Oct 28, 2021 · In order to scale with the graph size, we apply two linear community detection algorithms, CoDA and Louvain. Once the hashtags have been assigned to clusters, both the …

Sep 20, 2022 · In this post, we will learn how we could use network analytics and community detection to leverage topic modelling. This article suggests a two step approach with topic …

Nov 4, 2018 · We propose a new approach to discover topics using commu-nity detection in networks. The approach allows us to refine the network and reveal its community formations. …

In this paper, a novel community detection method based on topic model is proposed, which only requires the structural information of networks, and does not need node or edge attributes to …

In this paper, we propose a TTR-LDA-Community model, which is an inferential combination of an extended LDA model and a betweenness-based community detection algorithm. It provides …

Jun 4, 2018 · We demonstrate the ComModeler on several real world datasets, including the two movie co-star networks, two datasets of protein interactions extracted from biomedical …

We propose a new topic modeling approach that overcomes these shortcomings by formu-lating the topic modeling problem as a commu-nity detection problem in a word association …

In this paper, we propose an efficient approach for extracting data from Q&A sites in order to detect communities of interest. Then we compare three community detection methods we …

Aug 30, 2021 · In this paper we develop a novel overlapping community detection method that scales to networks of millions of nodes and edges and advances research along two …

By building a Twitter topic modeling system to interpret the communities identified by two community detection algorithms in a large scale Twitter topology, we discover evidence that …