Abstract: Community detection is a key problem of interest in network analysis, with applications in a variety of domains such as biological networks, social network modeling, and communication ...

A research team at the University of Barcelona (UB) has shown how artificial intelligence (AI) models can detect personality ...

PepGen leverages a graph-based approach to improve the detection of hidden protein variants in a computationally efficient ...

From topic authority to SEO success: Designing topic clusters that rank You’re going to strive for perfection with topic clusters, but just know that this is not realistic Having models that ...

Community detection reveals the unique characteristics and relationships of in-network members, differentiated from out-of-community members and plays a pivotal role in network analysis. In recent ...

Learn how to measure and improve the coherence, relevance, validity, and stability of your topic models and clusters, and how to use them for insights and solutions. Sign in to view more content ...

Firstly, an LDA topic model is introduced to obtain the topic distribution of semantic information of users and complete the construction of social networks; then a community detection algorithm based ...

This Repository contains series of python programs for simulations of Schelling Model i.e. each node in a grid must satisfy threshold neighbourhood property. ... Add a description, image, and links to ...