{"id":2046,"date":"2013-02-08T08:02:55","date_gmt":"2013-02-08T13:02:55","guid":{"rendered":"http:\/\/rud.is\/b\/?p=2046"},"modified":"2018-03-10T07:53:38","modified_gmt":"2018-03-10T12:53:38","slug":"extended-simple-example-asn-graph-visualization-example-r-to-d3","status":"publish","type":"post","link":"https:\/\/rud.is\/b\/2013\/02\/08\/extended-simple-example-asn-graph-visualization-example-r-to-d3\/","title":{"rendered":"Extended (Simple) ASN Graph Visualization Example [R to D3]"},"content":{"rendered":"

The small igraph<\/code> visualization in the previous post<\/a> shows the basics of what you can do with the BulkOrigin<\/code> & BulkPeer<\/code> functions, and I thought a larger example with some basic D3<\/a> tossed in might be even more useful.<\/p>\n

Assuming you have the previous functions in your environment, the following builds a larger graph structure (the IPs came from an overnight sample of pcap<\/a><\/code> captured communication between my MacBook Pro & cloud services) and plots a similar circular graph:<\/p>\n

\nlibrary(igraph)\n\nips = c(\"100.43.81.11\",\"100.43.81.7\",\"107.20.39.216\",\"108.166.87.63\",\"109.152.4.217\",\"109.73.79.58\",\"119.235.237.17\",\"128.12.248.13\",\"128.221.197.57\",\"128.221.197.60\",\"128.221.224.57\",\"129.241.249.6\",\"134.226.56.7\",\"137.157.8.253\",\"137.69.117.58\",\"142.56.86.35\",\"146.255.96.169\",\"150.203.4.24\",\"152.62.109.57\",\"152.62.109.62\",\"160.83.30.185\",\"160.83.30.202\",\"160.83.72.205\",\"161.69.220.1\",\"168.159.192.57\",\"168.244.164.254\",\"173.165.182.190\",\"173.57.120.151\",\"175.41.236.5\",\"176.34.78.244\",\"178.85.44.139\",\"184.172.0.214\",\"184.72.187.192\",\"193.164.138.35\",\"194.203.96.184\",\"198.22.122.158\",\"199.181.136.59\",\"204.191.88.251\",\"204.4.182.15\",\"205.185.121.149\",\"206.112.95.181\",\"206.47.249.246\",\"207.189.121.46\",\"207.54.134.4\",\"209.221.90.250\",\"212.36.53.166\",\"216.119.144.209\",\"216.43.0.10\",\"23.20.117.241\",\"23.20.204.157\",\"23.20.9.81\",\"23.22.63.190\",\"24.207.64.10\",\"24.64.233.203\",\"37.59.16.223\",\"49.212.154.200\",\"50.16.130.169\",\"50.16.179.34\",\"50.16.29.33\",\"50.17.13.221\",\"50.17.43.219\",\"50.18.234.67\",\"63.71.9.108\",\"64.102.249.7\",\"64.31.190.1\",\"65.210.5.50\",\"65.52.1.12\",\"65.60.80.199\",\"66.152.247.114\",\"66.193.16.162\",\"66.249.71.143\",\"66.249.71.47\",\"66.249.72.76\",\"66.41.34.181\",\"69.164.221.186\",\"69.171.229.245\",\"69.28.149.29\",\"70.164.152.31\",\"71.127.49.50\",\"71.41.139.254\",\"71.87.20.2\",\"74.112.131.127\",\"74.114.47.11\",\"74.121.22.10\",\"74.125.178.81\",\"74.125.178.82\",\"74.125.178.88\",\"74.125.178.94\",\"74.176.163.56\",\"76.118.2.138\",\"76.126.174.105\",\"76.14.60.62\",\"76.168.198.238\",\"76.22.130.45\",\"77.79.6.37\",\"81.137.59.193\",\"82.132.239.186\",\"82.132.239.97\",\"8.28.16.254\",\"83.111.54.154\",\"83.251.15.145\",\"84.61.15.10\",\"85.90.76.149\",\"88.211.53.36\",\"89.204.182.67\",\"93.186.30.114\",\"96.27.136.169\",\"97.107.138.192\",\"98.158.20.231\",\"98.158.20.237\")\norigin = BulkOrigin(ips)\npeers = BulkPeer(ips)\n\ng = graph.empty() + vertices(ips,size=10,color=\"red\",group=1)\ng = g + vertices(unique(c(peers$Peer.AS, origin$AS)),size=10,color=\"lightblue\",group=2)\nV(g)$label = c(ips, unique(c(peers$Peer.AS, origin$AS)))\nip.edges = lapply(ips,function(x) {\n  c(x,origin[origin$IP==x,]$AS)\n})\nbgp.edges = lapply(unique(origin$BGP.Prefix),function(x) {\n  startAS = unique(origin[origin$BGP.Prefix==x,]$AS)\n  pAS = peers[peers$BGP.Prefix==x,]$Peer.AS\n  lapply(pAS,function(y) {\n    c(startAS,y)\n  })\n})\ng = g + edges(unlist(ip.edges))\ng = g + edges(unlist(bgp.edges))\nE(g)$weight = 1\ng = simplify(g, edge.attr.comb=list(weight=\"sum\"))\nE(g)$arrow.size = 0\ng$layout = layout.circle\nplot(g)\n<\/pre>\n
I’ll let you run that to see how horrid a large, style-\/layout-unmodified circular layout graph looks.<\/p>\n
Thanks to a snippet<\/a> on StackOverflow, it’s really easy to get this into D3:<\/p>\n
library(RJSONIO) \ntemp<-cbind(V(g)$name,V(g)$group)\ncolnames(temp)<-c(\"name\",\"group\")\njs1<-toJSON(temp)\nwrite.graph(g,\"\/tmp\/edgelist.csv\",format=\"edgelist\")\nedges<-read.csv(\"\/tmp\/edgelist.csv\",sep=\" \",header=F)\ncolnames(edges)<-c(\"source\",\"target\")\nedges<-as.matrix(edges)\njs2<-toJSON(edges)\nasn<-paste('{\"nodes\":',js1,',\"links\":',js2,'}',sep=\"\")\nwrite(asn,file=\"\/tmp\/asn.json\")<\/pre>\n
We can take the resulting asn.json<\/code> file and use it as a drop-in replacement for one of the example D3 force-directed layout building blocks<\/a> and produce this:<\/p>\n
\"Click<\/a>
Click for larger<\/p><\/div><\/center><\/p>\n
Rather than view a static image, you can view the resulting D3 visualization<\/a> (warning: it's fairly big).<\/p>\n
Both the conversion snippet and the D3 code can be easily tweaked to add more detail and be a tad more interactive\/informative, but I'm hoping this larger example provides further inspiration for folks looking to do computer network analysis & visualization with R and may also help some others build more linkages between R & D3.<\/p>\n","protected":false},"excerpt":{"rendered":"
The small igraph visualization in the previous post shows the basics of what you can do with the BulkOrigin & BulkPeer functions, and I thought a larger example with some basic D3 tossed in might be even more useful. Assuming you have the previous functions in your environment, the following builds a larger graph structure […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":true,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"activitypub_content_warning":"","activitypub_content_visibility":"","activitypub_max_image_attachments":3,"activitypub_interaction_policy_quote":"anyone","activitypub_status":"","footnotes":""},"categories":[666,678,673,674,3,91],"tags":[684],"class_list":["post-2046","post","type-post","status-publish","format-standard","hentry","category-d3","category-data-visualization","category-datavis-2","category-dataviz","category-information-security","category-r","tag-netintel"],"yoast_head":"\nExtended (Simple) ASN Graph Visualization Example [R to D3] - rud.is<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/rud.is\/b\/2013\/02\/08\/extended-simple-example-asn-graph-visualization-example-r-to-d3\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Extended (Simple) ASN Graph Visualization Example [R to D3] - rud.is\" \/>\n<meta property=\"og:description\" content=\"The small igraph visualization in the previous post shows the basics of what you can do with the BulkOrigin & BulkPeer functions, and I thought a larger example with some basic D3 tossed in might be even more useful. Assuming you have the previous functions in your environment, the following builds a larger graph structure […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/rud.is\/b\/2013\/02\/08\/extended-simple-example-asn-graph-visualization-example-r-to-d3\/\" \/>\n<meta property=\"og:site_name\" content=\"rud.is\" \/>\n<meta property=\"article:published_time\" content=\"2013-02-08T13:02:55+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2018-03-10T12:53:38+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/rud.is\/b\/wp-content\/uploads\/2013\/02\/vc_60-300x231.png\" \/>\n<meta name=\"author\" content=\"hrbrmstr\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"hrbrmstr\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/rud.is\\\/b\\\/2013\\\/02\\\/08\\\/extended-simple-example-asn-graph-visualization-example-r-to-d3\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/rud.is\\\/b\\\/2013\\\/02\\\/08\\\/extended-simple-example-asn-graph-visualization-example-r-to-d3\\\/\"},\"author\":{\"name\":\"hrbrmstr\",\"@id\":\"https:\\\/\\\/rud.is\\\/b\\\/#\\\/schema\\\/person\\\/d7cb7487ab0527447f7fda5c423ff886\"},\"headline\":\"Extended (Simple) ASN Graph Visualization Example [R to D3]\",\"datePublished\":\"2013-02-08T13:02:55+00:00\",\"dateModified\":\"2018-03-10T12:53:38+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/rud.is\\\/b\\\/2013\\\/02\\\/08\\\/extended-simple-example-asn-graph-visualization-example-r-to-d3\\\/\"},\"wordCount\":229,\"commentCount\":1,\"publisher\":{\"@id\":\"https:\\\/\\\/rud.is\\\/b\\\/#\\\/schema\\\/person\\\/d7cb7487ab0527447f7fda5c423ff886\"},\"image\":{\"@id\":\"https:\\\/\\\/rud.is\\\/b\\\/2013\\\/02\\\/08\\\/extended-simple-example-asn-graph-visualization-example-r-to-d3\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/rud.is\\\/b\\\/wp-content\\\/uploads\\\/2013\\\/02\\\/vc_60-300x231.png\",\"keywords\":[\"netintel\"],\"articleSection\":[\"d3\",\"Data Visualization\",\"DataVis\",\"DataViz\",\"Information Security\",\"R\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/rud.is\\\/b\\\/2013\\\/02\\\/08\\\/extended-simple-example-asn-graph-visualization-example-r-to-d3\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/rud.is\\\/b\\\/2013\\\/02\\\/08\\\/extended-simple-example-asn-graph-visualization-example-r-to-d3\\\/\",\"url\":\"https:\\\/\\\/rud.is\\\/b\\\/2013\\\/02\\\/08\\\/extended-simple-example-asn-graph-visualization-example-r-to-d3\\\/\",\"name\":\"Extended (Simple) ASN Graph Visualization Example [R to D3] - 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Click image for larger view This\u2026","rel":"","context":"In "Data Visualization"","block_context":{"text":"Data Visualization","link":"https:\/\/rud.is\/b\/category\/data-visualization\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":2123,"url":"https:\/\/rud.is\/b\/2013\/02\/20\/rnetintel-cross-check-apt-1s-ip-list-with-alienvault-reputation-db-some-graphsanalysis\/","url_meta":{"origin":2046,"position":1},"title":"R\/netintel : Cross-check APT-1’s IP list with AlienVault Reputation DB (+ some graphs\/analysis)","author":"hrbrmstr","date":"2013-02-20","format":false,"excerpt":"Here's a quick example of couple additional ways to use the netintel R package I've been tinkering with. 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