A Study on the Individual and Institutional Divergence in Social Trust Building: Dynamic Network Approach to Exploring Measurements for Social Trust

2019 ◽  
Vol 31 (4) ◽  
pp. 671-690
Author(s):  
Chang-Gyu Kwak
Keyword(s):  
Social Trust ◽  
Dynamic Network ◽  
Trust Building ◽  
Network Approach ◽  
The Individual

scholarly journals General psychopathology links burden of recent life events and psychotic symptoms in a network approach

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Linda T. Betz ◽  
◽  
Nora Penzel ◽  
Lana Kambeitz-Ilankovic ◽  
Marlene Rosen ◽  
...  
Keyword(s):  
Life Events ◽  
Childhood Trauma ◽  
Negative Symptoms ◽  
Psychotic Symptoms ◽  
Network Approach ◽  
General Psychopathology ◽  
Recent Onset ◽  
Syndrome Scale ◽  
Before And After ◽  
The Individual

AbstractRecent life events have been implicated in the onset and progression of psychosis. However, psychological processes that account for the association are yet to be fully understood. Using a network approach, we aimed to identify pathways linking recent life events and symptoms observed in psychosis. Based on previous literature, we hypothesized that general symptoms would mediate between recent life events and psychotic symptoms. We analyzed baseline data of patients at clinical high risk for psychosis and with recent-onset psychosis (n = 547) from the Personalised Prognostic Tools for Early Psychosis Management (PRONIA) study. In a network analysis, we modeled links between the burden of recent life events and all individual symptoms of the Positive and Negative Syndrome Scale before and after controlling for childhood trauma. To investigate the longitudinal associations between burden of recent life events and symptoms, we analyzed multiwave panel data from seven timepoints up to month 18. Corroborating our hypothesis, burden of recent life events was connected to positive and negative symptoms through general psychopathology, specifically depression, guilt feelings, anxiety and tension, even after controlling for childhood trauma. Longitudinal modeling indicated that on average, burden of recent life events preceded general psychopathology in the individual. In line with the theory of an affective pathway to psychosis, recent life events may lead to psychotic symptoms via heightened emotional distress. Life events may be one driving force of unspecific, general psychopathology described as characteristic of early phases of the psychosis spectrum, offering promising avenues for interventions.

Social trust, norms and morality

Human Affairs ◽  
2013 ◽  
Vol 23 (3) ◽  
Author(s):  
Miroslav Popper
Keyword(s):  
Social Capital ◽  
Political Institutions ◽  
Social Trust ◽  
Local Level ◽  
Dynamic Change ◽  
Short Term ◽  
Legal Norms ◽  
Increased Sensitivity ◽  
The Individual

AbstractThe article approaches the topic of social trust from an evolutionary perspective. It begins by summarising the most influential approaches that have defined specific and social trust and ascertains what causes differences in degrees of trust and how the potential risk of deception might be lowered. It then notes that the basis of morality had already been formed during the era of prehistoric man, who was able to create coalitions against aggressors and to socially control the behaviour of deviants. It points out, however, that having a certain predisposition to behaving cooperatively or an increased sensitivity to recognising and not tolerating behaviour aimed at abusing cooperation is not a sufficient guarantee of the fact that people will always (or at least in the majority of situations) favour cooperation over deception. One of the reasons for this is a tendency to favour short-term gains over long-term ones. The article argues that establishing norms (moral, social and legal) produces a higher level of social trust because it not only “encourages” individuals to behave in certain ways in particular situations but also works as a sanction which “discourages” the individual from socially deviant behaviour. The article then focuses on a debate about the causal relationship between social trust and social capital. It discusses the suggestion that political institutions, government and the judiciary may reduce rather than raise levels of social capital and consequently also the level of social trust. This is partly because of their powerful position and the consequent scope for corruption and partly because of the fact that even when attempting to act honestly, representatives of these institutions cannot sufficiently reflect upon dynamic change at the local level. Finally, the article ends by adopting the position that social trust is built primarily from bottom up and so it is risky to continually doubt the very existence and usefulness of social norms and morality and to be governed simply by legal norms.

scholarly journals Emerging, crystalizing, and changing psychological contracts over time: Introducing the iPC-network model

2019 ◽  
Author(s):  
Tim Vantilborgh
Keyword(s):  
Network Model ◽  
Psychological Contract ◽  
Dynamic Network ◽  
Network Models ◽  
Psychological Contracts ◽  
Exchange Relationships ◽  
Contract Breach ◽  
Alternative Approach ◽  
The Individual ◽  
Over Time

This chapter introduces the individual Psychological Contract (iPC) network model as an alternative approach to study psychological contracts. This model departs from the basic idea that a psychological contract forms a mental schema containing obligated inducements and contributions, which are exchanged for each other. This mental schema is captured by a dynamic network, in which the nodes represent the inducements and contributions and the ties represent the exchanges. Building on dynamic systems theory, I propose that these networks evolve over time towards attractor states, both at the level of the network structure and at the level of the nodes (i.e., breach and fulfilment attractor states). I highlight how the iPC-network model integrates recent theoretical developments in the psychological contract literature and explain how it may advance scholars understanding of exchange relationships. In particular, I illustrate how iPC-network models allow researchers to study the actual exchanges in the psychological contract over time, while acknowledging its idiosyncratic nature. This would allow for more precise predictions of psychological contract breach and fulfilment consequences and explains how content and process of the psychological contract continuously influence each other.

scholarly journals Does your neighborhood protect you from being depressed? A study on social trust and depression in Indonesia

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Mohamad Fahmi ◽  
Nur Afni Panjaitan ◽  
Ibnu Habibie ◽  
Adiatma Y. M. Siregar ◽  
Gilang Amarullah ◽  
...  
Keyword(s):  
Social Trust ◽  
Depression Scale ◽  
Severe Depression ◽  
Total Sample ◽  
Epidemiologic Studies ◽  
Depression Symptoms ◽  
Multilevel Regression ◽  
Individual Level ◽  
Prevalence Of Depression ◽  
The Individual

Abstract Background Prevalence of depression in Indonesia is estimated at about 3.7% of the total population, although the actual may be higher. Studies worldwide have linked the environment where people live to their mental health status. However, little research is found in Indonesia regarding this link. We examined the association between individuals’ perception towards their neighborhood and their depression symptoms. Methods Social trust was measured at the individual (level 1) and community (level 2) levels based on the Indonesian Family Life Survey 5 (IFLS5) in 2014. Depression was measured using the 10-item Center for Epidemiologic Studies-Depression Scale Revised (CESD-R-10) and the scores were transformed into logit form using the Rasch model. Multilevel regression was used to determine correlations. Results Of the total sample of 14,227 respondents in this study, about 19.4% had experienced severe depression symptoms in the past week. Social trust was found to be significantly associated with severe depression symptoms. The weaker the individuals’ social trust towards their neighbourhood, the higher the probability of experiencing severe depression symptoms would be. Conclusions This study shows that social trust is associated with the severity of depression symptoms: the higher the social trust, the lower the probability of having severe depression symptoms is. Depression symptoms may also be attributed to significant differences between communities.

Social Trust and Public Opinion about Territorial Disputes: Evidence from a Survey in India

2019 ◽  
Vol 5 (4) ◽  
pp. 617-633
Author(s):  
Florian Justwan ◽  
Sarah Fisher
Keyword(s):  
Public Opinion ◽  
Social Trust ◽  
Character Trait ◽  
Territorial Disputes ◽  
Territorial Dispute ◽  
Arunachal Pradesh ◽  
Individual Level ◽  
The Individual ◽  
The Impact ◽  
South Tibet

Abstract This article explores the sources of public opinion about territorial disputes. Specifically, it investigates the impact of one particular character trait—social trust—on the policy preferences of Indian citizens in the context of the Sino-Indian dispute over Arunachal Pradesh/South Tibet. We argue that social trust shapes how a citizen thinks about a given territorial dispute and influences which policy options this individual favors in response to another country's claim. Our empirical analysis is based on original survey data collected in the National Capital Territory of Delhi (NCT) in January/February 2017. In line with our theoretical expectations, we find that high-trust individuals are: (1) more likely to regard China's claim to Arunachal Pradesh/South Tibet as legitimate; (2) more willing to favor the onset of conflict management; and (3) more supportive of concessions. This article therefore adds to a growing literature examining the individual-level determinants of public opinion in territorial disputes.

scholarly journals A Dynamic Network Approach to the Study of Syntax

2020 ◽  
Vol 11 ◽  
Author(s):  
Holger Diessel
Keyword(s):  
Argument Structure ◽  
Language Use ◽  
Language Change ◽  
Model Building ◽  
Large Body ◽  
Dynamic Network ◽  
Linguistic Knowledge ◽  
Network Approach ◽  
Linguistic Structure ◽  
Network Analyses

Usage-based linguists and psychologists have produced a large body of empirical results suggesting that linguistic structure is derived from language use. However, while researchers agree that these results characterize grammar as an emergent phenomenon, there is no consensus among usage-based scholars as to how the various results can be explained and integrated into an explicit theory or model. Building on network theory, the current paper outlines a structured network approach to the study of grammar in which the core concepts of syntax are analyzed by a set of relations that specify associations between different aspects of a speaker’s linguistic knowledge. These associations are shaped by domain-general processes that can give rise to new structures and meanings in language acquisition and language change. Combining research from linguistics and psychology, the paper proposes specific network analyses for the following phenomena: argument structure, word classes, constituent structure, constructions and construction families, and grammatical categories such as voice, case and number. The article builds on data and analyses presented in Diessel (2019; The Grammar Network. How Linguistic Structure is Shaped by Language Use) but approaches the topic from a different perspective.

scholarly journals Patterns of Trust and Subjective Well-Being Across Europe: New Insights from Repeated Cross-Sectional Analyses Based on the European Social Survey 2002–2016

2019 ◽  
Vol 148 (2) ◽  
pp. 417-439 ◽  
Author(s):  
Christoph Glatz ◽  
Anja Eder
Keyword(s):  
Social Trust ◽  
Well Being ◽  
European Social Survey ◽  
Institutional Trust ◽  
Subjective Well Being ◽  
Aggregate Level ◽  
Cross Sectional ◽  
Social Survey ◽  
The Individual ◽  
Positive Effect

Abstract This paper offers elaborate analyses regarding the effects of social- as well as institutional trust as parts of social capital on subjective well-being (SWB) by using data from the European Social Survey, including 36 countries and eight time-points between 2002 and 2016. We analyze (1) The development of trust and SWB on the aggregate level; (2) The effect of trust on SWB on the individual cross-sectional level; and (3) The longitudinal and cross-sectional effect of trust on SWB on the aggregate level while considering control variables based on previous research. We observe a weak positive trend regarding social trust as well as SWB over time, but no significant change in institutional trust. However, trends are far from homogeneous across countries. In accordance to previous studies, we find a positive effect of social trust on SWB. This effect holds on the individual cross-sectional level for every participating country, but also on the longitudinal level. In view of institutional trust, we see a positive effect on SWB on the individual and aggregate cross-sectional level, but not over time. Thus, this study particularly sheds new light on this relation, indicating that it´s cross-sectional relation is due to confounding variables. Moreover, we observe no relation between economic growth and SWB after controlling for unemployment, but a positive effect of decreasing unemployment and inflation on SWB. Our data suggests that establishing an environment with high social trust across Europe would be rewarded with a happy society.

Regional housing price dependency in the UK: A dynamic network approach

Urban Studies ◽  
2020 ◽  
pp. 004209802094348
Author(s):  
Dayong Zhang ◽  
Qiang Ji ◽  
Wan-Li Zhao ◽  
Nicholas J Horsewood
Keyword(s):  
Housing Market ◽  
House Prices ◽  
House Price ◽  
Housing Price ◽  
Dynamic Network ◽  
Network Approach ◽  
Market Interactions ◽  
Partial Correlations ◽  
Regional Housing Market ◽  
The Uk

The cross-regional dependency in the UK housing market is analysed using regional house price indices. In this article, a network approach based on partial correlations is proposed, along with rolling-window analysis to consider potential time-varying dependency. The results show that house prices in the outer South East region have the strongest influence on regional housing market interactions in the UK. This influence is stronger when the markets are highly interconnected, whereas the house prices in London have the strongest influence when the UK regional housing markets are relatively less connected.

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