Awesome-Mirrors/awesome-network-analysis
1
0
Fork 0
mirror of https://github.com/briatte/awesome-network-analysis.git synced 2025-01-21 12:01:01 -05:00
Code Issues Packages Projects Releases Wiki Activity

add igraph to python packages list

Browse Source
This commit is contained in:
Sandro Sousa 2016-10-27 22:13:57 +01:00
parent 49a86893cb
commit bf7cd081ac
1 changed files with 3 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

5
README.md
View File

@ -407,7 +407,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes
- [La notion de réseau complexe : du réseau comme abstraction et outil à la masse de données des réseaux sociaux en ligne](https://www.cairn.info/resume.php?ID_ARTICLE=COMOR_043_0015), by Alain Barrat, in French - Accessible introduction to the study of complex networks (_Communication & Organisation_, 2013).
- [Network Analysis, Culture, and the Problem of Agency](http://www.ssc.wisc.edu/~emirbaye/Mustafa_Emirbayer/ARTICLES_files/network%20analysis,%20culture,%20and%20the%20problem%20of%20agency.pdf), by Mustafa Emirbayer and Jeff Goodwin (_American Journal of Sociology_, 1994), and [Manifesto for a Relational Sociology](http://www.ssc.wisc.edu/~emirbaye/Mustafa_Emirbayer/ARTICLES_files/manifesto%20for%20a%20relational%20sociology.pdf), by Mustafa Emirbayer (_American Journal of Sociology_, 1997) - Sociological foundations for a science of social ties.
- [Network Theory, Plot Analysis](https://sydney.edu.au/intellectual-history/documents/moretti_network_theory_plot_analysis.pdf), by Franco Moretti - Example applications of (fictional) network analysis in literary studies (_New Left Review_, 2011).
- [Node Centrality in Weighted Networks: Generalizing Degree and Shortest Paths](http://www.sciencedirect.com/science/article/pii/S0378873310000183), by Tore Opsahl, Filip Agneessens and John Skvoretz - Explores the generalization of network centrality and distance measures to (positively) valued graphs (_Social Networks_, 2010; [companion website](https://toreopsahl.com/tnet/)).
- [Node Centrality in Weighted Networks: Generalizing Degree and Shortest Paths](http://www.sciencedirect.com/science/article/pii/S0378873310000183), by Tore Opsahl, Filip Agneessens and John Skvoretz - Explores the generalization of network centrality and distance measures to (positively) valued graphs (_Social Networks_, 2010; [companion website](https://toreopsahl.com/tnet/)).
- [Scale-Free Networks](http://www.barabasilab.com/pubs/CCNR-ALB_Publications/200305-01_SciAmer-ScaleFree/200305-01_SciAmer-ScaleFree.pdf), by Albert-László Barabási and Eric Bonabeau - Early, accessible formulation of the “networks are everywhere” argument (_Scientific American_, 2003).
- [Social Networks and Causal Inference](http://link.springer.com/chapter/10.1007/978-94-007-6094-3_17), by Tyler J. VanderWeele and Weihua An - Reviews the different ways in which network analysis can produce meaningful causal statements, as well as the inherent limits of network analysis for doing so (_[Handbook of Causal Analysis for Social Research](http://link.springer.com/book/10.1007/978-94-007-6094-3)_, 2013).
- [The Performativity of Networks](http://kieranhealy.org/files/papers/performativity.pdf), by Kieran Healy - Network analysis meets science studies: social networks, like financial markets, are highly subject to performativity, i.e. the possibility that reality might be altered by its theoretical inquiry (_European Journal of Sociology_, 2015).
@ -540,7 +540,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes
### MATLAB
1. [Brain Connectivity Toolbox](https://sites.google.com/site/bctnet/) - Toolbox for complex-network analysis of structural and functional brain-connectivity data, with links to many related projects.
1. [Brain Connectivity Toolbox](https://sites.google.com/site/bctnet/) - Toolbox for complex-network analysis of structural and functional brain-connectivity data, with links to many related projects.
- [Complex Networks Package for MatLab](http://www.levmuchnik.net/Content/Networks/ComplexNetworksPackage.html).
- [CONTEST](http://www.maths.strath.ac.uk/research/groups/numerical_analysis/contest) - Random network toolbox that implements nine network models.
- [Generalized Louvain](http://netwiki.amath.unc.edu/GenLouvain/GenLouvain) - Variant of the Louvain community detection algorithm.
@ -554,6 +554,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes
> For more awesome Python packages, see the [Awesome Python](https://github.com/vinta/awesome-python) and [Awesome Python Books](https://github.com/Junnplus/awesome-python-books) lists.
1. [graph-tool](https://graph-tool.skewed.de/) - Python module for network manipulation and analysis, written mostly in C++ for speed.
- [igraph](http://igraph.org/python/) - A collection of network analysis tools, written mostly in C++ for speed.
- [graphviz](https://pypi.python.org/pypi/graphviz) - Python renderer for the DOT graph drawing language.
- [linkpred](https://github.com/rafguns/linkpred) - Assess the likelihood of potential links in a future snapshot of a network.
- [metaknowledge](http://networkslab.org/metaknowledge/) - Python package to turn bibliometrics data into authorship and citation networks.