The graph represents a network of 2,827 Twitter users whose tweets in the requested range contained "infosec", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 14 November 2019 at 17:37 UTC.
The requested start date was Monday, 11 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 19-hour, 43-minute period from Sunday, 10 November 2019 at 05:17 UTC to Monday, 11 November 2019 at 01:01 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 : 2827
Unique Edges : 4088
Edges With Duplicates : 3353
Total Edges : 7441
Number of Edge Types : 3
Tweet : 1681
Mentions : 5413
Replies to : 347
Self-Loops : 1681
Reciprocated Vertex Pair Ratio : 0.0307142857142857
Reciprocated Edge Ratio : 0.0595980595980596
Connected Components : 383
Single-Vertex Connected Components : 169
Maximum Vertices in a Connected Component : 1915
Maximum Edges in a Connected Component : 6478
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.048808
Graph Density : 0.000541863153080284
Modularity : 0.485272
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 2,827 Twitter users whose tweets in the requested range contained "infosec", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 14 November 2019 at 17:37 UTC.
The requested start date was Monday, 11 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 19-hour, 43-minute period from Sunday, 10 November 2019 at 05:17 UTC to Monday, 11 November 2019 at 01:01 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 : infosec
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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[542] #cybersecurity,#infosec [402] #infosec,#cybersecurity [351] #cyberwarfare,#infosec [231] gt,gt [192] #cybersecurity,#databreach [139] cybertoolsbooks,#cyberwarfare [122] cyber,security [111] #security,#infosec [100] #infosec,#hacking [95] #infosec,#security Top Word Pairs in Tweet in G1:
[344] #cyberwarfare,#infosec [331] #cybersecurity,#infosec [312] #infosec,#cybersecurity [146] #cybersecurity,#databreach [134] cybertoolsbooks,#cyberwarfare [105] gt,gt [88] #security,#cybersecurity [81] #hackers,#infosec [77] #databreach,#hackers [65] #cybersecurity,#cyberattack Top Word Pairs in Tweet in G2:
[58] name,fourth [34] mother,4 [34] 4,sons [34] sons,north [34] north,west [34] west,south [34] south,name [34] fourth,reply [33] someone's,mother [33] reply,post Top Word Pairs in Tweet in G3:
[72] emails,paste [65] passwords,emails [32] #cybersecurity,#databreach [32] #databreach,#infosec [30] #cybersecurity,#infosec [28] #infosec,#leak [28] #leak,#breach [20] important,dump [14] daily,#cybersecurity [12] massive,dump Top Word Pairs in Tweet in G4:
[36] aspiring,#infosec [36] #infosec,little [36] little,experience [36] experience,college [36] college,grad [36] grad,feel [36] feel,free [35] maru37,aspiring [35] free,reply [35] reply,dm Top Word Pairs in Tweet in G5:
[64] #infosec,#pentest [41] #pentest,#redteam [38] extracting,ssh [38] ssh,private [38] private,keys [38] keys,windows [38] windows,10 [38] 10,ssh [38] ssh,agent [38] agent,#infosec Top Word Pairs in Tweet in G6:
[14] rayredacted,cillic [13] accidentalciso,jaysonstreet [12] cillic,ethicalhacker [12] ethicalhacker,blenster [12] blenster,beerbikesbacon [12] beerbikesbacon,accidentalciso [12] j_opdenakker,jwgoerlich [11] jaysonstreet,j_opdenakker [11] jwgoerlich,phillipwylie [9] alyssam_infosec,rayredacted Top Word Pairs in Tweet in G7:
[120] gt,gt [40] #cybersecurity,#infosec [36] infographic,#cybersecurity [25] #cybersecurity,#iot [23] need,#security [23] #security,strategy [23] strategy,transformation [23] transformation,infographic [23] #infosec,#smb [23] #smb,#sme Top Word Pairs in Tweet in G8:
[15] #it,#tech [13] #tech,#linux [12] really,recommend [12] recommend,stuff [12] open,source [12] source,tool [12] tool,help [12] help,build [12] build,valid [12] valid,ssl Top Word Pairs in Tweet in G9:
[33] official,m [33] m,malware [33] malware,finally [33] finally,sale [33] sale,amazon [33] amazon,amazing [33] amazing,journey [33] journey,supported [32] curtbraz,official [16] infosec,twitter Top Word Pairs in Tweet in G10:
[55] trinityresists,don [55] don,t [55] t,even [55] even,try [55] try,hide [55] hide,anymore [55] anymore,plus [55] plus,white [55] white,house [55] house,cyber Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: