Exploring Social Care Network Structures

Author:

Fernandez JasmineORCID,Bonnett MichaelaORCID,Garstka TeriORCID,Kennedy MeaghanORCID

Abstract

This research is grounded in the theory that scale-free networks form between many organizations in a community when coordinating social care services and influential hubs in the network emerge (Barabási & Réka, 1999).We explore the variability in the structures of social care networks, focusing on how the diverse needs of community members and the array of providers influence these structures. We posit that the architecture of these networks may hold the key to discerning patterns in community health and social outcomes. Our study examines the resilience of social care networks, defining them as systems designed to enhance interactions among all nodes to meet diverse community needs. We discuss community as a network and community resilience as a process, introducing three key properties—scale-free, small world, and hubness/information spreading scores, for understanding network resilience. We analyzed 20 social care networks, which have been active over an 18-month period using the referral technology tool to send and receive service referrals, providing raw interaction data among organizational nodes. We focused on two primary objectives: 1) Social care networks are more likely to exhibit scale-free properties and contain influential hubs; and 2) There is significant variability among social care networks in terms of scale-free properties and centrality measures. Using the three properties—small world, scale-free, and hubness/information spreading scores—we classified the 20 social care networks into different structural profiles. We analyzed node,edge radius, diameter, to understand the network structure characteristics. Our findings highlighted four distinct network structures, which we ranked from most to least resilient. We discussed the implications of these structures on community-level outcomes, including the potential centralized vulnerability when hubs and information spreaders overlap, creating efficiency during normal operations but also increasing vulnerability to disruptions. Our findings offer insights into the emergent properties of complex systems, particularly in networks intentionally designed to enhance resilience and meet diverse community needs. We conclude by discussing the variability in centrality and structural metrics within the identified groups and propose future research directions to explore the long-term impact of these network structures.

Publisher

Orange Sparkle Ball

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3