BG2VN toolbox generates Gaussian-based benchmark graphs with ground-truth vital nodes, offering the first standard test-bed ...

Abstract: Community detection aims at partitioning a network into several densely connected subgraphs. Recently, nonnegative matrix factorization (NMF) has been widely adopted in many successful ...

Abstract: Community detection or clustering is a crucial task for understanding the structure of complex systems. In some networks, nodes are permitted to be linked by either “positive” or “negative” ...

Node grouping is a common way of adding structure and information to networks that aids their interpretation. However, certain networks benefit from the grouping of links instead of nodes. Link ...

I was tasked to create a program that would determine if a graph was connected for the final project in my Discrete Math class (Spring 2016). I decided to use Python 3 and the libraries NumPy and ...

Welcome to my 281 archive! This notes include implementations of basic data structures: union-find sets, unordered_map by hash table, AVL tree, graph represented by adjacency matrix&list and a lot ...

Introduction Asthma is a chronic respiratory disorder requiring ongoing medical management. This ecological study ...

Adjacency is one of those slightly obscure features inCivilization 7 that doesn't get much explanation in the game, but is ...