面向跨社会治理典型场景多元空间数据集

面向跨社会治理典型场景多元空间数据集，具体包括3个子数据集。其中，子数据集1包含来自豆瓣、微信、微博、小红书和知乎的210,103名用户，数据分布呈现明显的非均匀性。子数据集2涵盖了Google、Facebook、Twitter、LinkedIn、Flickr和MySpace等六个国际平台，共有334,108名用户。与国内平台相比，国际平台的用户特征更加复杂，数据规模更大，内容和社交关系网络也更具异构性。子数据集3为Douban-Weibo双平台数据集，包含9734名豆瓣用户和9514名微博用户，以及相关的用户生成内容。同时，数据集还包含了用户之间的社交链接信息，具备较高的关系密集度。通过这些数据集，可以深入分析各个模型在实际社会治理中的适应性，特别是在处理社交平台多样化、异构化的数据时，模型的鲁棒性和精确度如何变化，其对于社会治理、公共安全和舆情监控等应用场景具有重要的实践意义。

A multi-space dataset for typical cross-social governance scenarios consists of three sub-datasets. Specifically, Sub-dataset 1 contains 210,103 users from domestic platforms including Douban, WeChat, Weibo, Xiaohongshu, and Zhihu, with a significantly uneven data distribution. Sub-dataset 2 covers six international platforms including Google, Facebook, Twitter, LinkedIn, Flickr, and MySpace, with a total of 334,108 users. Compared with domestic platforms, international platforms have more complex user characteristics, larger data scale, and more heterogeneous content and social relationship networks. Sub-dataset 3 is the Douban-Weibo cross-platform dataset, which includes 9,734 Douban users and 9,514 Weibo users, along with relevant user-generated content. Meanwhile, the dataset also contains social connection information between users, featuring a relatively high relationship density. Using these datasets, in-depth analysis can be conducted on the adaptability of various models in actual social governance, especially how the robustness and accuracy of the models change when dealing with diverse and heterogeneous data from social platforms. This dataset holds important practical significance for application scenarios such as social governance, public safety, and public opinion monitoring.

搜集汇总

背景与挑战

背景概述

该数据集包含三个子集，覆盖国内和国际社交媒体平台的用户数据，总用户数超过55万，突出数据非均匀性和异构性特点。它旨在支持跨社会治理场景的分析，用于评估模型在处理多样化社交数据时的鲁棒性和精确度，具有重要的实践应用价值。