非专家对个人网络数据结构的识别。
Non-experts' Recognition of Structure in Personal Network Data.
作者信息
Kennedy David P, Green Harold D, McCarty Christopher, Tucker Joan
机构信息
RAND Corporation.
出版信息
Field methods. 2011 Aug;23(3):287-206. doi: 10.1177/1525822X11399702.
Abstract
Network-based interventions are gaining prominence in the treatment of chronic illnesses; however, little is known about what aspects of network structure are easily identified by non-experts when shown network visualizations. This study examines which structural features are recognizable by non-experts. Nineteen non-experts were asked to pile-sort 68 network diagrams. Results were analyzed using multidimensional scaling, discriminant analysis, cluster analysis, and PROFIT analysis. Participants tended to sort networks along the dimensions of isolates and size of largest component, suggesting that interventions aimed at helping individuals understand and change their social environments could benefit from incorporating visualizations of social networks.
摘要
基于网络的干预措施在慢性病治疗中日益突出；然而，当向非专业人士展示网络可视化时，对于网络结构的哪些方面容易被他们识别却知之甚少。本研究考察了非专业人士能够识别哪些结构特征。19名非专业人士被要求对68个网络图进行堆排序。使用多维缩放、判别分析、聚类分析和PROFIT分析对结果进行分析。参与者倾向于根据孤立节点和最大组件大小的维度对网络进行排序，这表明旨在帮助个人理解和改变其社会环境的干预措施可能会受益于纳入社交网络的可视化。
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1
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Hum Organ. 2009 Jan 1;68(2):129-140. doi: 10.17730/humo.68.2.m23375u1kn033518.
2
USING SOCIAL NETWORK INTERVENTIONS TO IMPROVE MENTALLY ILL CLIENTS' WELL-BEING.运用社交网络干预措施改善精神病患者的健康状况。
Clin Soc Work J. 2006 Mar 1;34(1):83. doi: 10.1007/s10615-005-0005-5.
3
Network analysis in the social sciences.社会科学中的网络分析。
Science. 2009 Feb 13;323(5916):892-5. doi: 10.1126/science.1165821.
4
Dynamic spread of happiness in a large social network: longitudinal analysis over 20 years in the Framingham Heart Study.幸福在大型社交网络中的动态传播：弗雷明汉心脏研究20年纵向分析
BMJ. 2008 Dec 4;337:a2338. doi: 10.1136/bmj.a2338.
5
The collective dynamics of smoking in a large social network.大型社交网络中吸烟行为的集体动态。
N Engl J Med. 2008 May 22;358(21):2249-58. doi: 10.1056/NEJMsa0706154.
6
Interactive use of genograms and ecomaps in family caregiving research.在家庭护理研究中系谱图和生态图的交互使用。
J Fam Nurs. 2007 Nov;13(4):403-19. doi: 10.1177/1074840707307917.
7
The spread of obesity in a large social network over 32 years.32年间肥胖症在一个大型社交网络中的传播情况。
N Engl J Med. 2007 Jul 26;357(4):370-9. doi: 10.1056/NEJMsa066082. Epub 2007 Jul 25.
8
Diffusion of innovations and network segmentation: the part played by people in promoting health.创新的传播与网络细分：人们在促进健康中所起的作用。
Sex Transm Dis. 2006 Jul;33(7 Suppl):S23-31. doi: 10.1097/01.olq.0000221018.32533.6d.
9
The dynamics of injection drug users' personal networks and HIV risk behaviors.注射吸毒者个人社交网络的动态变化与艾滋病病毒风险行为
Addiction. 2006 Jul;101(7):1003-13. doi: 10.1111/j.1360-0443.2006.01431.x.
10
Social networks and collateral health effects.社交网络与附带的健康影响。
BMJ. 2004 Jul 24;329(7459):184-5. doi: 10.1136/bmj.329.7459.184.
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