I'm using http://pkg.julialang.org/ but have no clue about the relevance of some of the packages that I have included or excluded. Perhaps @tpoisot might be able to help?

Packages that are already in the list (all relevant?):

• https://github.com/weijianzhang/EvolvingGraphs.jl
• https://github.com/JuliaLang/Graphs.jl
• https://github.com/JuliaGraphs
  • https://github.com/JuliaGraphs/GraphVisualize.jl
  • https://github.com/JuliaGraphs/LightGraphs.jl
  • https://github.com/JuliaGraphs/Networks.jl
  • https://github.com/JuliaGraphs/GraphCentrality.jl

Potential candidates for inclusion on first inspection:

• https://github.com/PoisotLab/EcologicalNetwork.jl
• https://github.com/nassarhuda/MatrixNetworks.jl
• https://github.com/Azzaare/NetworkFlows.jl
• Add to JuliaGraphs item:
  • https://github.com/JuliaGraphs/NetworkLayout.jl
  • https://github.com/JuliaGraphs/LightGraphsExtras.jl
• https://github.com/abhijithanilkumar/NetworkViz.jl (video presentation by the author)
• https://github.com/crsl4/PhyloNetworks.jl
• https://github.com/sisl/BayesNets.jl and https://github.com/sisl/Smile.jl
• https://github.com/sisl/TikzGraphs.jl

Excluded on first inspection:

• https://github.com/johnmyleswhite/HopfieldNets.jl (see note)
• https://github.com/kersulis/MatpowerCases.jl
• https://github.com/AStupidBear/SpikingNetworks.jl (neural networks, see note)

Note: the list does not cover much psy/cog stuff, but perhaps it should. Same goes for neural networks.

Subsection: Varia/Fictional Characters.

http://vis.stanford.edu/jheer/projects/vizster/

e.g.

• sna-de, in German: https://dlist.server.uni-frankfurt.de/mailman/listinfo/sna-de
• The Networks Network - Google Groups: https://groups.google.com/forum/?hl=en-GB#!forum/the-networks-network

Criteria:

• has to be recurrent (every semester/year), no one-shots
• has to be about network analysis specifically, no 'general quantitative methods'
• does not have to be called '* School' (Workshops welcome)

e.g.

• 10th Trie­rer Sum­mer School on So­ci­al Net­work Ana­ly­sis 2016
• ANR-Lab “TMSA” Summer Schools (NRU HSE, Moscow)

Problem: what about workshops within general schools like ECPR Summer/Winter?

I think some resources are particularly hard to navigate because their name is not enough.
Data sets fall definitively into that category.

For instance, I am looking for large trees datasets, and I have no better idea than going through each of the resources (that is still much better than just googling "large tree data sets", this repository is still awesome!)

Could we add one sentence to describe each data set content? That should probably be done by those data sets, but I am ready to help if necessary.

How about add some materials not just research but also real-world examples

http://gojs.net/

• Semantic networks
• Socio-semantic networks (e.g. Camille Roth)
• Text re-use networks
• etc.

Suggestions welcome.

Via Claude S. Fischer on SOCNET, April 20:

"Data and documentation for the first of three waves of the UCNets - UC Berkeley Social Networks Study - are now available for download on NACDA (National Archive of Computerized Data on Aging), part of ICPSR. The URL is: https://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/36975. These ego-centric data consist of a primary sample of egos (n=1,159) and alters (n~12,000). UCNets is a five-year panel study funded by the National Institute on Aging, R01 AG041955-01. People in two age groups (cohorts) – 21-30 year-olds and 50-70 year-olds — are interviewed three times, beginning in Winter-Spring 2015, allowing us to test how changes in social connections happen and affect health. We draw participants from 6 Bay Area counties: San Francisco, Marin, Alameda, Contra Costa, San Mateo and Santa Clara. During 2015-2016 we interviewed most respondents in person, while the other participants filled out a self-administered web survey. In the second and third waves, some of the participants who were interviewed in person will do the survey online. Two waves have been completed: the third wave is currently in the field (as of March 2018).
Please note that the we are constantly cleaning the data, and the cleanest data are not necessarily available through NACDA."

Adding individual accounts would be too much work, but adding the accounts of the listed research groups would be cool. Done it for the NDG at UPenn.

Recommended by email:

Batagelj, V, Brandes, U: Efficient generation of large random networks.
PHYS REV E 71 (3): - Part 2 MAR 2005

I personally do not feel the need for such a section, but feel free to chime in to suggest one is needed, and to suggest awesome articles about them.

Already rejected after review:

• libsna

I know this is awesome network analysis but there is also a need to list resources for collecting network data. I'd be happy to contribute text and links.

Connections (INSNA, published by Exeley) accepts Word or WordPerfect, old-school.

• First draft
• Submit to contributors

There must be more network/SNA-focused blogs out there.

… in the spirit of Flandreau and Jobst.

A question for @gvegayon, perhaps:

Are these groups the same USC-based group? If so, which URL is the correct (still updated) one?

• Center for Applied Network Analysis (CANA) – currently not listed
• Annenberg Networks Network (ANN) – currently listed

http://schochastics.net/sna/periodic.html

Recommended by email:

Batagelj, V., Mrvar, A.: Analysis of Kinship Relations With Pajek.
Social Science Computer Review 26(2), 224-246, 2008.

I personally do not feel the need for such a section, but feel free to chime in to suggest one is needed, and to suggest awesome articles about them.

Using Math.SE and MathO answers.

1.

Currently featured here:

• Diestel, Graph Theory
• Chung and Lu, Complex Graphs and Networks
• Benjamin, Chartrand and Zhang, The Fascinating World of Graph Theory
• Durrett, Random Graph Dynamics

Awesome Math also lists

• Griffin, Graph Theory: Lecture Notes

2.

From "book-recommendation, graph-theory, reference-request" questions at Math.SE:

• Prerequisites for learning (basic) Graph Theory
  • Introductory:
    • Chatrand, Introductory Graph Theory
    • Harris, Combinatorics and Graph Theory
    • West, Introduction to Graph Theory
    • Wilson, Introduction to Graph Theory
  • Introductory, grad-level:
    • Diestel, Graph Theory
  • More difficult options:
    • Bondy and Murty, Graph Theory
    • Harary, Graph Theory
    • Bollobás, Modern Graph Theory
• Where to learn Combinatorics & Graph Theory further?
  • More specific recommendations:
    • Bollobás, Extremal Graph Theory
    • Bollobás, Random Graphs
    • Godsil and Royle, Algebraic Graph Theory
    • Mohar and Thomassen, Graphs on Surfaces
    • Oxley, Matroid Theory
• Introductory Level Books for Graph Theory
  • More praise for:
    • Bollobás
    • West
• Books recommendation on Graph Theory (Beginner level)
  • More praise for:
    • Bondy and Murty
    • Diestel
    • Harary
    • West
  • Introductory:
    • Brualdi, ?
    • Chartrand and Zhang, A First Course in Graph Theory
  • Recommended from a Combinatorics perspective:
    • Allenby and Slomson, How to Count An Introduction to Combinatorics (one chapter)
    • Goodaire and Parmenter, Discrete Mathematics with Graph Theory ("higher standard")
    • Loehr, Bijective Combinatorics (one chapter)
• Easy to read books on Graph Theory
  • More praise for:
    • Bondy and Murty (noted as hard for a CS student)
    • Chartrand (and Zhang)
    • West
    • Wilson
  • Introductory:
    • Agnarsson and Greenlaw, Graph Theory-Modeling, Applications and Algorithms
    • Harris, Hirst, and Mossinghoff, Combinatorics and Graph Theory
  • Relevant for CS students:
    • Even, Graph Algorithms
    • Jungnickel, Graphs, Networks and Algorithms
• What are good books to learn graph theory?
  • More praise for:
    • Agnarsson and Greenlaw
    • Bollobás
    • Bondy and Murty
    • Diestel
    • Harary (advanced)
    • Wilson
  • Introductory:
    • Hartsfield and Ringel, Pearls in Graph Theory: A Comprehensive Introduction
    • Trudeau, Introduction to Graph Theory
  • Introductory, grad-level:
    • Chartrand, Lesniak, and Zhang, Graph and Digraphs
  • Online class:
    • http://techieme.in/graph-theory/
    • Lozin, http://homepages.warwick.ac.uk/~masgax/Graph-Theory-notes.pdf
  • Recommended from a Combinatorics perspective:
    • Bona, A Walk Through Combinatorics
    • Tucker, Applied Combinatorics (disliked by others)
• Suggest books on Combinatorial Graph Theory
  • More praise for:
    • Harris, Hirst and Mossinghoff
• What introductory book on Graph Theory would you recommend? (MathOverflow)
  • Skipped a few references in German and Hungarian
  • Introductory
    • Aldous, Wilson and Best, Graphs and Applications: An Introductory Approach
  • More praise for:
    • Bollobás
    • Bondy and Murty
    • Chartrand, Lesniak(, and Zhang)
    • Diestel
    • Gross and Yellen, Graph Theory And Applications
    • Harary
    • Harris, Hirst, and Mossinghoff
    • Hartsfield and Ringel
    • Tucker (disliked by others)
    • West
    • Wilson
  • Relevant for CS students:
    • Joyner, Nguyen and Cohen, graphbook

See also:

• Undergrad-level combinatorics texts easier than Stanley's Enumerative Combinatorics?

3.

Removed:

• Chung and Lu
• Durrett

New selection, advantaging easiest, available online:

• Introductory/Undergraduate:
  • Benjamin, Chartrand and Zhang, The Fascinating World of Graph Theory (2015)
  • Harris, Hirst, and Mossinghoff, Combinatorics and Graph Theory, 2nd ed. (2008)
  • West, Introduction to Graph Theory, 2nd ed. (2001)
  • Wilson, Introduction to Graph Theory, 5th ed. (2010)
• Advanced/Graduate:
  • Bondy and Murty, Graph Theory (2008)
  • Chartrand, Lesniak and Zhang, Graphs & Digraphs, 6th ed. (2016)
  • Diestel, Graph Theory, 5th ed., transl. Chinese and German (2016)
• Lecture notes:
  • (Adding) Guichard, Introduction to Combinatorics and Graph Theory
• Venerable classics:
  • Bollobás, Modern Graph Theory (1998)
  • Harary, Graph Theory (1969)

Also: add Joyner, Nguyen and Cohen to the "Software-specific" section.

Possibly missing conference/journals:

ICWSM: International AAAI Conference on Web and Social Media https://www.icwsm.org/2019/index.php

International Journal of Social Network Mining (IJSNM): http://www.inderscience.com/jhome.php?jcode=ijsnm

IEEE Transactions on Computational Social Systems (TCSS): http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6570650

International Journal of Network Science (IJNS): http://www.inderscience.com/jhome.php?jcode=ijns

Online Social Networks and Media: https://www.journals.elsevier.com/online-social-networks-and-media/

ACM Transactions on Social Computing: https://tsc.acm.org

https://www.jstatsoft.org/article/view/v084i08

https://graphcommons.com

Seems like it belongs on here somewhere :)

cc: @aepyornis

Hi, would it be possible to add "brainGraph", my R package for analysis of brain MRI networks?
https://github.com/cwatson/brainGraph

Thanks!

• e.g. Springer, open
• e.g. Elsevier, closed

https://www.data-imaginist.com/2017/introducing-tidygraph/
https://github.com/thomasp85/tidygraph
https://www.rstudio.com/resources/videos/tidying-up-your-network-analysis-with-tidygraph-and-ggraph/

worth adding.

https://github.com/dhimmel/hetionet

by @dhimmel et al.

Some sources (e.g.) list "lpNet" as "longitudinal pNet", but the software is absent from the MelNet software page. Where has it gone?

R packages by @schochastics

• https://github.com/schochastics/graphlayouts (placement)
• https://github.com/schochastics/levelnet (bipartite)
• https://github.com/schochastics/netrankr
  • http://blog.schochastics.net/post/network-centrality-in-r-introduction/
  • http://blog.schochastics.net/post/network-centrality-in-r-neighborhood-inclusion/
  • http://blog.schochastics.net/post/network-centrality-in-r-new-ways-of-measuring-centrality/

• books
• courses
• other

https://www.springer.com/us/book/9783319238821

• @gaborcsardi
• @kateto
• @jdwilson4
• @matthewjdenny
• @pedroj
• @tpoisot

• http://www.sciencedirect.com/science/article/pii/S0378873316300284
• http://www.tobiasstark.nl/GENSI/GENSI.htm

The link for Sampson's PhD thesis, "A Novitiate in a Period of Change: An Experimental and Case Study of Social Relationships", seems to be broken.

https://metamaps.cc/

https://github.com/JuliaGraphs/MetaGraphs.jl

https://sites.google.com/a/binghamton.edu/netscied/teaching-learning/network-concepts

In the dataset section, the link to the
Philosophers Networks from Randall Collins's The Sociology of Philosophies
seems to be broken. Searching to the University of Amsterdam website I couldn't find anything there either.

Requested by the author of the Awesome Manifesto.

• http://thecostofknowledge.com/
  • https://gowers.files.wordpress.com/2012/02/elsevierstatementfinal.pdf
  • http://blog.thecostofknowledge.com/
• https://twitter.com/costofknowledge

https://github.com/dts-ait/qgis-edge-bundling

• Continue listing like mad.
• Leave it to rest for a few days years.
• Trim the rest. No.

The list is getting out of hand again (~ 300 links). Some of the articles and software sub-lists might contain stuff that is not strictly awesome (e.g. free and cool but unmaintained or badly outdated).

• Two-mode subsection.
• Hypernetworks subsection?