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 most numerous clusters and hashtags were associated with topics of general interest, such as sports, politics, health etc.

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 modeling and network...

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. We develop an interactive prototype, named ComModeler, to explore and visualize topic abstractions.

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 be presented.

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 rich,...

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 literature, IEEE VIS...

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 graph/network that we generate from the text corpus.

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 applied on a dataset extracted from the popular Q&A site StackOverflow.

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 dimensions: the connectivity ...

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 Twitter users in a community show common interests in general.