摘要
在线社交网络是伴随着互联网技术发展产生的,它属于众多复杂网络中的一种。近年来,对于在线社交网络的研究不断深入,研究方向可以细分为网络拓扑特征的分析、虚拟社区划分算法的研究、传播动力学研究、网络采样与重构、网络拓扑识别等。大数据研究的兴起使得在线社交网络的研究更加受到人们的关注。当前,人们的日常生活几乎离不开在线社交网络,也因此每天都会有大量的用户数据产生,分析、利用这些数据可以帮助人们了解自己并创造更多的价值。
Online social networks are generated along with the development of Internet technology, and it belongs to complex networks. In recent years, people have done many researches on online social networks. These researches are about the analysis of the characteristics of the network topology, the algorithms of the virtual communities finding , transmission dynamics, network sampling and reconstruction, and recogni- tion of the network topology . The emergence of big data makes more people pay attention to online social networking. Nowadays, people's life is almost inseparable from online social networks, and therefore there are a large number of user' s data generating . The analysis and use of these data can help people understand themselves and create more value.
出处
《微型机与应用》
2016年第14期12-15,18,共5页
Microcomputer & Its Applications
关键词
在线社交网络
拓扑特征
虚拟社区划分算法
采样
重构
大数据
online social networks
topological characteristics
virtual community finding algorithms
sampling
reconstruction
big data