Jaramillo Ana María, Montes Felipe, Sarmiento Olga Lucía, Ríos Ana Paola, Rosas Lisa G, Hunter Ruth, Rodríguez Ana Lucía, King Abby C
Department of Industrial Engineering, Social and Health Complexity Center, Universidad de Los Andes, Bogotá, Colombia.
Department of Computer Science, University of Exeter, Exeter, UK.
Netw Sci (Camb Univ Press). 2021 Mar;9(1):35-48. doi: 10.1017/nws.2020.31. Epub 2020 Aug 6.
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.
以社区为基础的体育活动项目,如“休闲大道”,在促进拉丁美洲的健康行为方面很有效。为了解“休闲大道”面临的挑战和可扩展性,我们在研究其参与者的社会凝聚力和互动时,纵向描述了其社会网络。首先,我们在2013年构建了该项目脸书页面的主要网络,以确定主要利益相关者和参与者社区。其次,我们研究了2008年至2016年三个“休闲大道”地点脸书页面的时间网络增长情况。我们实施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利益相关者(占网络节点的20.84%)。作为新出现的凝聚力,我们发现:(1)脸书用户(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)呈递增增长;(2)没有优先连接行为;(3)社会凝聚力呈超线性增长,每个新加入用户有1.73个新的友谊关系。我们的结果强调了体育活动指导员的影响力以及创新时期新出现的凝聚力是该项目的一个共同益处。这种分析以系统的方法将项目在自然环境中发生的社会和健康行为维度联系起来。