Replication Data for: Adapting Longitudinal Personal Network Research through Participation

Overview This repository contains data and reproducible analysis code for the paper "Adapting Longitudinal Personal Network Research through Participation: Reflections from a Rural Study" by Hâncean MG, McCarty C, Molina JL, Geantă M, Lerner J, Mihăilă BE, Cioroboiu C and Oană I. The study conducted a three-wave longitudinal personal network survey in a rural Romanian community using link-tracing (respondent-driven sampling) methodology and a personal network analysis research design. The data document participant networks, recruitment patterns, interview quality metrics, and network retention across waves. Contents Data Files (R format, .rds) myEgo_w123_updated.rds (266 obs, 75 variables) Ego-level panel data across three waves Demographics, income, education, household characteristics Interview metadata and duration myAlter_w123_updated.rds (5,084 obs, 25 variables) Network member (alter) data for each ego at each wave Alter demographics as reported by ego Enables network size calculation and retention analysis my_link_data_clean.rds (407 obs, 43 variables) Link-tracing (RDS) chain node data Recruitment outcomes for all individuals contacted Consolidated demographic attributes across waves my_link_arcs_clean.rds (318 obs, 3 variables) Edgelist of link-tracing referral relationships Network ties showing who referred whom Enables visualization of RDS recruitment chain Documentation supplementary_material.html — Complete html document with reproducible analysis code (R + markdown)数据集概览 本代码仓库包含论文《通过参与适配纵向个人网络研究：一项乡村研究的反思》（Adapting Longitudinal Personal Network Research through Participation: Reflections from a Rural Study）的相关数据与可复现分析代码，论文作者为Hâncean MG、McCarty C、Molina JL、Geantă M、Lerner J、Mihăilă BE、Cioroboiu C及Oană I。 本研究在罗马尼亚某乡村社区采用链接追踪法（link-tracing，即受访者驱动抽样（respondent-driven sampling, RDS））与个人网络分析研究设计，开展了三轮波次的纵向个人网络调查。本数据集记录了各波次的参与者网络、招募模式、访谈质量指标及网络留存情况。 数据集内容 数据文件（R语言格式，后缀为.rds） myEgo_w123_updated.rds（266条观测，75个变量） 三轮波次的自我（ego）层面面板数据，涵盖人口统计学特征、收入、受教育程度与家庭特征，同时包含访谈元数据及访谈时长。 myAlter_w123_updated.rds（5084条观测，25个变量） 各波次中每个自我对应的网络他者（alter）数据，包含自我报告的他者人口统计学特征，可用于网络规模计算与留存分析。 my_link_data_clean.rds（407条观测，43个变量） 链接追踪（RDS）链节点数据，涵盖所有被联系个体的招募结果，以及跨波次整合的人口统计学属性。 my_link_arcs_clean.rds（318条观测，3个变量） 链接追踪引荐关系的边列表数据，展示了个体间的引荐网络边，可用于RDS招募链的可视化。 文档资料 supplementary_material.html — 包含可复现分析代码（R语言与markdown）的完整HTML文档