54,475 research outputs found

    A generalised significance test for individual communities in networks

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    Many empirical networks have community structure, in which nodes are densely interconnected within each community (i.e., a group of nodes) and sparsely across different communities. Like other local and meso-scale structure of networks, communities are generally heterogeneous in various aspects such as the size, density of edges, connectivity to other communities and significance. In the present study, we propose a method to statistically test the significance of individual communities in a given network. Compared to the previous methods, the present algorithm is unique in that it accepts different community-detection algorithms and the corresponding quality function for single communities. The present method requires that a quality of each community can be quantified and that community detection is performed as optimisation of such a quality function summed over the communities. Various community detection algorithms including modularity maximisation and graph partitioning meet this criterion. Our method estimates a distribution of the quality function for randomised networks to calculate a likelihood of each community in the given network. We illustrate our algorithm by synthetic and empirical networks.Comment: 20 pages, 4 figures and 4 table

    Psychiatric morbidity and social capital in rural communities of the Greek North Aegean islands

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    Which facets of social capital affect mental health in rural settings? This study explores the association between different aspects of social capital and psychiatric morbidity in rural communities of the Greek North Aegean islands. A large number of individual and community characteristics which may influence psychiatric morbidity are concurrently examined in multilevel models to account for the clustering of individuals within rural settings. The current findings indicate that psychiatric morbidity is to a large extent clustered within rural communities. Individuals’ perceived divisions in the community, i.e., political party preference, landholdings etc., low social support networks and lack of perceived solidarity are associated with psychiatric morbidity according to theoretical expectation. At the community level this risk is lower in villages with over 250 residents, where there are youth clubs or a common threat, for instance, property crime

    Social capital at work How family, friends and civic ties relate to labour market outcomes

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    This paper investigates the extent to which an individual's 'stock' of social capital relates to labour force outcomes, over and above more well established determinants. In particular, it examines how family and kinship networks, friends and neighbours relate to individual labour market outcomes, compared with the role of civic ties and institutional networks. Using data collected from a national random sample of 1500 Australians, the paper investigates the relative impact of trust, bonding, bridging and linking relationships upon labour force status and successful job search method.

    Growth aspirations and social capital: Young firms in a post-conflict environnment

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    We explore the social determinants of growth aspirations of young firms’ owners and managers in a post-conflict economy. We focus on social capital, which we treat as a multi-dimensional phenomenon, studying not only the effect of owners’ and managers’ personal networks on growth aspirations, but also other facets that facilitate cooperation such as trust in institutions and generalised trust in people. We posit that that the generalised trust amplifies the beneficial effects of personal business networks, explaining how this conclusion diverges from earlier literature. We argue that in a post-conflict country, preservation of ethnic diversity is indicative of tolerance and low communication barriers and social capital appropriable for entrepreneurship. Our empirical counterpart and hypotheses testing rely on survey of young businesses in Bosnia and Herzegovina

    Social capital: a road map of theoretical frameworks and empirical limitations

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    The general idea of social capital is that relationships matter. In this sense, trust, cooperation and reciprocity involved in these relationships can have a positive impact on the wealth of the society by reducing transaction costs, facilitating collective actions and lowering opportunistic behaviour. This work sheds light on the different theoretical and empirical problems that a scholar is likely to face in dealing with social capital research and analysis. We propose a critical road map of the social capital theories and applications for a general audience, non-users included, with particular attention to the works of political and social economists. We provide a critical debate on the different definitions and measures produced, the theoretical frameworks developed and the empirical techniques adopted so far in the analysis of the impact of social capital on socio-economic outcomes. We stress on the limitations of these techniques and we suggest some basic strategies to reduce the magnitude of these limitations

    Social capital, rules, and institutions: A cross-country investigation

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    Research on the institutional foundations of economic development emphasizes either rulebound systems of exchange or informal bonds between individuals and within small groups. This corresponds to a classical division in social science, between the forces of society and those of community. This cleavage largely ignores their interactions, which are likely to shape the institutions that underpin economic development in decisive ways. This paper operationalises and tests how the interaction of the forces of community (or social capital) and society (or rules) impact three types of institutions: those involved in problem solving, those that shape microeconomic efficiency and those that influence social policy, across fiftyeight countries. We find that both community and society are important determinants across all institutional domains, and are in many cases mutually reinforcing, but that different specific aspects of community and society are most relevant to different institutional domains. Instrumental associationalism, whether formal or informal, and a robust rules environment are the most important determinants of positive institutional outcomes.

    Social disorganization and history of child sexual abuse against girls in sub-Saharan Africa : a multilevel analysis

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    Background: Child sexual abuse (CSA) is a considerable public health problem. Less focus has been paid to the role of community level factors associated with CSA. The aim of this study was to examine the association between neighbourhood-level measures of social disorganization and CSA. Methods: We applied multiple multilevel logistic regression analysis on Demographic and Health Survey data for 6,351 adolescents from six countries in sub-Saharan Africa between 2006 and 2008. Results: The percentage of adolescents that had experienced CSA ranged from 1.04% to 5.84%. There was a significant variation in the odds of reporting CSA across the communities, suggesting 18% of the variation in CSA could be attributed to community level factors. Respondents currently employed were more likely to have reported CSA than those who were unemployed (odds ratio [OR] = 2.05, 95% confidence interval [CI] 1.48 to 2.83). Respondents from communities with a high family disruption rate were 57% more likely to have reported CSA (OR=1.57, 95% CI 1.14 to 2.16). Conclusion: We found that exposure to CSA was associated with high community level of family disruption, thus suggesting that neighbourhoods may indeed have significant important effects on exposure to CSA. Further studies are needed to explore pathways that connect the individual and neighbourhood levels, that is, means through which deleterious neighbourhood effects are transmitted to individuals

    What is Strategic Competence and Does it Matter? Exposition of the Concept and a Research Agenda

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    Drawing on a range of theoretical and empirical insights from strategic management and the cognitive and organizational sciences, we argue that strategic competence constitutes the ability of organizations and the individuals who operate within them to work within their cognitive limitations in such a way that they are able to maintain an appropriate level of responsiveness to the contingencies confronting them. Using the language of the resource based view of the firm, we argue that this meta-level competence represents a confluence of individual and organizational characteristics, suitably configured to enable the detection of those weak signals indicative of the need for change and to act accordingly, thereby minimising the dangers of cognitive bias and cognitive inertia. In an era of unprecedented informational burdens and instability, we argue that this competence is central to the longer-term survival and well being of the organization. We conclude with a consideration of the major scientific challenges that lie ahead, if the ideas contained within this paper are to be validated
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