The graph represents a network of 3,319 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 Monday, 08 November 2021 at 18:51 UTC.
The requested start date was Monday, 08 November 2021 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 1-day, 22-hour, 8-minute period from Friday, 05 November 2021 at 22:57 UTC to Sunday, 07 November 2021 at 21:06 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 : 3319
Unique Edges : 2382
Edges With Duplicates : 13495
Total Edges : 15877
Number of Edge Types : 5
Mentions : 2039
Replies to : 589
Retweet : 5407
MentionsInRetweet : 5899
Tweet : 1943
Self-Loops : 2091
Reciprocated Vertex Pair Ratio : 0.0389112166605773
Reciprocated Edge Ratio : 0.0749076841920169
Connected Components : 302
Single-Vertex Connected Components : 160
Maximum Vertices in a Connected Component : 2727
Maximum Edges in a Connected Component : 15114
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.558492
Graph Density : 0.00051641588668526
Modularity : 0.307346
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 3,319 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 Monday, 08 November 2021 at 18:51 UTC.
The requested start date was Monday, 08 November 2021 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 1-day, 22-hour, 8-minute period from Friday, 05 November 2021 at 22:57 UTC to Sunday, 07 November 2021 at 21:06 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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[572] #cybersecurity,#infosec [415] #programming,#codenewbie [409] #infosec,#infosecurity [398] #codenewbie,#python [391] #infosec,#cybersecurity [352] #python,#reactjs [334] #infosecurity,#cybersecurity [304] #reactjs,#bugbounty [288] #cybersecurity,#cybersecuritytips [285] #infosec,#ethicalhacking Top Word Pairs in Tweet in G1:
[450] #cybersecurity,#infosec [414] #programming,#codenewbie [397] #codenewbie,#python [366] #infosec,#infosecurity [351] #python,#reactjs [303] #reactjs,#bugbounty [298] #infosecurity,#cybersecurity [288] #cybersecurity,#cybersecuritytips [279] #cybersecuritytips,#cybersecuritynews [278] #infosec,#ethicalhacking Top Word Pairs in Tweet in G2:
[42] ultraloveninja,alyssam_infosec [40] _joesullivan,shawk670 [38] retweetablen14,medus4_cdc [38] skylertuter,_joesullivan [37] hailnolly,retweetablen14 [36] shawk670,iancoldwater [35] hey,#infosec [34] blenster,hailnolly [32] alyssam_infosec,jesstheunstill [32] #infosec,n00bs Top Word Pairs in Tweet in G3:
[94] #infosec,#cybersecurity [50] hackers,part [44] reverse,engineering [42] basics,hackers [40] open,source [40] #cybersecurity,#redteam [39] #redteam,#pentest [34] getting,started [34] #infosec,#cybersecur [33] mobile,app Top Word Pairs in Tweet in G4:
[17] #cybersecurity,#infosec [10] bug,bounty [10] bounty,article [10] article,tags [10] tags,infosec [10] infosec,cybersecurity [10] cybersecurity,hacking [10] hacking,hacker [10] hacker,security [10] security,ethicalhacking Top Word Pairs in Tweet in G5:
[46] #infosec,#blueteam [44] #blueteam,#redteam [43] blue,team [43] team,fundamentals [43] fundamentals,part [43] part,two [43] two,windows [43] windows,processes [43] processes,#infosec [42] cyberwarship,blue Top Word Pairs in Tweet in G6:
[55] end,year [55] year,fast [55] fast,approaching [55] approaching,love [55] love,help [55] help,someone [55] someone,#infosec [55] #infosec,re [55] re,holding [54] infosectogether,end Top Word Pairs in Tweet in G7:
[66] people,infosec [44] infosec,need [33] need,skills [33] skills,people [33] infosec,job [33] job,title [33] title,task [32] infosec_taylor,people [28] succeed,infosec [26] swiftonsecurity,succeed Top Word Pairs in Tweet in G8:
[99] hackinarticles,best [45] tutorials,part [29] best,oscp [29] oscp,tutorials [27] best,nmap [27] nmap,scan [27] scan,part [22] best,burpsuite [22] burpsuite,tutorials [18] best,active Top Word Pairs in Tweet in G9:
[34] those,experts [34] experts,infosec [34] infosec,became [34] became,experts [34] experts,election [34] election,security [34] security,experts [34] experts,epidemiology [33] evacide,those [33] epidemiology,experts Top Word Pairs in Tweet in G10:
[55] #infosec,meme [55] meme,thread [55] thread,#cybersecurity [55] #cybersecurity,friends [54] wehackpurple,#infosec [12] make,start [12] start,infosec [12] infosec,take [12] take,look [12] look,following Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: