论文标题
NESTPP：在线讨论论坛中建模线程动态
NesTPP: Modeling Thread Dynamics in Online Discussion Forums
论文作者
论文摘要
在线讨论论坛为在线用户创建了一个异步的对话环境，以通过独特的线程通信模式来交换想法并分享意见。在这种模式下，准确对信息动态进行建模很重要，因为它提供了一种挖掘潜在差异模式并了解用户行为的方法。在本文中，我们设计了一个新颖的时间点过程模型，以表征在线讨论论坛中的信息级联。提出的模型将整个事件空间视为由主线程流及其链接回复流组成的嵌套结构，并且通过其强度函数明确地对这两种类型流之间的相关性进行建模。利用Reddit数据，我们检查了在不同应用程序中设计模型的性能，并将其与其他流行方法进行比较。实验结果表明，我们的模型可以产生竞争成果，并且在大多数情况下，它的表现要优于最先进的方法。
Online discussion forum creates an asynchronous conversation environment for online users to exchange ideas and share opinions through a unique thread-reply communication mode. Accurately modeling information dynamics under such a mode is important, as it provides a means of mining latent spread patterns and understanding user behaviors. In this paper, we design a novel temporal point process model to characterize information cascades in online discussion forums. The proposed model views the entire event space as a nested structure composed of main thread streams and their linked reply streams, and it explicitly models the correlations between these two types of streams through their intensity functions. Leveraging the Reddit data, we examine the performance of the designed model in different applications and compare it with other popular methods. The experimental results have shown that our model can produce competitive results, and it outperforms state-of-the-art methods in most cases.
