讨论级联的结构和演化建模
Modeling the structure and evolution of discussion cascades
摘要：
我们分析了四个流行的网站：Slashdot，Barrapunto，Meneame和维基百科的讨论级联的结构和演变。尽管这些网站之间的大的异质性，偏好连接（PA）模型与偏见的根可以捕捉到的时间演变的观察到的树木和他们的许多统计特性，即，概率分布的分支因子（度），子树的大小和某些相关性。该模型的参数学习有效地使用一种新的极大似然估计方案PA和提供一个形象的解释有关的通信习惯和由此产生的讨论级联在四个不同的网站。
英文摘要：
We analyze the structure and evolution of discussion cascades in four popular websites: Slashdot, Barrapunto, Meneame and Wikipedia. Despite the big heterogeneities between these sites, a preferential attachment (PA) model with bias to the root can capture the temporal evolution of the observed trees and many of their statistical properties, namely, probability distributions of the branching factors (degrees), subtree sizes and certain correlations. The parameters of the model are learned efficiently using a novel maximum likelihood estimation scheme for PA and provide a figurative interpretation about the communication habits and the resulting discussion cascades on the four different websites.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
