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首页> 外文期刊>Journal of studies on alcohol >Applications of small-world network theory in alcohol epidemiology.
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Applications of small-world network theory in alcohol epidemiology.

机译：小世界网络理论在酒精流行病学中的应用。

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OBJECTIVE: This study develops a mathematical model of alcohol abuse in structured populations, such as communities and college campuses. The study employs a network model that has the capacity to incorporate a variety of forms of connectivity membership besides personal acquaintance, such as geographic proximity and common organizations. The model also incorporates a resilience dimension that indicates the susceptibility of each individual in a network to alcohol abuse. The model has the capacity to simulate the effect of moving alcohol abusers into networks of nonabusers, either as the result of treatment or membership in self-help organizations. METHOD: The study employs a small-world model. A cubic equation for each person (vertex on a graph) governs the evolution of an individual's state between 0 and 1 with regard to alcohol dependence, with 1 indicating absolute certainty of alcohol dependence. The simulations are dependent on initial conditions, the structure of the network, and the resilience distribution of the network. The simulations incorporate multiple realizations of social networks, showing the effect of different network structures. RESULTS: The model suggests that the prevalence of alcohol abuse can be minimized by treating a relatively small percentage of the study population. In the small populations that we studied, the critical point was 10% or less of the study population, but we emphasize that this is within the limitations and assumptions of this model. CONCLUSIONS: The use of a simple model that incorporates the influence of the social network neighbors in structured populations shows promise for helping to inform treatment and prevention policy.
机译：目的：本研究建立了在结构化人群（例如社区和大学校园）中酗酒的数学模型。该研究采用了一种网络模型，该模型具有合并除个人相识之外的各种形式的连接成员资格的能力，例如地理邻近性和常见组织。该模型还包含一个弹性维度，该维度指示网络中每个人对酗酒的敏感性。该模型能够模拟由于治疗或成为自助组织的成员而将酗酒者带入非滥用者网络的效果。方法：本研究采用小世界模型。每个人的立方方程（图中的顶点）控制着酒精依赖在0到1之间变化的状态，其中1表示绝对依赖酒精。模拟取决于初始条件，网络的结构以及网络的弹性分布。这些模拟结合了社交网络的多种实现，显示了不同网络结构的影响。结果：该模型表明，通过治疗相对较小比例的研究人群，可以将酒精滥用的发生率降至最低。在我们研究的小人群中，临界点是研究人群的10％或更少，但是我们强调这在此模型的限制和假设之内。结论：使用一个简单的模型并结合了社交网络邻居在结构化人群中的影响，显示出有望有助于告知治疗和预防政策。

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