The graph represents a network of 5,066 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, 04 October 2022 at 06:41 UTC.
The requested start date was Tuesday, 04 October 2022 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, 2-minute period from Saturday, 01 October 2022 at 21:58 UTC to Tuesday, 04 October 2022 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 : 5066
Unique Edges : 3334
Edges With Duplicates : 13101
Total Edges : 16435
Number of Edge Types : 5
Retweet : 5583
MentionsInRetweet : 6548
Mentions : 1749
Tweet : 2287
Replies to : 268
Self-Loops : 2441
Reciprocated Vertex Pair Ratio : 0.0109348529185276
Reciprocated Edge Ratio : 0.0216331505179768
Connected Components : 1033
Single-Vertex Connected Components : 508
Maximum Vertices in a Connected Component : 2479
Maximum Edges in a Connected Component : 12469
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.30103
Graph Density : 0.000255813781285453
Modularity : 0.381675
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 5,066 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, 04 October 2022 at 06:41 UTC.
The requested start date was Tuesday, 04 October 2022 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, 2-minute period from Saturday, 01 October 2022 at 21:58 UTC to Tuesday, 04 October 2022 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:
[727] cyber,security [565] #machinelearning,#datascience [555] awareness,month [539] #infosec,#cybersecurity [522] #cybersecurity,#bigdata [492] cybersecurity,awareness [441] #bigdata,#analytics [420] #analytics,#ai [386] #pentesting,#oscp [384] #sql,#cybersecurity Top Word Pairs in Tweet in G1:
[550] #machinelearning,#datascience [505] #cybersecurity,#bigdata [427] #bigdata,#analytics [407] #analytics,#ai [371] #sql,#cybersecurity [370] #datascience,#sql [355] #ai,#iiot [299] #datascience,#neuralnetworks [296] #iiot,#python [274] #python,#rstats Top Word Pairs in Tweet in G2:
[90] cyber,security [87] awareness,month [76] cybersecurity,awareness [26] october,cybersecurity [18] #cybersecurity,#infosec [18] learn,more [17] safe,online [17] #cybersecurity,#security [17] security,awareness [17] bachelor,science Top Word Pairs in Tweet in G3:
[292] #infosec,#cybersecurity [287] #pentesting,#oscp [191] #cybersecurity,#pentesting [115] #cybersecurity,#cybersecuritytips [114] #cybersecuritytips,#pentesting [114] #oscp,#redteam [113] #redteam,#informationsecurity [103] #oscp,#informationsecurity [103] credit,#infosec [100] #informationsecurity,#cissp Top Word Pairs in Tweet in G4:
[147] cyber,security [143] data,analysis [141] analysis,cyber [140] ui,ux [139] interested,learning [139] learning,skills [139] skills,ui [139] ux,design [139] design,project [139] project,management Top Word Pairs in Tweet in G5:
[91] visionary,impraveendalal [43] impraveendalal,2011 [38] suggested,visionary [34] #digitalindia,#cybersecurity [30] #cybersecurity,#cyberlaw [28] congress,bjp [25] #cyberlaw,#cyberwar [24] opined,visionary [22] policy,india [21] #cyberwarfare,capabilities Top Word Pairs in Tweet in G6:
[76] awareness,month [70] cybersecurity,awareness [52] rgb_lights,cybersecurity [15] cyber,security [9] year,#cybersecurityawarenessmonth [9] #cybersecurityawarenessmonth,presents [9] presents,opportunity [9] opportunity,highlight [9] highlight,importance [9] importance,cybersecurity Top Word Pairs in Tweet in G7:
[126] officially,done [126] done,school [126] school,bachelors [126] bachelors,degree [126] degree,computer [126] computer,information [126] information,science [126] science,major [126] major,cyber [125] mrtdjames92,officially Top Word Pairs in Tweet in G8:
[98] feel,really [98] really,bad [98] bad,smg4 [98] smg4,server [98] server,getting [98] getting,completely [98] completely,destroyed [98] destroyed,fm54321 [98] fm54321,building [98] building,server Top Word Pairs in Tweet in G9:
[41] #cybersecurity,#infosec [23] #news,#cybersecurity [16] cybersecurity,awareness [16] awareness,month [14] cyber,security [8] covid,19 [8] #infosec,#cybersecurity [8] #datascience,#neuralnetworks [7] #neuralnetworks,#ethicalhacking [7] month,explore Top Word Pairs in Tweet in G10:
[11] reddit,cybersecurity [11] cybersecurity,hosting [11] hosting,ask [11] ask,anything [11] anything,several [11] several,prominent [11] prominent,cisos [11] cisos,women [11] women,wanna [10] gt,gt Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
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:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: