The graph represents a network of 3,020 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, 01 November 2021 at 18:48 UTC.
The requested start date was Monday, 01 November 2021 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, 7-hour, 26-minute period from Saturday, 30 October 2021 at 13:39 UTC to Sunday, 31 October 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 : 3020
Unique Edges : 2273
Edges With Duplicates : 13296
Total Edges : 15569
Number of Edge Types : 5
Retweet : 4959
MentionsInRetweet : 5569
Tweet : 2295
Replies to : 565
Mentions : 2181
Self-Loops : 2436
Reciprocated Vertex Pair Ratio : 0.0458204334365325
Reciprocated Edge Ratio : 0.0876258140911782
Connected Components : 339
Single-Vertex Connected Components : 176
Maximum Vertices in a Connected Component : 2344
Maximum Edges in a Connected Component : 14614
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.401482
Graph Density : 0.000555751762019352
Modularity : 0.277745
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 3,020 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, 01 November 2021 at 18:48 UTC.
The requested start date was Monday, 01 November 2021 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, 7-hour, 26-minute period from Saturday, 30 October 2021 at 13:39 UTC to Sunday, 31 October 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:
[750] #cybersecurity,#infosec [511] #infosec,#cybersecurity [429] #infosec,#infosecurity [370] #cybersecurity,#cybersecuritytips [356] #cybersecuritytips,#cybersecuritynews [350] #infosec,#ethicalhacking [348] #cybersecuritynews,#infosec [295] #infosecurity,#cybersecurity [293] #ransomware,#databreaches [293] #databreaches,#darkweb Top Word Pairs in Tweet in G1:
[492] #cybersecurity,#infosec [361] #cybersecurity,#cybersecuritytips [354] #cybersecuritytips,#cybersecuritynews [347] #cybersecuritynews,#infosec [344] #infosec,#ethicalhacking [333] #infosec,#infosecurity [291] #ransomware,#databreaches [291] #databreaches,#darkweb [265] #darkweb,#cybersec [247] #infosec,#security Top Word Pairs in Tweet in G2:
[18] further,information [16] information,cyber [16] #cybersecurity,#infosec [15] cyber,topics [15] hacks4pancakes,infosec_taylor [15] give,away [14] topics,innovation [14] #infosec,#informationsecurity [14] last,friday [14] friday,#cybersecurityawarenessmonth Top Word Pairs in Tweet in G3:
[155] #infosec,#cybersecurity [130] #cybersecurity,#redteam [97] #cybersecurity,#infosec [65] #redteam,#pentest [52] lazy,script [52] script,make [52] make,life [52] life,easier [52] easier,course [52] course,faster Top Word Pairs in Tweet in G4:
[70] #cybersecurity,#infosec [29] #infosec,#cybersecurity [29] #infosec,#infosecurity [22] #infosec,#hacker [20] #news,#technology [19] jobpreference,need [19] need,job [19] job,sign [19] sign,free [19] free,middlemen Top Word Pairs in Tweet in G5:
[95] #infosec,#pentest [69] hackinarticles,best [60] #pentest,#redteam [38] best,oscp [36] oscp,tutorials [34] #pentest,#bugbounty [33] probable,wordlists [33] wordlists,world's [33] world's,common [33] common,passwords Top Word Pairs in Tweet in G6:
[16] #cybersecurity,#infosec [12] infosec,cybersecurity [11] bug,bounty [11] bounty,article [11] cybersecurity,hacking [11] hacking,hacker [11] hacker,security [11] security,ethicalhacking [9] #infosec,#cybersecurity [9] article,tags Top Word Pairs in Tweet in G7:
[29] china's,top [29] top,internet [29] internet,regulator [29] regulator,released [29] released,draft [29] draft,policy [29] policy,requiring [29] requiring,companies [29] companies,more [29] more,million Top Word Pairs in Tweet in G8:
[45] analysis,shodan [45] shodan,various [45] various,types [45] types,web [45] web,services [45] services,targets [45] targets,run [45] run,non [45] non,standard [45] standard,ports Top Word Pairs in Tweet in G9:
[25] #cybersecurity,#ai [24] #wordpress,website [24] website,#hacked [24] #hacked,ithemessecurity [24] ithemessecurity,#cybersecurity [24] #ai,#infosec [24] #infosec,#iot [24] #iot,cc [24] cc,avrohomg [23] avrohomg,tylercohenwood Top Word Pairs in Tweet in G10:
[4] work,work [4] gt,gt [4] covid,19 [2] last,year [2] guns_velez,npr [2] zerosum24,alecbaldwin [2] #cybersecurity,#infosec [2] infosec_jcp,jun34u_sec [2] work,infosec [2] infosec,congratulations Top Replied-To in Entire Graph:
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Top Replied-To in G8:
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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 G10: