The graph represents a network of 4,140 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, 28 September 2020 at 16:20 UTC.
The requested start date was Monday, 28 September 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 2-day, 22-hour, 31-minute period from Friday, 25 September 2020 at 01:29 UTC to Monday, 28 September 2020 at 00:00 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 : 4140
Unique Edges : 4100
Edges With Duplicates : 14375
Total Edges : 18475
Number of Edge Types : 5
Retweet : 5033
MentionsInRetweet : 6393
Tweet : 2310
Replies to : 527
Mentions : 4212
Self-Loops : 2446
Reciprocated Vertex Pair Ratio : 0.0547298235866093
Reciprocated Edge Ratio : 0.103779797181615
Connected Components : 569
Single-Vertex Connected Components : 343
Maximum Vertices in a Connected Component : 3072
Maximum Edges in a Connected Component : 17010
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.295483
Graph Density : 0.000443116204642303
Modularity : 0.344585
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 4,140 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, 28 September 2020 at 16:20 UTC.
The requested start date was Monday, 28 September 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 2-day, 22-hour, 31-minute period from Friday, 25 September 2020 at 01:29 UTC to Monday, 28 September 2020 at 00:00 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:
[830] #cybersecurity,#infosec [529] #infosec,#cybersecurity [258] #cybersecurity,#cyberattack [244] #infosec,#security [217] source,code [211] #cybersecurity,#osint [208] #osint,#infosec [192] #infosec,#hacking [190] windows,xp [170] #cybersecurity,#digital Top Word Pairs in Tweet in G1:
[526] #cybersecurity,#infosec [396] #infosec,#cybersecurity [252] #cybersecurity,#cyberattack [184] #cybersecurity,#osint [181] #osint,#infosec [167] #infosec,#security [148] #infosec,#cyberthreats [141] #cyberattack,#technews [118] #security,#infosec [112] #technews,#hacker Top Word Pairs in Tweet in G2:
[119] drama,drama [40] iancoldwater,bentleyaudrey [40] infosec_taylor,wh_y [39] bentleyaudrey,danjconn [39] danjconn,infosec_taylor [35] 3mm4h3ff,dahl_consult [35] dahl_consult,accidentalciso [35] accidentalciso,thetorfinnolsen [35] thetorfinnolsen,notameadow [35] notameadow,bon_evie Top Word Pairs in Tweet in G3:
[56] #cybersecurity,#infosec [20] infosec,community [19] #follow,#rt [19] #rt,#cybersecurity [19] pastebin,adds [18] dismay,infosec [17] adds,'burn [17] 'password,protected [16] 'burn,read' [16] read','password Top Word Pairs in Tweet in G4:
[52] write,infosec [52] infosec,write [52] write,ups [52] ups,publication [46] infoseccomm,write [42] #cybersecurity,#infosec [36] cve,2020 [31] #infosec,ama [31] ama,#9 [31] #9,next Top Word Pairs in Tweet in G5:
[94] #infosec,#hacking [78] #hacking,#hackers [68] #hackers,#pentesting [57] #pentesting,#programming [54] #programming,#pentest [49] script,designed [44] chimera,powershell [44] powershell,obfuscation [44] obfuscation,script [44] designed,bypass Top Word Pairs in Tweet in G6:
[117] source,code [114] microsoft,windows [114] windows,xp [114] reportedly,leaked [114] leaked,online [113] code,microsoft [113] xp,os [113] os,reportedly [113] online,#infosec [113] #infosec,#tech Top Word Pairs in Tweet in G7:
[66] ad,attack [66] attack,performing [66] performing,domain [66] domain,recon [66] recon,using [66] using,ps [66] ps,attack [66] attack,mapping [66] mapping,bloodhound [65] cyberwarship,ad Top Word Pairs in Tweet in G8:
[19] threat,actor [18] learn,cyber [18] cyber,threat [18] actor,compromised [18] compromised,federal [18] federal,agency's [18] agency's,network [18] network,exfiltrate [18] exfiltrate,sensitive [18] sensitive,data Top Word Pairs in Tweet in G9:
[24] brakesec,_brennacolleen [24] _brennacolleen,josef_walker [24] josef_walker,uk_daniel_card [24] uk_daniel_card,mzbat [24] mzbat,0xdf_ [24] 0xdf_,irongeek_adc [23] irongeek_adc,soundslikerhea [22] tdreed00,k3vk4 [22] k3vk4,sbtge [22] sbtge,kbcboy Top Word Pairs in Tweet in G10:
[17] #cybersecurity,#infosec [8] red,security [8] security,advisory [8] advisory,2020 [8] 01,#infosec [7] #cybersecurity,#osint [7] #osint,#infosec [6] #infosec,#bugbounty [6] jerpaderpa,magnus919 [6] magnus919,adriennelaf Top Replied-To in Entire Graph:
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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:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G10: