CKM-Physicians-Innovation_Multiplex_Social

This README file accompanies the dataset representing the multiplex social network of a sample of physicians in US. If you use this dataset in your work either for analysis or for visualization, you should acknowledge/cite the following paper: <br> "The Diffusion of an Innovation Among Physicians" J. Coleman, E. Katz, and H. Menzel. Sociometry (1957) 20:253-270. <br> ### Description of the dataset <br> Data collected by Coleman, Katz and Menzel on medical innovation, considering physicians in four towns in Illinois, Peoria, Bloomington, Quincy and Galesburg. <br> They were concerned with the impact of network ties on the physicians' adoption of a new drug, tetracycline. Three sociometric matrices (layers) were generated, based on the following questions: <br> 1. When you need information or advice about questions of therapy where do you usually turn? 2. And who are the three or four physicians with whom you most often find yourself discussing cases or therapy in the course of an ordinary week -- last week for instance? 3. Would you tell me the first names of your three friends whom you see most often socially? <br> There are 246 nodes in total, labelled with integer ID between 1 and 246, with 1551 connections. The multiplex is directed and unweighted, stored as edges list in the file CKM-Physicians-Innovation_multiplex.edges <br> with format <br> layerID nodeID nodeID weight <br> (Note: all weights are set to 1) <br> The IDs of all layers are stored in <br> CKM-Physicians-Innovation_layers.txt <br> The IDs of nodes can be found in the file <br> CKM-Physicians-Innovation_nodes.txt <br> The values for the 14 columns (attributes) are: <br> 1. node id 2. city 3. adoption date 4. med_sch_yr 5. meetings 6. jours 7. free_time 8. discuss 9. clubs 10. friends 11. community 12. patients 13. proximity 14. specialty <br> For the values assigned to each attribute see the original paper. <br> <br> ### License <br> The CKM-PHYSICIANS-INNOVATION MULTIPLEX DATASET is provided "as is" and without warranties as to performance or quality or any other warranties whether expressed or implied. <br> <br>

本README文件配套于一份描述美国医师样本多层社交网络（multiplex social network）的数据集。若您在分析或可视化工作中使用本数据集，请引用以下文献：<br>《医师群体中的创新扩散》（*The Diffusion of an Innovation Among Physicians*），作者J. Coleman、E. Katz与H. Menzel，发表于《社会测量学》（Sociometry）1957年第20卷，页码253-270。<br>### 数据集说明<br>本数据集由Coleman、Katz与Menzel收集，聚焦于伊利诺伊州皮奥里亚（Peoria）、布鲁明顿（Bloomington）、昆西（Quincy）及盖尔斯堡（Galesburg）四座城镇的医师，内容围绕医药创新展开。<br>研究旨在探究社交网络联结对医师采纳新药四环素（tetracycline）的影响。研究基于三类问题生成了三张社会测量矩阵（即多层网络层）：<br>1. 当你需要治疗相关的信息或建议时，通常会向谁求助？<br>2. 在日常工作周（例如上周）中，你最常与之讨论病例或治疗议题的3至4位医师分别是谁？<br>3. 请告知你私下交往最频繁的3位好友的名字。<br>本数据集共包含246个节点，节点以1至246的整数ID标识，总共有1551条联结。该多层有向无权网络以边列表（edges list）形式存储于文件`CKM-Physicians-Innovation_multiplex.edges`中，文件格式为：<br>`layerID nodeID nodeID weight`<br>（注：所有权重均设为1）<br>所有网络层的ID存储于文件`CKM-Physicians-Innovation_layers.txt`中；节点ID的对应信息可从文件`CKM-Physicians-Innovation_nodes.txt`中获取。<br>该节点文件包含14列属性，各列含义依次为：<br>1. 节点ID<br>2. 所在城市<br>3. 药物采纳日期<br>4. 医学院毕业年份<br>5. 学术会议参与频次<br>6. 期刊接触量（jours）<br>7. 可支配闲暇时间<br>8. 病例讨论频率<br>9. 社团参与情况<br>10. 社交好友数量<br>11. 社区参与度<br>12. 接诊患者数量<br>13. 地理邻近性<br>14. 专科领域<br>各属性的具体取值请参见原始文献。<br><br>### 使用许可<br>本CKM-PHYSICIANS-INNOVATION MULTIPLEX DATASET数据集按“现状”提供，不附带任何明示或默示的性能、质量或其他类型的担保。<br><br>

搜集汇总

背景与挑战

背景概述

该数据集是一个多重社交网络数据集，包含246名医生和1551个连接，基于Coleman等人的研究，探讨了社交网络对医生采用新药的影响。数据集包含三个网络层和14个节点属性，适用于社交网络分析和创新扩散研究。