Multilayered/Network-Analysis-Sources

Table of content

• Conference Talks

• Graph Theory Tutorials

• Toolboxes and Code Samples

• Multilayered Networks Tutorials

• Toolboxes

• Network Visualisation Tools

• Several Papers on the topic

• Conferences, Events, Workshops

Conference Talks

Ginestra Bianconi @ Complex Networks 2017 - Multilayered Networks

Santo Fortunato @ Complex Networks 2017 - Community Detection

Complex Networks, 2017, Lyon

Complex Systems Conference at Center for Collective Dynamics of Complex Systems at Binghamton University,

Bratislav Misic, McGill University Graph Theory and measures of Brain Connectivity

University of Lille Advanced methods for neuroimaging data analysis workshop

OHBM 2019 Educational Tutorials Morning Session: An Introduction to Network Neuroscience: How to build, model, and analyse connectomes

OHBM 2019 Educational Tutorials Afternoon Session: An Introduction to Network Neuroscience: How to build, model, and analyse connectomes

OHBM 2019 Educational Tutorials: Controversies and Open Questions in the Study of “Resting - State” Time - Varying Functional Connectivity

OHBM 2019 Educational Tutorials: [Dan Lurie, Time-varying Connectivity in Resting-state fMRI: Methods, interpretations, and clinical use] (https://www.pathlms.com/ohbm/courses/12238/sections/15846/video_presentations/137449)

OHBM 2019 Symposia: [Xenia Kobeleva, How Do Current Predictive Connectivity Models Meet Clinician's Needs?] (https://www.pathlms.com/ohbm/courses/12238/sections/15843/video_presentations/137847)

OHBM 2019 Symposia: Sepideh Sadaghiani, Spatial Organization of Connectivity Over Timescales: Multimodal insights on cognitive architectures

OHBM 2019 Symposia: Maurizio Corbetta, Measuring Functional Connectivity in Stroke: Approaches and considerations

OHBM 2019 Symposia: Ben Fulcher, Connecting Large - Scale Brain - Network Topology to the Transcriptome Reveals Multiscale Principles of Brain Organization

OHBM 2019 Symposia: Christian Grefkes, Connectivity - based Models in Stroke and Recovery of Function: A clinical researcher’s viewpoint

OHBM 2019 Symposia: Cyril Pernet, OHBM - COBIDAS MEEG Guidelines for Mapping Of MEG and EEG Source Activity and Connectivity in Brain Research

OHBM 2019 Symposia: Claudio Babiloni, IFCN Guidelines for Mapping Of EEG Source Activity and Connectivity in Clinical Research

OHBM 2019 Symposia: Vince Calhoun, Dynamic Functional Connectivity Biomarkers: Potential and limitations

Graph Theory Tutorials

Connectome Analysis Tutorials

Complexity Explorables A wonderful visualisation of the complex systems to give an idea about the interaction and the complementaryness of the systems. I adore this project!

Complexity Explained Again a fantastic webpage, makes such a complicated phemenon easy to understand! I would strongly recommend who works on complex systems and their behaviour to read it through.

Toolboxes and Code Samples

• Texas University Brain Connectivity (PSY 381D), Spring 2019 by Satoru Hayasaka

• MIT Matlab Functions for Complex Network Analysis

• BrainX: analysis of graph properties of neuroimaging data by Cohen et al., (2016)

• NetworkX: a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.

• Mikko Kivela's Multilayer Network Analysis Toolbox in Python

• Graph-tool: A Python module for manipulation and statistical analysis of graphs.

• Pajek

• Graph Theory GLM (GTG) MATLAB Toolbox

• GraphVar

• NBS: Network Based Statistics

• SNAP System Stanford Network Analysis Platform

• CONN: Functional connectivity toolbox

• iGraph: Network Analysis Toolbox

• Brain Connectivity Toolbox

• MatlabBGL: Matlab package for working with graphs

• Louvain method: Finding communities in large networks

• GenLouvain

• Louvain I-Graph: Louvain algorithm in C++ and exposes it to python

• Network Community Toolbox: by Daniella Bassett (Matlab)

• Network Community Toolbox: Python version of Network Community Analsysis Codes provided by Daniella Bassett

• Functional Subgraph: A machine learning toolbox for the analysis of dynamic graphs by Khambatti

• CliqueTop: A collection of matlab scripts for doing topological analysis of symmetric matrices.

• Local Community Detection

• Leiden Graphn: Implementation of the Leiden algorithm for various quality functions to be used with igraph in Pytho

• Multilayered Network Libraryby Mikko Kivela

• Resolution: R implementation of an algorithm to find communities in networks with resolution parameter based on the article "Laplacian dynamics and Multiscale Modular Structure in Networks" R. Lambiotte et al.

• OpenNE: An open source toolkit for Network Embedding: An open source toolkit for Network Embedding

• AGMfit: Detection of overlapping communities (dense groups of nodes) in networks

• KoNET: Koblenz Network CollectionLarge network datasets

• NetWiki

• Stanford Network Database

• EasyN: Building interactive networks

• Filtered Network Models

• Functional Subgraph: A machine learning toolbox for the analysis of dynamic graphs.

• Clique-Top: CliqueTop is a collection of matlab scripts for doing topological analysis of symmetric matrices.

• Peter Mucha Network Tools

• Kivela's Multilayered Networks Library

• Interactive Markov Chains

• Stability of Graph Partition

• Partition Stability

Network Visualisation Tools

• Gephi

• Pajek

• Guess

• Circoss: Circular Visualisation of Graph

• Spato: Interactive software tool for the visualization and exploration of complex networks

• GraphViz

• CytoScape

• MuxViz

• Connectome Viewer

• R-Cran Package: Brainwaver

• R-Cran Package: igraph

• NeuroMArVL

• Temporal Eigen Vector Centrality

• Connectome Computation System

• ResolutionR implementation of an algorithm to find communities in networks with resolution parameter based on the article "Laplacian dynamics and Multiscale Modular Structure in Networks" R. Lambiotte et al.

Papers

Goncalves & Perra, 2019, Dynamical Processes in Time-Varying Networks

Kivelä et al., 2014 Multilayer networks

Soon to be filled...

Conferences, Events, Workshops

Complenet

Complex Networks

UK Network Science Workshop

Mediterranean School on complex networks

NET2019 International Workshop on Network Models in Statistics, Economics and Social Sciences

NetSci-X — International School and Conference on Network Science

Workshop — Random Graphs: Combinatorics, Complex Networks and Disordered Systems