Analyzing Visualizing Noordin Top Terror Network Gephi University

Analyzing, Visualizing Noordin Top Terror Network (Gephi) University of Minnesota Outreach (UCINET Net Draw) Tools of the Trade https: //www. joe. org/joe/2011 december/a 9. php When pen and paper (or even Excel) just won’t do US Power Grid (Pajek) Infantry Training Task Network (i. Graph) CDT Maldonado, CDT Talty, MAJ Koban https: //www. cise. ufl. edu/research/sparse/matrices/Pajek/ USpower. Grid. html UNCLASSIFIED Infantry Training Task Network (ORA)

Why? We may not need to use analytical packages and visualization for graph theory. • What are some differences between graphs and networks? To do real work with networks, complex networks, dynamic networks, you need to get comfortable with software. Analysis Visualization…I picture is worth a 1000 words…or more. UNCLASSIFIED

You’ve Got MANY Options In fact, more than 50 from just the following two sites: • University of Gronigen: https: //www. gmw. rug. nl/~huisman/sna/software. html • Good ol’ Wikipedia: https: //en. wikipedia. org/wiki/Social_network_analysis_software We’re going to discuss the following: • • UCINET (Net. Draw) Python (Network. X) R (i. Graph) ORA Mathematica Pajek Gephi UNCLASSIFIED

UCINET (Net. Draw) You can get it here: https: //sites. google. com/site/ucinetsoftware/home Lots of history (been around since 1987), widely used in academia Actively maintained (2 -day workshop hosted by Borgatti in April) • Additional information about Net. Draw in Chapter 4 of http: //www. faculty. ucr. edu/~hanneman/nettext/ Pro: • Flexible data import • Many metrics • Supports more complex network analysis • Compatible with many visualization platforms Con: • Steeper learning curve • Online help is “sophisticated. ” • Difficult to filter data being viewed • Net. Draw visualization relatively poor, cannot format output. UNCLASSIFIED

Pajek You can get it here: http: //mrvar. fdv. uni-lj. si/pajek/ Lots of history (been around since 1996) No maintenance since May 2016 (active prior to that) Helpful book at http: //mrvar. fdv. uni-lj. si/pajekman. pdf Offers both Pajek (good for large networks) and Pajek XXL (good for huge networks). Pro: • Good online documentation • Many metrics • Supports more complex network analysis Con: • Steeper learning curve • Primarily for complex mappings of very large networks UNCLASSIFIED

Python (Network. X) You can get it here: http: //networkx. github. io/ If you like Python and networks, you’ll love Network. X! Pro: • Written completely in Python • Good online documentation • Many metrics • Supports more complex network analysis • Algorithms are easy to find and manipulate Con: • May have poor performance and/or memory usage, depending on which algorithms are being called (do to dictionary data structure). • Outputs are relatively simplistic and difficult to manipulate UNCLASSIFIED

R (i. Graph) You can get it here: http: //igraph. org/r/ … ## Download and install the package install. packages("igraph") ## Load package library(igraph) If you like R and networks, you’ll love i. Graph! Pro: • Many data analysis features • Standard graph statistics are present • Faster than Network. X (>>) Con: • API takes time to get used to (for Python users). • Tools designed for analysts by analysts UNCLASSIFIED

ORA ORA: Organizational Risk Analyzer You can get it here: http: //www. casos. cmu. edu/projects/ora/download. php Or here: http: //www. casos. cmu. edu/projects/ora/ Used in TRADOC’s Advanced Network Analysis and Targeting (ANAT) course Pro: • Very low barrier to entry. • Dynamic and temporal network analysis • Advanced network analysis • Geo-spatial analysis tools. Con: • Costs to use any functionality beyond ORA Lite ($480 per copy) • Visualization is not as impressive as other platforms • Difficult to modify existing algorithms UNCLASSIFIED

Mathematica It’s not just for Calculus! Pro: • Tremendous amount of functionality with many available network and graph metrics. • Student familiarity with the Mathematica interface. Con: • Expensive to maintain license upon departure from USMA (loss of developed tools). UNCLASSIFIED

Gephi Get it here: https: //gephi. org/ “Photoshop for graphs” Active developer community (last release FEB 2016) Very active online community (including Facebook users group) Pro: • Premier graph visualization package • Entirely GUI • Intuitive to use • Shallow learning curve • Can visualize “Internet-sized” networks Con: • Shorter list of analysis tools than other packages • For very large graphs, must get “under the hood” to adjust memory usage settings UNCLASSIFIED

References http: //www. slideshare. net/noahflower/overview-of-networkanalysis-platforms http: //pt. slideshare. net/keiono/overview-of-modern-graphanalysis-tools? smt. No. Redir=1 http: //files. meetup. com/1406240/sna_in_R. pdf UNCLASSIFIED