基于社交网络用户特征的数据挖掘研究

摘要

With the development of network and mobile communication, people’s social relationships in the network converge more closely. This paper analyzes the features of the Internet social network users, analyzes the group structure, user influence, user activity in social networking. The prediction algorithm is studied from the users feature weight, to establish the data mining model of social network user features. Monte Carlo simulation method is used to process the social network user features data.%随着网络与移动通讯的发展，人们的社交关系与网络衔接越来越紧密。本文对互联网社交网络用户特征进行分析，分析社交网络群体结构、用户影响力、用户活跃度，从用户特征权重的角度进行预测算法研究，建立社交网络用户特征的数据挖掘模型，利用蒙特卡罗仿真方法，实现对社交网络用户特征数据的加工与利用。