基于城市人口结构统计的人群接触网络数据集

该数据集主要面向百万级人口城市的人群接触网络构建，以反映特定城市人口统计特征的多场景人际接触模式，并为突发公共卫生事件下的早期阻断资源分配方案提供支撑。数据集通过对深圳市居民的人口普查、家庭结构、学习和就业等统计信息进行采集与整合生成。具体内容包括个体ID、年龄、性别、家庭编号、学校编号、工作场所编号以及接触关系等数据信息。原始数据来自深圳市统计局第七次人口普查、深圳市统计年鉴等多源政府公开数据。利用数据驱动的SynthPops接触网络构建方法，依据人口混合模式将个体分配至家庭、工作场所、学校及社区等多种接触场景，并赋予相关社会职业属性，最终生成了反映异质人群在多层网络框架下的人际接触关系数据集。数据量约为46.2MB。This dataset is primarily designed for constructing human contact networks in megacities with a population of millions, aiming to reflect multi-scenario interpersonal contact patterns that embody the demographic characteristics of a specific city and provide support for resource allocation schemes for early containment during public health emergencies. It is generated by collecting and integrating statistical information such as census data, household structure, education and employment details of Shenzhen residents. Specific data items include individual ID, age, gender, household ID, school ID, workplace ID, and contact relationships. The original data is sourced from multi-source publicly available government statistical resources, including Shenzhen's data from the Seventh National Population Census and the Shenzhen Statistical Yearbook, among others. Using the data-driven SynthPops contact network construction method, individuals are assigned to various contact scenarios such as households, workplaces, schools and communities based on demographic mixing patterns, and are endowed with corresponding social and occupational attributes, ultimately generating a dataset of interpersonal contact relationships among heterogeneous populations under a multi-layer network framework. The total size of this dataset is approximately 46.2 MB.

搜集汇总

背景与挑战

背景概述

该数据集旨在构建百万级人口城市的人群接触网络，以反映基于人口统计特征的多场景人际接触模式，为突发公共卫生事件下的资源分配提供支持。它利用深圳市公开统计数据，通过SynthPops方法生成包含个体属性和接触关系的网络数据，数据量约为46.2MB。