The graph represents a network of 4,086 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 January 2022 at 07:55 UTC.
The requested start date was Tuesday, 04 January 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, 1-hour, 36-minute period from Thursday, 30 December 2021 at 22:44 UTC to Tuesday, 04 January 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 : 4086
Unique Edges : 3369
Edges With Duplicates : 13843
Total Edges : 17212
Number of Edge Types : 5
Retweet : 5786
MentionsInRetweet : 7018
Tweet : 2526
Mentions : 1658
Replies to : 224
Self-Loops : 2626
Reciprocated Vertex Pair Ratio : 0.0077802476976818
Reciprocated Edge Ratio : 0.0154403655270206
Connected Components : 688
Single-Vertex Connected Components : 356
Maximum Vertices in a Connected Component : 2479
Maximum Edges in a Connected Component : 14879
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.08955
Graph Density : 0.000380257750889535
Modularity : 0.324882
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 4,086 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 January 2022 at 07:55 UTC.
The requested start date was Tuesday, 04 January 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, 1-hour, 36-minute period from Thursday, 30 December 2021 at 22:44 UTC to Tuesday, 04 January 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:
[658] job,sign [616] sign,free [572] need,job [478] #artificialintelligence,#machinelearning [457] free,middlemen [445] jobpreference,need [427] #infosec,#cybersecurity [424] middlemen,#job [415] cyber,security [362] #hclswlobp,#nocode Top Word Pairs in Tweet in G1:
[531] job,sign [496] sign,free [470] need,job [411] #artificialintelligence,#machinelearning [381] free,middlemen [354] middlemen,#job [344] jobpreference,need [328] #hclswlobp,#nocode [326] #javascript,#github [307] #github,#nodejs Top Word Pairs in Tweet in G2:
[73] #cybersecurity,#infosec [61] job,sign [58] #cybersecurity,#cyberattack [57] #infosec,#cybersecurity [55] sign,free [45] jobpreference,need [45] need,job [43] #cybersecurity,#security [37] cyber,security [34] free,charge Top Word Pairs in Tweet in G3:
[168] #cybersecurity,#infosec [139] #infosec,#cybersecurity [121] #infosec,#infosecurity [116] #infosecurity,#cybersecurity [113] #cybersecurity,#threatintel [92] #malware,#ransomware [90] #cybersecurity,#cyberattack [80] #threatintel,#threatintelligence [62] cyber,security [62] #threatintelligence,#hacking Top Word Pairs in Tweet in G4:
[48] cyber,security [28] still,using [28] using,facebook [28] facebook,messenger [28] messenger,check [28] check,reason [28] reason,stop [19] cybersecurity,recruitment [18] connecting,dots [18] dots,diversity Top Word Pairs in Tweet in G5:
[151] #infosec,#cybersecurity [96] #cybersecurity,#pentesting [92] #pentesting,#oscp [75] #oscp,#informationsecurity [63] #informationsecurity,#hacking [57] #hacking,#cissp [53] #cissp,#redteam [45] #cybersecurity,#cyberwarrior [45] hackers,part [44] credit,#infosec Top Word Pairs in Tweet in G6:
[57] interested,cybersecurity [57] cybersecurity,year [57] year,mutuals [57] mutuals,plan [57] plan,create [57] create,several [57] several,opportunities [57] opportunities,year [56] ireteeh,interested [28] incase,anyone Top Word Pairs in Tweet in G7:
[33] curated,list [31] 0xasm0d3us,curated [21] list,android [21] android,security [21] security,materials [21] materials,resources [21] resources,pentesters [21] pentesters,bug [21] bug,hunters [20] hunters,#androi Top Word Pairs in Tweet in G8:
[106] support,services [106] referred,cyber_link_security [106] cyber_link_security,links_assist [106] links_assist,instagram [55] snapchat,deleted [55] deleted,reason [55] reason,support [55] services,didn [55] didn,noting [55] noting,until Top Word Pairs in Tweet in G9:
[15] ronald_vanloon,#citrixpartner [12] #citrixpartner,citrix [12] ronald_vanloon,thomas_harrer [12] thomas_harrer,discover [12] discover,more [7] citrix,#daas [7] #data,strategy [7] strategy,smbs [7] smbs,optimizing [7] optimizing,data Top Word Pairs in Tweet in G10:
[40] #cybersecurity,#infosec [22] pretty,much [22] much,#cybersecurity [21] shad0wbits,pretty [17] focus,mastering [17] mastering,basics [17] basics,before [17] before,spending [17] spending,money [17] money,fancy Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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 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:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: