The graph represents a network of 6,218 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, 29 November 2022 at 07:41 UTC.
The requested start date was Tuesday, 29 November 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 4-day, 2-hour, 36-minute period from Thursday, 24 November 2022 at 21:44 UTC to Tuesday, 29 November 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 : 6218
Unique Edges : 3746
Edges With Duplicates : 11921
Total Edges : 15667
Number of Edge Types : 5
Retweet : 4868
MentionsInRetweet : 5803
Mentions : 1847
Tweet : 2872
Replies to : 277
Self-Loops : 3058
Reciprocated Vertex Pair Ratio : 0.0135972201238858
Reciprocated Edge Ratio : 0.0268296318378298
Connected Components : 1461
Single-Vertex Connected Components : 852
Maximum Vertices in a Connected Component : 3344
Maximum Edges in a Connected Component : 11617
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.614704
Graph Density : 0.000173550634904564
Modularity : 0.424311
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 6,218 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, 29 November 2022 at 07:41 UTC.
The requested start date was Tuesday, 29 November 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 4-day, 2-hour, 36-minute period from Thursday, 24 November 2022 at 21:44 UTC to Tuesday, 29 November 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:
[1423] cyber,security [771] data,breach [744] chad,loder [743] millions,chad [743] loder,founder [743] twitter,accused [743] affects,millions [743] founder,cyber [743] accused,covering [743] covering,data Top Word Pairs in Tweet in G1:
[408] #infosec,#cybersecurity [252] #bigdata,#analytics [238] #pentesting,#oscp [195] #cybersecurity,#bigdata [188] cheat,sheet [185] #machinelearning,#datascience [172] #python,#rstats [162] #analytics,#ai [161] #iot,#iiot [149] #cybersecurity,#cybersecuritytips Top Word Pairs in Tweet in G2:
[162] cyber,security [25] learn,more [24] cyber,monday [24] cyber,attacks [23] black,friday [19] small,businesses [19] #cybersecurity,#infosec [18] strengthen,cybersecurity [18] zero,trust [17] cybersecurity,company Top Word Pairs in Tweet in G3:
[743] data,breach [742] breach,affects [742] chad,loder [742] founder,cyber [742] covering,data [742] millions,chad [742] affects,millions [742] twitter,accused [742] cyber,security [742] accused,covering Top Word Pairs in Tweet in G4:
[34] #cybersecurity,#cyberwarrior [32] #cybersecurity,#infosec [27] #infosec,#infosecjobs [25] #infosecjobs,#cybersecurity [24] #infosec,#cybersecurity [22] scada,ics [20] #cybersecurity,#jobsearch [20] #hiringnow,#cybercareer [20] #jobsearch,#hiringnow [19] #pentesting,#cybersecurity Top Word Pairs in Tweet in G5:
[54] 16,platforms [54] here's,16 [54] cybersecurity,here's [54] 21,messages [54] yesterday,received [54] messages,asking [54] started,cybersecurity [54] received,21 [54] platforms,learn [54] asking,started Top Word Pairs in Tweet in G6:
[25] assignment,help [25] quality,assignment [25] exams,homework [23] essay,pay [23] ecology,anatomy [23] pay,exams [23] classes,ecology [23] help,essay [23] biology,chemistry [23] homework,biology Top Word Pairs in Tweet in G7:
[135] cyber,security [120] watch,youtube [120] security,watch [120] youtube,videos [120] job,cyber [119] chrisstaud,job [9] crash,course [5] chrisstaud,cyber [5] security,crash [4] beginners,good Top Word Pairs in Tweet in G8:
[23] day,#vulnerability [23] zero,day [23] browser,patch [23] update,#chrome [23] actively,exploited [23] #chrome,browser [23] #vulnerability,cve [23] released,update [23] #google,released [23] exploited,zero Top Word Pairs in Tweet in G9:
[15] #cybersecurity,#digitaltransformation [11] #datascience,#faang [11] #digitaltransformation,#cyberattack [11] #cyberattack,#privacy [11] #technology,#blockchain [11] #tech,#technology [11] #bigtech,#tech [11] #privacy,#dataprotection [11] #dataprotection,#datascience [11] #faang,#bigtech Top Word Pairs in Tweet in G10:
[41] 500,million [22] million,user [22] records,sale [22] user,records [22] actor,told [22] #dataleak,500 [22] #whatsapp,#dataleak [21] read,more [20] selling,#us [20] #us,#dataset Top Replied-To in Entire Graph:
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Top Replied-To in G4:
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Top Replied-To in G6:
Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: