user_ids.txt.gz

Figshare2016-12-26 更新2026-04-08 收录

社交网络关系预测

用户转发行为分析

数据链接：

https://figshare.com/articles/user_ids_txt_gz/4496951/1 数据链接链接失效反馈

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资源简介：

User IDs of Twitter users used in the following paper.<br><br>S. Tsugawa and K. Kito, "Retweets as a Predictor of Relationships among Users on Social Media" submitted for publication.<br>

创建时间：

2016-12-26

社交网络聊天行为预测数据集

社交网络关系预测

交互行为建模

社交网络聊天行为预测数据集_Social_Network_Chat_Behavior_Prediction 数据来源：互联网公开数据标签：社交网络, 聊天行为, 用户特征, 关系预测, 机器学习, 图神经网络, 数据挖掘, 社交分析数据概述：该数据集包含来自社交网络平台的用户互动数据，记录了用户之间的潜在聊天行为。主要特征如下：时间跨度：数据未标明具体时间，视作静态快照数据。地理范围：数

海数据110

Linear regression estimating how many times a user is retweeted.

社交媒体影响力评估

用户转发行为分析

† Variables are normalized by Z-score.*** p For efficiency, the regression is based on a random sample of 10% of the users (N = 2,171,624).

Figshare2015-12-03 更新20

Predicting Positive and Negative Relationships in Large Social Networks

社交网络关系预测

潜在关系挖掘

In a social network, users hold and express positive and negative attitudes (e.g. support/opposition) towards other users. Those attitudes exhibit some kind of binary relationships among the users, wh

Figshare2016-01-15 更新10

Contagion spread: The larger the distance the less likely a user will retweet.

社交网络信息扩散

用户转发行为分析

Contagion spread: The larger the distance the less likely a user will retweet.

NIAID Data Ecosystem30

Parameters for the logistic regression model to predict Name Generator ties.

社交网络关系预测

回归模型参数

*This field indicates a dummy variable was also included. If a data point for the row variable was a 0, the dummy took on a value of 1. Otherwise the dummy was 0. Row variables with blank entries did

Figshare2015-12-02 更新10

user_ids.txt.gz

资源简介：

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