NesTPP:在线论坛中的线程动力学建模

Chen Ling, G. Tong, Mozi Chen
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引用次数: 6

摘要

在线讨论论坛通过独特的“线程-回复”通信方式,为在线用户提供了一个异步的对话环境,供他们交换意见和分享意见。在这种模式下准确地建模信息动态非常重要,因为它提供了挖掘潜在传播模式和理解用户行为的手段。在本文中,我们设计了一个新的时间点过程模型来描述在线论坛中的信息级联。该模型将整个事件空间视为由主线程流及其链接的回复流组成的嵌套结构,并通过其强度函数显式地建模这两种类型流之间的相关性。利用Reddit数据,我们检查了设计模型在不同应用程序中的性能,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具有竞争力的结果,并且在大多数情况下优于最先进的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
NesTPP: Modeling Thread Dynamics in Online Discussion Forums
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.
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