Representing and mining dynamical social networks in Neo4j
-
Updated
Nov 24, 2021 - Java
#
networkscience
Here are 49 public repositories matching this topic...
Interpretable AI pipeline improving binding predictions for novel protein targets and ligands
-
Updated
May 6, 2024 - Jupyter Notebook
DITRAS (DIary-based TRAjectory Simulator), a mathematical model to simulate human mobility
python simulation modeling datascience mobility humanmobility humanmobilitymodeling mobility-diary mobility-trajectory mobilityanalysis mobilitydata trajectory-simulator networkscience urbanscience
-
Updated
Mar 10, 2020 - Python
Interpretable AI pipeline improving binding predictions for novel protein targets and ligands
machine-learning ai deep-learning networkx drug-discovery unsupervised-learning networkscience artifical-intelligence
-
Updated
May 6, 2024 - Jupyter Notebook
Get ridge or die trying - 2 cents
-
Updated
Oct 14, 2023 - R
This package is used to calculate the Strain Elevation Tension Spring embedding (SETSe) for networks in R
-
Updated
Jul 22, 2022 - R
Knowledge-Graph-UI (KG-UI) is an open-source web-based user interface built for KGs stored in Neo4j. The UI features Cypher queries for viewing immediate neighbors as well as shortest paths between two entities. Additionally, the API can be extended to add other functions such as enrichment analysis, and specialized queries.
neo4j neo4j-database knowledge-graph cytoscape networks user-interface geneset-enrichment cytoscapejs cypher-query-language networkscience genesets geneset-enrichment-analysis
-
Updated
Feb 20, 2025 - JavaScript
An R package for handling and manipulating multilayer network data, mainly for ecological networks
-
Updated
Jan 19, 2025 - R
Ridge Estimation of Vector Auto-Regressive (VAR) Processes
-
Updated
Dec 20, 2018 - R
Harry Potter Character Interaction Networks: Analyzing character relationships, evolution, and narrative dynamics in J.K. Rowling's wizarding world using network science techniques and data from the Harry Potter series. Explore the magic of storytelling through data.
python data-science data-mining community-detection text-analysis data-visualization spacy open-data graph-theory data-analysis social-network-analysis networkscience coreference-resolution story-telling harrypotter centrality-analysis character-interactions narrative-analysis book-analysis
-
Updated
Nov 5, 2023
Simulating and analyzing dynamical network models
-
Updated
Dec 14, 2021 - Python
This repository contains FDP'18 presentations and R scripts.
data-mining r graph network community-detection network-graph data-analysis igraph powerlaw poisson-distribution networkscience clustering-coefficient generative-models information-diffusion degree-distribution scale-free-networks small-world-networks barabasi-albert erdos-renyi centrality-measures
-
Updated
Dec 7, 2018 - R
Infomap State Network Visualizer
-
Updated
Feb 28, 2023 - TypeScript
An effort to study information flow and belief propagation through ego networks.
-
Updated
Dec 27, 2023 - Python
Repository to share the codes used for the partition-based spread identification performed for the paper "An efficient Partition-Based Approach to Identify and Scatter Multiple Relevant Spreaders in Complex Networks".
-
Updated
Jul 14, 2021 - Python
This repository is associated with the manuscript: “Graph Ricci Curvatures Reveal Atypical Functional Connectivity in Autism Spectrum Disorder”
-
Updated
Apr 12, 2024 - Python
A Toolkit for Generation and Analysis of Affiliation Networks
algorithm network generation networks preferential-attachment theory network-analysis networkscience synthetic-data synthetic-dataset-generation
-
Updated
Oct 10, 2022 - OCaml
Source Code for the paper 'Dynamics of PA in Citation Networks'
-
Updated
Apr 18, 2018 - Jupyter Notebook
Improve this page
Add a description, image, and links to the networkscience topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the networkscience topic, visit your repo's landing page and select "manage topics."