def makeGexf(): raw_file_name = "gexf_format_test.csv" #raw_file_name = "HKALL_tags_RT10count.csv" gexf = Gexf("Ching-Ya Lin", "Keyword relation by hours.") graph = gexf.addGraph("undirected", "dynamic", "graph!", "datetime") wid = graph.addNodeAttribute("Weight", "1", "integer", "dynamic") ewid = graph.addEdgeAttribute("EdgeWeight", "1", "integer", "dynamic") if (1): f = codecs.open(raw_file_name, "r", "utf-8") #with open(raw_file_name, 'r') as f: reader = csv.reader(f) w_d = defaultdict() #weight_dictionary for all keywords e_w_d = defaultdict() #edge for row in reader: #row = [x.decode('utf8') for x in rowx] tt = time.strptime(row[0], "%Y-%m-%d %H") rtt = time.strftime("%Y-%m-%d %H:00:00", tt) words = row[1].split('/') templist = [] #one row list to help addEdge for w in words: # useless : w = w.encode('utf8') #print w #print chardet.detect(w) templist.append(w) if graph.nodeExists(w): n = graph.nodes[w] v = w_d[w] + 1 #v = int(n.attributes[int(wid)]["value"]) #n.attributes will get the initial value which we don't want. n.addAttribute(wid, str(v), rtt) w_d[w] = v else: new = graph.addNode(w, w, rtt) new.addAttribute(wid, "1", rtt) w_d[w] = 1 for w1 in templist: for w2 in templist: if w1 != w2: s1 = w1 + w2 s2 = w2 + w1 if graph.edgeExists(s1): e = graph.edges[s1] val = e_w_d[s1] + 1 e.addAttribute(ewid, str(val), rtt) e_w_d[s1] = val elif graph.edgeExists(s2): e = graph.edges[s2] val = e_w_d[s2] + 1 e.addAttribute(ewid, str(val), rtt) e_w_d[s2] = val else: enew = graph.addEdge(s1, w1, w2, 1, rtt) enew.addAttribute(ewid, "1", rtt) e_w_d[s1] = 1 templist.remove(w1) output_file = open("eventhr.gexf", "w") gexf.write(output_file)
def __init__(self, input_file, version, cloud_storage_client, creator, name): self.version = version self.input_file = input_file self.cloud_storage_client = cloud_storage_client self.gexf = Gexf(creator, name) self.graph = self.gexf.addGraph("directed", "static", name)
#!/usr/bin/python import sys, pprint sys.path.append('../gexf') from _gexf import Gexf, GexfImport # test helloworld.gexf gexf = Gexf("Paul Girard", "A hello world! file") graph = gexf.addGraph("directed", "static", "a hello world graph") graph.addNode("0", "hello") graph.addNode("1", "World") graph.addEdge("0", "0", "1") output_file = open("helloworld.gexf", "w") gexf.write(output_file) # test GexfImport f = open("gexf.net.dynamics_openintervals.gexf") gexf_import = Gexf.importXML(f) f.close() f = open("gexf.net.dynamics_openintervals.gexf") gexf_import2 = Gexf.importXML(f) f.close() print "test gexf comparision " + str(gexf_import == gexf_import2) graph = gexf_import.graphs[0] # display nodes list for node_id, node in graph.nodes.iteritems(): print node.label
endtime = time.strptime("20131014080000","%Y%m%d%H%M%S") # event type matching the @type to be returned from elasticsearch evttype = "apache-access" # field and time period to be used for edge detection relatedfield = "clientip" relatetimeout = 5 # debug messages ? verbose = True # create the graph gexf = Gexf("es2gexf","logstash graph") graph=gexf.addGraph("directed","dynamic","logstash graph","dateTime") # define the node attributes in the graph attrType = graph.addNodeAttribute("type", "null", "String","static","type") attrMessage = graph.addNodeAttribute("message", "null", "String","static","message") attrSource_host = graph.addNodeAttribute("source_host", "null", "String","static","source_host") attrSource_path = graph.addNodeAttribute("source_path", "null", "String","static","source_path") attrClientip = graph.addNodeAttribute("clientip", "null", "String","static","clientip") attrVerb = graph.addNodeAttribute("verb", "null", "String","static","verb") attrResponse = graph.addNodeAttribute("response", "null", "integer","static","response") attrRequest = graph.addNodeAttribute("request", "null", "String","static","request") attrBytes = graph.addNodeAttribute("bytes", "null", "integer","static","bytes") attrAgent = graph.addNodeAttribute("agent", "null", "String","static","agent") attrReferrer = graph.addNodeAttribute("referrer", "null", "String","static","referrer")
# # gexf_converter - A part of PPAS implementation # Convert the Apriori results into gexf format. # # Code written by Xander Wang on 17th April, 2018. # # Institute of Distributed Computing, Chuzhou University. from _gexf import Gexf # test helloworld.gexf gexf = Gexf("Gephi.org", "A Web network") graph = gexf.addGraph("directed", "static", "A Web network") atr1 = graph.addNodeAttribute('url', type='string') atr2 = graph.addNodeAttribute('indegree', type='float') atr3 = graph.addNodeAttribute('frog', type='boolean', defaultValue='true') tmp = graph.addNode("0", "Gephi") tmp.addAttribute(atr1, "http://gephi.org") tmp.addAttribute(atr2, '1') tmp = graph.addNode("1", "Webatlas") tmp.addAttribute(atr1, "http://webatlas.fr") tmp.addAttribute(atr2, '2') tmp = graph.addNode("2", "RTGI") tmp.addAttribute(atr1, "http://rtgi.fr") tmp.addAttribute(atr2, '1') tmp = graph.addNode("3", "BarabasiLab")