The Relationship Between the Social Trust, Social Network andn of Intellectual Capital among Sports for all Instructors

2007 ◽  
Vol 20 (2) ◽  
pp. 349-362
Author(s):  
HyoMin Kang ◽  
KWANG LEONG HAN
Keyword(s):  
Social Network ◽  
Intellectual Capital ◽  
Social Trust ◽  
The Social ◽  
The Relationship

scholarly journals FACTORS AFFECTING DISPOSITION EFFECT IN EQUITY INVESTMENT: A SOCIAL NETWORK ANALYSIS APPROACH

2020 ◽  
Vol 5 (3) ◽  
pp. 64-86
Author(s):  
K. Kajol ◽  
Prasita Biswas ◽  
Ranjit Singh ◽  
Sana Moid ◽  
Amit Kumar Das
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Stock Market ◽  
Influencing Factors ◽  
Social Trust ◽  
Complete Analysis ◽  
Disposition Effect ◽  
Factors Affecting ◽  
The Relationship

The study aims at identifying the factors influencing the disposition effect acting on equity investors and further identifying the relationship between the influencing factors. The study aims at conducting a complete analysis of the influencing factors along with measuring their impact on disposition effect using Social Network Analysis (SNA).The factors affecting disposition effect on investors were identified through the literature review. Experts’ opinions were sought for determining the relationship among the factors and finally, the importance of those factors was analyzed using Social Network Analysis (SNA). It was found that social trust, investor emotion are the two most important factors affecting the other factors of disposition effect and consequently disposition effect finally. Besides, mental accounting; regret aversion, trading intensity, trading volume, and portfolio performance strongly influence the effect of disposition on investors because of their higher in-degree and out-degree. Therefore, the policymakers need to impart training to the investors to understand the mechanism of the stock market so that they can evaluate their standing in the stock market which, in the long run, will be reflected in their investment behavior. 

scholarly journals Ego-Centric Social Network Analysis in Marketing of Fish From Cage Culture System In Simalungun District, Indonesia

2019 ◽  
Vol 8 (4) ◽  
pp. 105-113
Author(s):  
Feriel Amelia Sembiring ◽  
Fikarwin Zuska ◽  
Bengkel Ginting ◽  
Rizabuana Ismail ◽  
Henry Sitorus
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Network Analysis ◽  
Culture System ◽  
Qualitative Approach ◽  
Mutual Trust ◽  
Cage Culture ◽  
The Social ◽  
The Village ◽  
The Relationship

Aquaculture of Cage Culture is one of the main activities carried out by the community in the village of Haranggaol to fulfill their economic needs. This cultivation business establishes a relationship between traders and cages in terms of marketing their crops. There are 3 egocentric actors in the Haranggaol area. They are collectors (entrepreneurs/farmers who own capital), namely the Rohakinian group, the Siharo group, and the Paimaham group. Through these three egocentric actors, a social network is formed with several alters. Based on the qualitative approach with use Ucinet software, the mapping of their social networks can be seen as follows: alter actors connected to the Rohakinian group are 12 farmers in the group and 2 farmers outside the group with a density of 0.033. There are 27 alter actors connected to the Siharo group, 21 from the group and 6 from outside the group with a density of 0.014. There are 27 alter actors connected to the Paimaham group, namely 36 farmers from their groups and 10 farmers outside the group with a density of 0.005. The social networks that occur between these actors are intertwined due to the existence of kinship relationships, family or close friends who know each other among them. The relationship between family, family or close friends built with mutual trust make this network integrated.

Social Networks and Social Complexity in Female-bonded Primates

2010 ◽  
Author(s):  
Julia Lehmann ◽  
Katherine Andrews ◽  
Robin Dunbar
Keyword(s):  
Social Network ◽  
Social Relationships ◽  
Social Complexity ◽  
Social Bonds ◽  
Primate Brain ◽  
The Social ◽  
Group Members ◽  
Primate Group ◽  
Network Metrics ◽  
The Relationship

Most primates are intensely social and spend a large amount of time servicing social relationships. The social brain hypothesis suggests that the evolution of the primate brain has been driven by the necessity of dealing with increased social complexity. This chapter uses social network analysis to analyse the relationship between primate group size, neocortex ratio and several social network metrics. Findings suggest that social complexity may derive from managing indirect social relationships, i.e. relationships in which a female is not directly involved, which may pose high cognitive demands on primates. The discussion notes that a large neocortex allows individuals to form intense social bonds with some group members while at the same time enabling them to manage and monitor less intense indirect relationships without frequent direct involvement with each individual of the social group.

The family of a child with chronic illness and its social relationships

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
M H N Souza ◽  
T J Santos ◽  
R N Vasconcellos ◽  
M M Costa ◽  
A S Lira ◽  
...  
Keyword(s):  
Social Network ◽  
Chronic Illness ◽  
Self Care ◽  
Public Health Problem ◽  
Health Protection ◽  
Major Public Health Problem ◽  
Research Committee ◽  
The Social ◽  
The Family ◽  
The Relationship

Abstract Introduction The family life of a child with chronic illness is marked by several determinants and demands for care. Within that context, the greater the support received, the greater the resources available to face vulnerability, and to respond positively to guidance and care. Objectives describing the social network of families of children with chronic illness, and understanding the meaning of the relationship of the family caregiver with the members of his/her social network. Methods Qualitative research with nineteen relatives of children with chronic diseases at a rehabilitation center in the city of Rio de Janeiro, Brazil. The theoretical framework of Sanicola's social network was used. Data were collected in November 2019 by semi-structured interviews and analyzed using the content analysis technique. The research was approved by the Ethics and Research Committee of the participating institutions. The social network map showed the presence of few members and mothers as the main caregivers. The main problems among children were: autism, Down syndrome, cognitive disorders and cerebral palsy. Among the most involved people with the caregivers, friends, sisters and grandparents stood out as the ones who offered material, financial and emotional support. Rehabilitation unit support (secondary level) and dissatisfaction with the primary health unit were mentioned. Conclusions The social network of children with chronic illness is a small family network marked by social vulnerability and the female gender as responsible for care. It is noteworthy that the weakness in the relationship with health professionals at primary care level can compromise care continuity. Therefore, it is recommended to professionals to know the social network of the clientele served, as well as interacting and strengthening this network in order to provide more effective actions for health protection, rehabilitation and supported self-care strategies. Key messages Chronic childhood disease is a major public health problem. Being aware of social network favors the implementation of more actions toward health protection, rehabilitation and supported self-care strategies.

Application of Computer System in the Study of Sociology

2014 ◽  
Vol 926-930 ◽  
pp. 1680-1683
Author(s):  
Ying Ming Xu ◽  
Shu Juan Jin
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Computer Algorithms ◽  
Useful Knowledge ◽  
Social Network Data ◽  
Analysis Task ◽  
Original Analysis ◽  
The Social ◽  
The Relationship

With the development of information technology, more and more data about social to be collected. If we can analyze them effectively, it will help people to understand sociological understanding, promoting the development of social science. But the increasing amount of data and analysis to put forward a huge challenge. Now the social networks have already surpassed the processing ability of the original analysis means, must use a more effective tool to complete the analysis task. The computer as a way of helping people from massive data to find the potential useful knowledge tools, play an important role in many fields. Social network analysis, also known as link mining, refers to the handling of the relationship between social network data in the computer method. In this paper, the methods of computer and the social network analysis was introduced in this paper and the computer algorithms are summarized in the application of social network analysis.

scholarly journals Linking Parasitism to Network Centrality and the Impact of Sampling Bias in its Interpretation

2021 ◽  
Author(s):  
Zhihong XU ◽  
Andrew J.J MacIntosh ◽  
Alba Castellano-Navarro ◽  
Emilo Macanas-Martuinez ◽  
Takafumi Suzumura ◽  
...  
Keyword(s):  
Social Network ◽  
Infection Intensity ◽  
Sampling Bias ◽  
Japanese Macaques ◽  
Parasite Infection ◽  
Network Centrality ◽  
The Social ◽  
Social Network Centrality ◽  
The Impact ◽  
The Relationship

Group living is beneficial for individuals, but also comes with costs. One such cost is the increased possibility of pathogen transmission, because increased numbers or frequencies of social contacts is often associated with increased parasite abundance or diversity. The social structure of a group or population has been shown to be paramount to patterns of infection and transmission. Yet, for various reasons, studies investigating the social transmission of parasites in animals, and especially in primates, have only taken into account parts of the group (e.g., only adults or even only adult females), which is likely to impact the interpretation of any results linking sociality and parasitism. Here, we investigated the relationship between social network centrality and an estimate of gastrointestinal helminth infection intensity in a complete group of Japanese macaques (Macaca fuscata). We then tested the impact of missing parts of the group on this relationship. We aimed to test: (1) whether social network centrality - the number of partners (degree), frequency of interactions (strength) and level of social integration (eigenvector) - was linked to parasite infection intensity; and, (2) to what extent excluding all or portions of individuals within the group from the analyses might influence the observed relationship. We conducted social network analysis on data collected from one complete group of Japanese macaques over two months on Koshima Island, Japan, to relate metrics of network centrality to an index of parasite infection intensity (eggs per gram of feces: EPG). We then ran a series of knock-out simulations to test the effect(s) of accounting only for certain age-sex classes on the observed relationship. General linear mixed models showed that, in the complete network, centrality was positively associated with infection by the examined geohelminths (Oesophagostomum aculeatum, Trichuris trichiura and Strongyloides fuelleborni), but in partial networks with only adult females, only juveniles, or random subsets of the group, the strength of this relationship - albeit still positive - lost statistical significance. Our study indicates that sampling bias can impact the relationship that is observed between social interaction and parasitism. In addition to supporting earlier results linking geohelminths to Japanese macaque social networks, this work introduces important methodological considerations for research into the dynamics of social transmission, with applications to infectious disease epidemiology, population management, and health interventions.

scholarly journals SOCIAL MEDIA AND PROTESTS ENGAGEMENT: WHAT’S GENDER GOT TO DO WITH IT?

2020 ◽  
Vol 11 (10) ◽  
pp. 22-31
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Herd Behavior ◽  
Path Modeling ◽  
The Social ◽  
Political Protests ◽  
The Relationship ◽  
Collective Activism ◽  
Positive Effect

Social media allows people to organize themselves and take action against social injustices and policies. Used to spread information, social media has been linked to the dissemination of political protests around the world. Relying on the Theory of Planned Behavior and Herd Behavior, this studied aimed at identifying gender differences in social network protests’ participation. Making use of multivariate data analysis through Partial Least Squares Path Modeling (PLS-SEM), 318 Brazilians responded the study and the results indicate that there are differences between the relationships of the antecedents of the use of the social network between users of different genders. The differences are in the relationship between the attitude and the use of social networks to participate in protests, with a positive effect on men and negative on women. This means that men understand that participating in online protests through social networks can improve awareness of events, giving strength to the movement and helping to ease the tension of protests, while women do not. The results go beyond the studies on which they were based, including the gender multigroup analysis and presenting a new model of technology adoption with new elements, such as the herd behaviour, embracing the imitation, and the uncertainty constructs. There is also a contribution to a greater understanding of the influence of social media on collective activism or movements.

scholarly journals Social Network and Healthy Ageing among Elderly in Helping Hearts Old Age Home, Coimbatore

2019 ◽  
Vol 8 (12S) ◽  
pp. 571-576
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Participation ◽  
Meaning In Life ◽  
Well Being ◽  
The Elderly ◽  
Healthy Ageing ◽  
The Social ◽  
The Relationship

In the current times, the research cites that elderly definitely need social networks to aid in their mental and physical well being. The previous researches have indicated familyfocused, friend-focused, and restricted types as the types of social networks available. Social network include social interaction and social communication. It is the need of the hour to study about the social network of the elderly population because many of them are left with nobody and loneliness is one of the important factor not to mention about desertion by their loved ones since they are no longer productive individuals. The heterogeneity of social networks is pathway to successful and healthy ageing. Healthy ageing is about using opportunities so that they can have social participation and lead a good quality of life. Elderly need not be burdensome individuals in the society instead they can be involved in lot of activities which contribute to them ageing gracefully. The research studies state that rural elderly have more chances of social participation that they find more meaning in life which is a contributing factor for healthy ageing. The present study aims to find out the relationship between social network and healthy ageing.

Political management of emigration from Bangladesh in the framework of a social network theory

Upravlenie ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 123-132
Author(s):  
Shahanaz Parven
Keyword(s):  
Social Network ◽  
International Migration ◽  
Network Theory ◽  
Social Network Theory ◽  
The Social ◽  
Political Management ◽  
The Subject ◽  
Migration Flows ◽  
The Government ◽  
The Relationship

The subject of the study is the social network theory for the management of international migration. The theory suggests that migration from the society of origin to the hosting society can occur if links exist between these two societies, and that the flow of migrants follows the established links. The theoretical prediction which one can make is that, if the political administration wishes to establish a flow of migrants between any two societies, a link between these two societies must be established first. The author tested the theory on the case of managing the emigration of workers by the government of Bangladesh. The paper found that, firstly, the links between the origin society and the host society were created artificially, however, in contrast to the theoretical forecast, the author observed that such links usually do not correspond to the geographical distribution of maximum proximity to origin or destination society. Instead, the study revealed, that the closeness of communication between two societies is generated by the proximity between political administrations of the same societies, which contradicts the theoretical expectations. In this regard, the author proposed to expand the theory of international migration in the social network, suggesting that the proximity between two political administrations, and not between two societies as a whole, is a condition necessary for international migration. This, in turn, allows us to fill a theoretical gap that is associated with the relationship between social network theory and the management of international migration. The paper concludes that it is possible to generate arbitrary migration flows, creating appropriate links between any two societies.

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