We can generally find real world graphs in the links below:

Name	Link	Graph format
All datasets combined	https://networkrepository.com
spare suit matrix	http://sparse.tamu.edu/	.mtx
SNAP	https://snap.stanford.edu/data/	Edge list(.txt)
LAW	https://law.di.unimi.it/datasets.php	webgraph
BioGraphs	https://blogs.qub.ac.uk/dipsa/ms-biographs-ms/	webgraph
Lemur (clueweb09/12/22)	https://www.lemurproject.org/clueweb09.php/
Konect	http://konect.cc/networks/
Hyper Link Graphs	http://webdatacommons.org/hyperlinkgraph/	webgraph and edgelist

Resources:

• https://lgylym.github.io/big-graph/dataset.html
• http://gap.cs.berkeley.edu/datasets.html
• https://projects.csail.mit.edu/dnd/
• https://graphchallenge.mit.edu/data-sets
• https://snap.stanford.edu/data/links.html

Protein to Protein interactions to graph

• protein database string
• SNAP Miner to extract the data.

Extracting webgraph

• webgraph
• webgraph source
• Webgraph Documentation
• webgraph Large source for graphs with vertices greater than $2^{31}$
• webgraph Large Documentation

Installing

• Need Java greater than 9.
• Add Ant and Ivy
• Run : ant ivy-setupjars jar
• set your CLASSPATH by source setcp.sh
• Download the {source}.graph and possibly {source}.properties.
• Then run: java -server it.unimi.dsi.webgraph.ASCIIGraph sourcebasename dest