32 resultados para counter-terrorism networks


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© 2015 Australian Association of Family Therapy. Increasing numbers of lesbian, gay and bisexual (LGB) adults are entering into parenthood. Previous studies indicate many of these parents receive little or no support from their families of origin due to family members' negative attitudes toward homosexuality. This study looks at the extent to which LGB parents report a lower sense of connectedness to family of origin and friendship networks than heterosexual parents and whether this has an impact on psychological wellbeing in either of these groups. Data were derived from two studies of parents: Work, Love, Play, a study of Australian and New Zealand LGB parents (n=324); and the Longitudinal Study of Australian Children, a population-based study of young children and parents (n=6460). Structural equation modelling was used to explore the relationships between: parent sexuality and family/friendship connectedness, family/friendship connectedness and psychological wellbeing, parent sexuality and psychological wellbeing. LGB parents reported feeling less connected to their families of origin but more connected to their friendship groups than heterosexual parents. Counter to previous studies, we found no difference in the psychological wellbeing of LGB parents compared to heterosexual parents when examining the direct effect of sexuality on psychological wellbeing. Clinical implications for counsellors and family therapists are discussed.

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Large-degree nodes in scale-free networks are normally responsible for large cascades of epidemics. However, recent research shows small-degree nodes can also produce large-scale epidemics in the real world. In this letter, we investigate the relation between local and global influence of individuals in scale-free network in order to theoretically explain this real-world phenomenon. The local influence of an individual corresponds to the node degree, and the global influence of an individual reflects the expected number of individuals directly or indirectly influenced by this individual in epidemics. We formalize the later as the novel epidemic betweenness concept, to mathematically estimate the global influence of individuals. Our analysis shows that the global influence follows power-law distributions in scale-free networks. We also observe that the average global influence of individuals is power-law to the degree of nodes, which well explains the reason why large-degree nodes are more likely to produce large cascades of epidemics. In addition, we discover that some smalldegree nodes also possess large global influence in terms of epidemics betweenness. This well explains the counter-intuitive phenomenon in recent research.