User Influence Analysis Based on Blogs

2026-09-22

AI Summary

本文针对社交媒体中信息扩散问题，提出三种基于用户转发微博及@行为的影响力计算算法，并通过与数据集中的训练数据对比验证了算法的有效性。

Abstract

Rumor and word of mouth spread at the same speed as the highway of information diffusion in the age of the internet. Social networks play quite an important role in the huge internet. Nowadays, social networks have become indispensable in our lives, especially for the government and enterprises. A social network becomes a complex information diffusion network with users working as nodes and the relationships between users working as the vehicle. In this paper, we propose three kinds of algorithms for computing user influence based on the behavior of a user's forwarding microblogs and the symbol of @ in microblogs. We evaluate the effectiveness of the algorithms by comparing the results of our work with the training data in the dataset, and in the end, it proves that our algorithms work well.

Problem

• User Influence
• Social Networks
• Information Diffusion

Innovation

• user influence
• microblogs
• algorithms
• information diffusion