Learning Social Circles in Networks 学习网络中的社交圈：将朋友成员资格建模到多个圈子

社交圈可帮助用户组织其个人社交网络。这些在Google+上被实现为“圆圈”，在Facebook和Twitter上被实现为“列表”。每个圈子由特定用户的朋友的子集组成。此类圈可以不相交，重叠或分层嵌套。您可使用数据集来自动推断用户的社交圈。数据向您提供了一组用户，必须推断出每个用户的圈子。

Social circles help users organize their personal social networks. These were implemented as "Circles" on Google+, and as "Lists" on Facebook and Twitter. Each circle consists of a subset of a specific user's friends. Such circles can be disjoint, overlapping, or hierarchically nested. You can use this dataset to automatically infer users' social circles. The dataset provides a set of users, and you are required to infer the circles for each user.

搜集汇总

背景与挑战

背景概述

该数据集旨在通过用户的朋友列表、匿名个人资料及其朋友间的连接网络，自动推断用户在社交网络中的社交圈。它包含训练集、测试集、特征文件及评估脚本，适用于社交圈检测任务。