The graph represents a network of 6,824 Twitter users whose tweets in the requested range contained "(Cyber Security) OR Cybersecurity", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 20 October 2020 at 06:44 UTC.
The requested start date was Tuesday, 20 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 4-day, 0-hour, 41-minute period from Thursday, 15 October 2020 at 14:32 UTC to Monday, 19 October 2020 at 15:14 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 6824
Unique Edges : 5323
Edges With Duplicates : 11814
Total Edges : 17137
Number of Edge Types : 5
Retweet : 4560
MentionsInRetweet : 5863
Tweet : 3125
Replies to : 170
Mentions : 3419
Self-Loops : 3216
Reciprocated Vertex Pair Ratio : 0.0278046756121179
Reciprocated Edge Ratio : 0.0541049798115747
Connected Components : 1844
Single-Vertex Connected Components : 1093
Maximum Vertices in a Connected Component : 3293
Maximum Edges in a Connected Component : 12375
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.292125
Graph Density : 0.000159578516839893
Modularity : 0.4353
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 6,824 Twitter users whose tweets in the requested range contained "(Cyber Security) OR Cybersecurity", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 20 October 2020 at 06:44 UTC.
The requested start date was Tuesday, 20 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 4-day, 0-hour, 41-minute period from Thursday, 15 October 2020 at 14:32 UTC to Monday, 19 October 2020 at 15:14 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : (Cyber Security) OR Cybersecurity
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[857] cyber,security [384] awareness,month [302] #cybersecurity,#digital [290] gt,gt [253] #digital,#hackers [221] #cybersecurity,#infosec [216] #hackers,#infosec [213] #cybersecurity,#security [207] cybersecurity,awareness [175] national,security Top Word Pairs in Tweet in G1:
[135] cyber,security [110] awareness,month [62] cybersecurity,awareness [47] learn,more [46] personal,information [43] #cybersecurity,awareness [40] friends,family [40] suspicious,emails [39] month,great [39] great,time Top Word Pairs in Tweet in G2:
[82] #100daysofcode,#iot [53] #machinelearning,#bigdata [52] #python,#rstats [51] #cybersecurity,#infosec [46] #machinelearning,#ai [45] #bigdata,#iot [44] #100daysofcode,#machinelearning [42] #code,#coder [41] #javascript,#serverless [40] #iot,#python Top Word Pairs in Tweet in G3:
[271] #cybersecurity,#digital [235] #digital,#hackers [201] #hackers,#infosec [145] #infosec,reach2ratan [138] reach2ratan,#malware [134] #malware,#cloud [132] #cloud,#cloudsecurity [131] #cloudsecurity,#dataprotection [131] #dataprotection,#privacy [131] #privacy,#infosec Top Word Pairs in Tweet in G4:
[276] gt,gt [186] cyber,security [92] #cybersecurity,#security [67] check,gt [59] corixpartners,cyber [58] #ciso,#cio [38] three,golden [38] golden,rules [38] rules,suite [37] gt,corixpartners Top Word Pairs in Tweet in G5:
[18] awareness,month [15] cyber,security [12] month,toolkit [11] chance,check [11] check,cyber [11] cyber,month [11] toolkit,includes [11] includes,tip [11] tip,sheets [11] sheets,graphics Top Word Pairs in Tweet in G6:
[151] watch,today [151] today,00 [151] 00,pm [151] pm,department [151] department,justice [151] justice,hold [151] hold,virtual [151] virtual,press [151] press,conference [151] conference,national Top Word Pairs in Tweet in G7:
[75] cyber,security [73] awareness,month [73] security,awareness [69] national,cyber [67] month,ncsam [26] ncsam,2020 [19] infosecawa,national [15] indiancert,national [11] goi_meity,indiancert [10] ncsam,secretarymeity Top Word Pairs in Tweet in G8:
[6] excited,part [5] capital,#cybersecurity [5] #cybersecurity,summit [4] re,excited [4] part,#cyberweek [4] #cyberweek,register [4] register,runsafe [4] bash,10 [4] looking,forward [3] panel,discussion Top Word Pairs in Tweet in G9:
[7] insikt,group [7] group,indicates [7] indicates,notorious [7] notorious,developers [7] developers,sellers [7] sellers,banking [7] banking,web [7] web,injects [7] injects,#darkweb [7] stay,tuned Top Word Pairs in Tweet in G10:
[19] rudy,giuliani [19] giuliani,supposed [19] supposed,cybersecurity [19] cybersecurity,expert [19] expert,uploaded [19] uploaded,racist [19] racist,video [19] video,youtube [18] mashable,rudy [16] cybersecurity,breakthrough Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: