The graph represents a network of 4,136 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, 17 August 2020 at 16:19 UTC.
The requested start date was Monday, 17 August 2020 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 1-day, 23-hour, 6-minute period from Thursday, 13 August 2020 at 10:38 UTC to Saturday, 15 August 2020 at 09:45 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 : 4136
Unique Edges : 3699
Edges With Duplicates : 12693
Total Edges : 16392
Number of Edge Types : 5
Tweet : 2510
Retweet : 4832
MentionsInRetweet : 6253
Mentions : 2464
Replies to : 333
Self-Loops : 2561
Reciprocated Vertex Pair Ratio : 0.0362671384343211
Reciprocated Edge Ratio : 0.069995731967563
Connected Components : 653
Single-Vertex Connected Components : 410
Maximum Vertices in a Connected Component : 3053
Maximum Edges in a Connected Component : 14888
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.15086
Graph Density : 0.000410995909336489
Modularity : 0.355025
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 4,136 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, 17 August 2020 at 16:19 UTC.
The requested start date was Monday, 17 August 2020 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 1-day, 23-hour, 6-minute period from Thursday, 13 August 2020 at 10:38 UTC to Saturday, 15 August 2020 at 09:45 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:
[856] #cybersecurity,#infosec [509] #infosec,#cybersecurity [351] #infosec,#hacking [258] #hacking,#hackers [213] #infosec,#security [176] #hackers,#pentesting [134] #infosec,#infosecurity [130] #bugbounty,#bugbountytips [125] #infosec,#osint [125] open,source Top Word Pairs in Tweet in G1:
[519] #cybersecurity,#infosec [251] #infosec,#cybersecurity [238] #infosec,#hacking [175] #infosec,#security [163] #hacking,#hackers [128] #infosec,#infosecurity [105] read,more [104] #hackers,#pentesting [79] open,source [71] see,more Top Word Pairs in Tweet in G2:
[68] cve,2020 [42] #cybersecurity,#infosec [32] sensitive,information [31] image,automatically [31] automatically,downloaded [31] downloaded,image [31] image,contains [31] contains,sensitive [18] #infosec,#cybersecurity [13] products,week Top Word Pairs in Tweet in G3:
[23] nikkimjc,p1nt1nh0 [22] jake_mooreuk,_mormaid [22] bentleyaudrey,alyssam_infosec [22] nerdshinobe,d0rkph0enix [22] d0rkph0enix,cybergibbons [21] p1nt1nh0,funsox [20] sxcsoho,nikkimjc [20] theluckymon,jake_mooreuk [20] _mormaid,g1nge98 [20] spookphia,bentleyaudrey Top Word Pairs in Tweet in G4:
[90] great,everyone [90] everyone,infosec [90] infosec,little [90] little,better [90] better,recognizing [90] recognizing,patterns [90] patterns,abuse [90] abuse,stalking [89] hacks4pancakes,great [89] stalking,30 Top Word Pairs in Tweet in G5:
[63] #cybersecurity,#infosec [31] phone,calls [30] decrypt,volte [29] explained,hackers [29] hackers,remotely [29] remotely,decrypt [29] volte,#encryption [29] #encryption,eavesdrop [29] eavesdrop,targeted [29] targeted,phone Top Word Pairs in Tweet in G6:
[88] #bossofthesoc,virtual [88] virtual,machine [84] machine,released [84] released,versions [84] versions,available [84] available,download [83] cyberdefenders,#bossofthesoc [21] #cybersecurity,#infosec [12] #websecurity,#bypass [10] defending,malware Top Word Pairs in Tweet in G7:
[93] #infosec,#hacking [85] #hacking,#hackers [63] #hackers,#pentesting [23] open,source [21] preview,#infosec [20] #cybersecurity,#infosec [18] #pentesting,#programming [18] drone,hacking [18] hacking,exploitation [18] exploitation,vulnerabilities Top Word Pairs in Tweet in G8:
[69] #bugbounty,#bugbountytips [61] #cybersecurity,#infosec [60] #infosec,#ethicalhacking [59] #ethicalhacking,#bugbounty [51] sensitive,data [51] data,leakage [51] leakage,using [51] using,json [51] json,#cybersecurity [50] salahhasoneh1,sensitive Top Word Pairs in Tweet in G9:
[136] #infosec,#cybersecurity [45] #isdots,#infosec [39] websites,hosting [39] hosting,#phishing [39] #phishing,today [34] #cybersecurity,find [27] find,more [27] #cybersecurity,#malware [25] #cybersecurity,#cyberattack [24] more,visit Top Word Pairs in Tweet in G10:
[99] never,thought [99] thought,way [99] way,yikes [99] yikes,glad [99] glad,never [99] never,stick [99] stick,family [99] family,#infosec [97] #infosec,#osint [92] ell_o_punk,never Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: