The graph represents a network of 4,821 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, 22 February 2022 at 07:44 UTC.
The requested start date was Tuesday, 22 February 2022 at 01:01 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 2-day, 1-hour, 31-minute period from Saturday, 19 February 2022 at 22:49 UTC to Tuesday, 22 February 2022 at 00:21 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 : 4821
Unique Edges : 3069
Edges With Duplicates : 14442
Total Edges : 17511
Number of Edge Types : 5
Retweet : 6294
MentionsInRetweet : 7643
Mentions : 1433
Tweet : 1959
Replies to : 182
Self-Loops : 2055
Reciprocated Vertex Pair Ratio : 0.00785911803230971
Reciprocated Edge Ratio : 0.0155956678700361
Connected Components : 628
Single-Vertex Connected Components : 297
Maximum Vertices in a Connected Component : 2312
Maximum Edges in a Connected Component : 13410
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 3.941496
Graph Density : 0.00029801327353272
Modularity : 0.350579
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 4,821 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, 22 February 2022 at 07:44 UTC.
The requested start date was Tuesday, 22 February 2022 at 01:01 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 2-day, 1-hour, 31-minute period from Saturday, 19 February 2022 at 22:49 UTC to Tuesday, 22 February 2022 at 00:21 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:
[736] cybersecurity,expert [716] michael,owens [715] secretary,state [715] marine,corps [714] owens,democrat [714] democrat,running [714] running,secretary [714] state,georgia [714] georgia,marine [714] corps,vet Top Word Pairs in Tweet in G1:
[390] #infosec,#cybersecurity [292] #machinelearning,#ai [237] #python,#nodejs [225] know,more [217] #cybersecurity,#pentesting [209] sign,free [205] #pentesting,#oscp [190] #100daysofcode,#datascience [188] #ai,#python [188] jobpreference,need Top Word Pairs in Tweet in G2:
[714] cybersecurity,expert [712] michael,owens [712] owens,democrat [712] democrat,running [712] running,secretary [712] secretary,state [712] state,georgia [712] georgia,marine [712] marine,corps [712] corps,vet Top Word Pairs in Tweet in G3:
[52] #cybersecurity,#infosec [32] cyber,security [20] #infosec,#cybersecurity [19] #cybersecurity,#feedly [19] #sansnewsbites,#cybersecurity [19] #cybersecurity,#automated [17] list,free [17] #infosecurity,#cybersecurity [16] #cybersecurity,#security [16] #infosec,#infosecurity Top Word Pairs in Tweet in G4:
[579] ui,ux [279] learn,unlearn [279] unlearn,relearn [279] relearn,ui [279] ux,ui [279] ux,pmp [278] baba_omoloro,learn [21] tech,skills [21] skills,demand [21] demand,2022 Top Word Pairs in Tweet in G5:
[51] cyber,security [38] cybersecurity,threat [38] threat,spotlight [38] spotlight,emotet [38] emotet,redline [38] redline,stealer [38] stealer,magnat [38] magnat,backdoor [8] क,ल [8] free,cybersecurity Top Word Pairs in Tweet in G6:
[37] gt,gt [24] #cio,#cto [22] #ciso,#cio [17] amount,time [17] time,needed [17] needed,brute [17] brute,force [17] force,attack [17] attack,password [17] password,#cybersecurity Top Word Pairs in Tweet in G7:
[39] gt,gt [17] gt,#cybersecurity [16] gt,read [14] free,cybersecurity [11] help,organizations [11] bad,practice [11] practice,alert [11] alert,using [11] using,end [11] end,life Top Word Pairs in Tweet in G8:
[120] gave,kred [120] kred,#influence [80] #ai,#ml [74] eli_krumova,gave [72] #ml,#iot [72] #womeninstem,#womenintech [65] #iot,#iiot [39] #stem,#womeninstem [33] #dei,#womenempowerment [30] #womenintech,#ai Top Word Pairs in Tweet in G9:
[68] nicoleperlroth,cybersecurity [67] here's,conversation [67] conversation,nicoleperlroth [67] cybersecurity,cyberwar [67] cyberwar,extremely [67] extremely,important [67] important,topic [67] topic,future [66] lexfridman,here's [10] before,united Top Word Pairs in Tweet in G10:
[64] cyber,security [62] suspected,explains [62] explains,poland [62] poland,gone [62] gone,highest [62] highest,alert [62] alert,level [62] level,cyber [62] security,charlie [62] charlie,crp 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 G6:
Top Replied-To in G9:
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 G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: