社区体育活动计划产生的社会凝聚力:时间网络分析。

IF 1.4 Q2 SOCIAL SCIENCES, INTERDISCIPLINARY
Network Science Pub Date : 2021-03-01 Epub Date: 2020-08-06 DOI:10.1017/nws.2020.31
Ana María Jaramillo, Felipe Montes, Olga Lucía Sarmiento, Ana Paola Ríos, Lisa G Rosas, Ruth Hunter, Ana Lucía Rodríguez, Abby C King
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引用次数: 0

摘要

以社区为基础的体育活动计划,如 Recreovía 计划,在拉丁美洲有效地促进了健康行为。为了了解 Recreovías 所面临的挑战和可扩展性,我们在研究参与者的社会凝聚力和互动的同时,对其社会网络进行了纵向描述。首先,我们构建了该计划 2013 年 Facebook 个人资料的主网络,以确定参与者的主要利益相关者和社区。其次,我们研究了 2008 年至 2016 年 Recreovía 三个地点的 Facebook 个人资料的时间网络增长情况。我们采用了网络中的时间窗口算法来确定观察期,并采用城市增长的缩放模型来衡量随时间变化的社会凝聚力。我们的结果显示,体育活动指导员是主要的利益相关者(占网络节点的 20.84%)。在新兴凝聚力方面,我们发现:(1) Facebook 用户(43-272 个节点)、友谊关系(55-2565 条边)、聚类系数(0.19-0.21)和密度(0.04-0.07)的递增;(2) 没有偏好依附行为;(3) 社会凝聚力超线性增长,每个加入用户新增 1.73 个友谊关系。我们的结果强调了体育锻炼指导员的影响力和创新时期出现的凝聚力,这也是该项目带来的共同收益。这项分析以系统方法将在自然环境中开展的项目的社会维度和健康行为维度联系起来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Social cohesion emerging from a community-based physical activity program: A temporal network analysis.

Social cohesion emerging from a community-based physical activity program: A temporal network analysis.

Social cohesion emerging from a community-based physical activity program: A temporal network analysis.

Social cohesion emerging from a community-based physical activity program: A temporal network analysis.

Community-based physical activity programs, such as the Recreovía, are effective in promoting healthy behaviors in Latin America. To understand Recreovías' challenges and scalability, we characterized its social network longitudinally while studying its participants' social cohesion and interactions. First, we constructed the Main network of the program's Facebook profile in 2013 to determine the main stakeholders and communities of participants. Second, we studied the Temporal network growth of the Facebook profiles of three Recreovía locations from 2008 to 2016. We implemented a Time Windows in Networks algorithm to determine observation periods and a scaling model of cities' growth to measure social cohesion over time. Our results show physical activity instructors as the main stakeholders (20.84% nodes of the network). As emerging cohesion, we found: (1) incremental growth of Facebook users (43-272 nodes), friendships (55-2565 edges), clustering coefficient (0.19-0.21), and density (0.04-0.07); (2) no preferential attachment behavior; and (3) a social cohesion super-linear growth with 1.73 new friendships per joined user. Our results underscore the physical activity instructors' influence and the emergent cohesion in innovation periods as a co-benefit of the program. This analysis associates the social and healthy behavior dimensions of a program occurring in natural environments under a systemic approach.

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来源期刊
Network Science
Network Science SOCIAL SCIENCES, INTERDISCIPLINARY-
CiteScore
3.50
自引率
5.90%
发文量
24
期刊介绍: Network Science is an important journal for an important discipline - one using the network paradigm, focusing on actors and relational linkages, to inform research, methodology, and applications from many fields across the natural, social, engineering and informational sciences. Given growing understanding of the interconnectedness and globalization of the world, network methods are an increasingly recognized way to research aspects of modern society along with the individuals, organizations, and other actors within it. The discipline is ready for a comprehensive journal, open to papers from all relevant areas. Network Science is a defining work, shaping this discipline. The journal welcomes contributions from researchers in all areas working on network theory, methods, and data.
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