The graph represents a network of 5,129 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, 01 June 2021 at 06:45 UTC.
The requested start date was Tuesday, 01 June 2021 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 2-day, 2-hour, 7-minute period from Saturday, 29 May 2021 at 21:53 UTC to Tuesday, 01 June 2021 at 00:01 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 : 5129
Unique Edges : 4753
Edges With Duplicates : 14689
Total Edges : 19442
Number of Edge Types : 5
Mentions : 2185
Retweet : 5846
MentionsInRetweet : 8776
Tweet : 2363
Replies to : 272
Self-Loops : 2482
Reciprocated Vertex Pair Ratio : 0.00752410063484599
Reciprocated Edge Ratio : 0.0149358226371062
Connected Components : 657
Single-Vertex Connected Components : 329
Maximum Vertices in a Connected Component : 3612
Maximum Edges in a Connected Component : 17306
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.710758
Graph Density : 0.000325836780790397
Modularity : 0.370713
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 5,129 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, 01 June 2021 at 06:45 UTC.
The requested start date was Tuesday, 01 June 2021 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 2-day, 2-hour, 7-minute period from Saturday, 29 May 2021 at 21:53 UTC to Tuesday, 01 June 2021 at 00:01 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:
[426] cyber,security [390] #bigdata,#analytics [378] #analytics,#datascience [378] few,weeks [374] remember,wrote [374] wrote,few [374] weeks,ago [374] ago,dallas [374] dallas,epicenter [374] epicenter,insurrection Top Word Pairs in Tweet in G1:
[365] #bigdata,#analytics [359] #analytics,#datascience [355] #datascience,#ai [346] #ai,#machinelearning [308] #cybersecurity,#bigdata [303] #machinelearning,#iot [303] #iot,#iiot [259] search,good [258] good,#cybersecurity [241] #iiot,#python Top Word Pairs in Tweet in G2:
[261] #cybersecurity,#infosec [170] #cybersecurity,#cyberattack [121] #hacking,#cybersecurity [119] #microsoft,#hacking [106] #infosec,#cybersecurity [69] #security,#cybersecurity [68] #cybersecurity,#security [64] cyber,security [48] #cybersecurity,#malware [46] #informationsecurity,#security Top Word Pairs in Tweet in G3:
[369] remember,wrote [369] wrote,few [369] few,weeks [369] weeks,ago [369] ago,dallas [369] dallas,epicenter [369] epicenter,insurrection [369] insurrection,dallas [369] dallas,key [368] sethabramson,remember Top Word Pairs in Tweet in G4:
[68] cyber,security [27] cybersecurity,attack [25] meat,supplier [22] largest,meat [21] attack,hits [14] organized,cybersecurity [14] hits,world [14] world,largest [13] supplier,report [9] link,bio Top Word Pairs in Tweet in G5:
[18] gt,gt [6] technologies,2021 [6] 2021,created [6] created,unfoldlabs [6] unfoldlabs,jblefevre60 [6] jblefevre60,#ai [6] #ai,#ml [6] #ml,#bigdata [6] #bigdata,#iot [6] #iot,#xr Top Word Pairs in Tweet in G6:
[27] hours,training [25] fedvte,offers [25] offers,free [25] free,virtual [25] virtual,cybersecurity [25] cybersecurity,training [25] training,military [25] military,#veterans [25] #veterans,over [25] over,800 Top Word Pairs in Tweet in G7:
[39] over,years [39] years,lot [39] lot,people [39] people,told [39] told,themselves [39] themselves,thinking [39] thinking,insultive [39] insultive,stunt [39] stunt,incredible [38] swiftonsecurity,over Top Word Pairs in Tweet in G8:
[33] russian,hacks [33] hacks,spark [33] spark,calls [33] calls,tougher [33] tougher,biden [33] biden,actions [30] thehill,russian [29] treasury,sec [29] sec,janet [29] janet,yellen Top Word Pairs in Tweet in G9:
[55] meat,supplier [55] cybersecurity,attack [47] holy,hamburger [46] teapainusa,holy [33] jbs,world [33] world,biggest [33] biggest,meat [33] supplier,targeted [33] targeted,cybersecurity [33] attack,shut Top Word Pairs in Tweet in G10:
[38] #cybersecurity,#devops [28] conste11ation,dag [24] #devops,#machinelearning [24] #machinelearning,#ai [22] #opensource,#the404code [22] #the404code,#bigdata [21] #bigdata,#healthiswealth [21] #web3,#edgecomputing [21] #edgecomputing,#iot [20] #healthiswealth,#cybersecurity Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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 G10: