of life among students at King Faisal University. Theoretical Framework: In this topic, the main concepts and theories that underpin the research are presented. [List relevant theories, models or frameworks] stand out, providing a solid basis for understanding the context of the investigation. Method: The researchers used a descriptive approach (correlational, causal-comparative, and predictive), administering two scales (social interaction - quality of life) to a sample of 407 Male and female students. Results and Discussion: The study found a positive and statistically significant correlation between social interaction and quality of life among university students. Students' social interaction level was generally high, especially in relationships, integration, and initiative. The level of quality of life among students was high in general and in all its dimensions. The results also showed statistically significant differences in the "influence" and "cooperation" dimensions of social interaction in favour of males. There are no significant differences in the rest of the dimensions or the total degree of social interaction between males and females. Research Implications: Professors and university staff, as a socializing place, can influence formal processes that enhance the social interaction of students, which allows them to have a better quality of life. Originality/Value: According to the review conducted, there are no previous studies that investigate the predicting effect of social interaction on the quality of life among university students.

Households in energy transition: Promoting household energy-sufficient routines via app-based peer-to-peer interaction

We engage a community of ca. 200 voluntary Swiss households in using a smartphone app that provides energy consumption feedback and offers peer-to-peer interaction possibilities to share experiences on household routine change. Surveys prior to and three months after app use, in-app usage analytics, and analysis of in-app posts indicate that most households preferred individual-level consumption feedback: app-mediated peer interaction was only performed by a small household subsample, precluding community-level social learning. Most self-reported daily energy routines changed after app use, though effect size was generally small, apart from thermostat settings. Also, we found most app users were already well-informed on energy topics and engaged in energy savings at home. Future research could explore how to better reach alternative audiences for app-based interventions, and improve the effectiveness of social interactions to collectively experiment with new sustainable practices, therefore giving less prominence to individual-level app features.

Gender and racial disparities in altruism in social networks

This paper studies gender and racial disparities in altruism among social network members who are endogenously linked. We specify group (gender or race) specific altruistic interactions models, as well as intra- and inter-group altruistic interactions models, to capture the heterogeneous patterns of altruism associated with the characteristics of two individuals in pairs. We apply the models to the Add Health data to identify altruism and social interaction effects on academic achievement and smoking behaviors among adolescents. The results indicate that females are generally more altruistic than males, and whites appear to be the most altruistic racial group. We also find that blacks exhibit spiteful effects towards other black students who are considered to “act white.”

A Coordinated Data Analysis of Four Studies Exploring Age Differences in Social Interactions and Loneliness During a Global Pandemic.

Examining loneliness and social isolation during population-wide historical events may shed light on important theoretical questions about age differences, including whether these differences hold across different regions and the time course of the unfolding event. We used a systematic, preregistered approach of coordinated data analysis (CDA) of 4 studies (total N = 1,307; total observations = 18,492) that varied in design (intensive repeated-measures and cross-sectional), region, timing, and timescale during the first year of the coronavirus disease 2019 pandemic. We harmonized our data sets to a common period within 2020-2021 and created a common set of variables. We used a combination of ordinary least squares regression and multilevel modeling to address the extent to which there was within- and between-person variation in the associations between social isolation and loneliness, and whether these associations varied as a function of age. Within- and between-person effects of social interactions were negatively associated with loneliness in 1 study; in follow-up sensitivity analyses, these patterns held across early and later pandemic periods. Across all data sets, there was no evidence of age differences in the within-person or between-person associations of social interactions and loneliness. Applying the CDA methodological framework allowed us to detect common and divergent patterns of social interactions and loneliness across samples, ages, regions, periods, and study designs.

Belief in Religion or Participation in Insurance? The Impact of Religious Beliefs on the Decision to Participate in Social Health Insurance in China

Investigating the factors that influence individual decisions to participate in social health insurance is an essential component of constructing a multi-tiered, comprehensive social health insurance system, and religious beliefs may constitute an important potential factor. Utilising data from the China General Social Survey (CGSS), this study has developed a comprehensive explanatory framework encompassing both macro- and micro-level analyses to ascertain the impact of religious beliefs on individual decisions to participate in social health insurance through quantitative methods. The findings indicate that religious beliefs significantly diminish the likelihood of individuals participating in social health insurance, and the influence varies among different types of religions; endogeneity and robustness tests offer robust support for these conclusions. With respect to heterogeneity, the influence of religious beliefs on the decision to participate in social health insurance exhibits differentiation across dimensions such as educational attainment, social trust levels, income levels, and self-rated health statuses. Furthermore, the social interaction effect and the employment opportunity effect are identified as potential mechanisms driving this influence.

Social interactions generate complex selection patterns in virtual worlds.

Understanding the influence of social interactions on individual fitness is key to improving our predictions of phenotypic evolution. However, we often overlook the different components of selection regimes arising from interactions among organisms, including social, correlational, and indirect selection. This is due to the challenging sampling efforts required in natural populations to measure phenotypes expressed during interactions and individual fitness. Furthermore, behaviours are crucial in mediating social interactions, yet few studies have explicitly quantified these selection components on behavioural traits. In this study, we capitalize on an online multiplayer video game as a source of extensive data recording direct social interactions among prey, where prey collaborate to escape a predator in realistic ecological settings. We estimate natural and social selection and their contribution to total selection on behavioural traits mediating competition, cooperation, and predator-prey interactions. Behaviours of other prey in a group impact an individual's survival, and thus are under social selection. Depending on whether selection pressures on behaviours are synergistic or conflicting, social interactions enhance or mitigate the strength of natural selection, although natural selection remains the main driving force. Indirect selection through correlations among traits also contributed to the total selection. Thus, failing to account for the effects of social interactions and indirect selection would lead to a misestimation of the total selection acting on traits. Dissecting the contribution of each component to the total selection differential allowed us to investigate the causal mechanisms relating behaviour to fitness and quantify the importance of the behaviours of conspecifics as agents of selection. Our study emphasizes that social interactions generate complex selective regimes even in a relatively simple ecological environment.

Racial/ethnic minority females smoke more cigarettes after social interaction with others who smoke

The present study investigated the effects of social interaction with others who smoke on daily cigarette use among diverse females via ecological momentary assessment methods. Ninety-eight premenopausal females (29.6% White, 70.4% racial/ethnic minority) who smoke daily reported their social interactions and cigarette use over 35-days. Greater than usual levels of social interaction with others who smoke was associated with increased cigarette use that day among racial/ethnic minority females. Future smoking cessation interventions targeting racial/ethnic minority females should consider the impact of social environments on smoking behaviors, such as the frequency of peer interactions with others who smoke.

When does antimicrobial resistance increase bacterial fitness? Effects of dosing, social interactions, and frequency dependence on the benefits of AmpC β-lactamases in broth, biofilms, and a gut infection model.

One of the longstanding puzzles of antimicrobial resistance is why the frequency of resistance persists at intermediate levels. Theoretical explanations for the lack of fixation of resistance include cryptic costs of resistance or negative frequency-dependence but are seldom explored experimentally. β-lactamases, which detoxify penicillin-related antibiotics, have well-characterized frequency-dependent dynamics driven by cheating and cooperation. However, bacterial physiology determines whether β-lactamases are cooperative, and we know little about the sociality or fitness of β-lactamase producers in infections. Moreover, media-based experiments constrain how we measure fitness and ignore important parameters such as infectivity and transmission among hosts. Here, we investigated the fitness effects of broad-spectrum AmpC β-lactamases in Enterobacter cloacae in broth, biofilms, and gut infections in a model insect. We quantified frequency- and dose-dependent fitness using cefotaxime, a third-generation cephalosporin. We predicted that infection dynamics would be similar to those observed in biofilms, with social protection extending over a wide dose range. We found evidence for the sociality of β-lactamases in all contexts with negative frequency-dependent selection, ensuring the persistence of wild-type bacteria, although cooperation was less prevalent in biofilms, contrary to predictions. While competitive fitness in gut infections and broth had similar dynamics, incorporating infectivity into measurements of fitness in infections significantly affected conclusions. Resistant bacteria had reduced infectivity, which limited the fitness benefits of resistance to infections challenged with low antibiotic doses and low initial frequencies of resistance. The fitness of resistant bacteria in more physiologically tolerant states (in biofilms, in infections) could be constrained by the presence of wild-type bacteria, high antibiotic doses, and limited availability of β-lactamases. One conclusion is that increased tolerance of β-lactams does not necessarily increase selection pressure for resistance. Overall, both cryptic fitness costs and frequency dependence curtailed the fitness benefits of resistance in this study.

The oxytocin receptor is essential for the protective effect of pair housing on post-stroke depression in mice

The beneficial effect of social interaction in mitigating the incidence of post-stroke depression (PSD) and ameliorating depressive symptoms has been consistently demonstrated through preclinical and clinical studies. However, the underlying relationship with oxytocin requires further investigation. In light of this, the present study aimed to explore the protective effect of pair housing on the development of PSD and the potential relationship with oxytocin receptors. The PSD model was induced by middle cerebral artery occlusion (MCAO) for 50 min, followed by 4-week isolated housing and restrained stress. Subsequently, each mouse in the pair-housing group (PH) was pair-housed with an isosexual healthy partner. Another group was continuously administrated fluoxetine (10 mg/Kg, i.p, once a day) for 3 weeks. To elucidate the potential role of oxytocin, we subjected pair-housed PSD mice to treatment with an oxytocin receptor (OXTR) antagonist (L368,889) (5 mg/Kg, i.p, once a day) for 3 weeks. At 31 to 32 days after MCAO, anxiety- and depressive-like behaviors were assessed using sucrose consumption, forced swim test, and tail-suspension test. The results showed that pair housing significantly improved post-stroke depression to an extent comparable to that of fluoxetine treatment. Furthermore, pair housing significantly decreased corticosterone in serum, increasing OXT mRNA expression in the hypothalamus. Treatment with L368,889 essentially reversed the effect of pair housing, with no discernible sex differences apart from changes in body weight. Pair housing increased hippocampal serotonin (5-HT), but treatment with L368,889 had no significant impact. Additionally, pair housing effectively reduced the number of reactive astrocytes and increased Nissl's body in the cortex and hippocampal CA3 regions. Correspondingly, treatment with L368,889 significantly reversed the changes in the Nissl's body and reactive astrocytes. Moreover, pair housing downregulated mRNA levels of TNF-α, IL-1β, and IL-6 in the cortex caused by PSD, which was also reversed by treatment with L368,889. In conclusion, pair housing protects against the development of PSD depending on OXT and OXTR in the brain, with no significant divergence based on sex. These findings provide valuable insights into the potential of social interaction and oxytocin as therapeutic targets for PSD. Further research into the underlying mechanisms of these effects may contribute to the development of novel treatments for PSD.