The graph represents a network of 4,209 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, 16 November 2021 at 07:50 UTC.
The requested start date was Tuesday, 16 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 2-day, 1-hour, 20-minute period from Saturday, 13 November 2021 at 23:01 UTC to Tuesday, 16 November 2021 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 : 4209
Unique Edges : 3100
Edges With Duplicates : 13322
Total Edges : 16422
Number of Edge Types : 5
Retweet : 5620
MentionsInRetweet : 6651
Tweet : 2521
Mentions : 1460
Replies to : 170
Self-Loops : 2611
Reciprocated Vertex Pair Ratio : 0.00835928536305524
Reciprocated Edge Ratio : 0.0165799739921977
Connected Components : 765
Single-Vertex Connected Components : 385
Maximum Vertices in a Connected Component : 2283
Maximum Edges in a Connected Component : 13576
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.339671
Graph Density : 0.000347345494490802
Modularity : 0.343377
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 4,209 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, 16 November 2021 at 07:50 UTC.
The requested start date was Tuesday, 16 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 2-day, 1-hour, 20-minute period from Saturday, 13 November 2021 at 23:01 UTC to Tuesday, 16 November 2021 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:
[462] cyber,security [358] #infosec,#infosecurity [341] #python,#datascience [340] #infosecurity,#cybersecurity [282] #ai,#python [264] #machinelearning,#ai [251] #datascience,#bigdata [248] #cybersecurity,#infosec [233] need,job [233] job,sign Top Word Pairs in Tweet in G1:
[322] #python,#datascience [267] #ai,#python [248] #machinelearning,#ai [240] #datascience,#bigdata [227] need,job [227] job,sign [227] sign,free [227] free,middlemen [183] #css,#java [181] #100daysofcode,#datascience Top Word Pairs in Tweet in G2:
[312] #infosec,#infosecurity [300] #infosecurity,#cybersecurity [189] #cybersecurity,#threatintel [176] #infosec,#ethicalhacking [174] #cybersecurity,#cybersecuritytips [172] #cybersecuritynews,#infosec [171] #cybersecuritytips,#cybersecuritynews [141] #cybersecurity,#infosec [136] #threatintel,#threatintelligence [129] #threatintelligence,#hacking Top Word Pairs in Tweet in G3:
[83] cyber,security [25] cyber,attacks [20] cybersecurity,ultimate [20] ultimate,guide [20] guide,defending [20] defending,against [20] against,cyber [17] trend,micro [16] hong,kong [15] believe,organizations Top Word Pairs in Tweet in G4:
[22] ransomware,one [22] one,fastest [22] fastest,growing [22] growing,threats [22] threats,experts [22] experts,estimating [22] estimating,year [22] year,attack [22] attack,occur [22] occur,11 Top Word Pairs in Tweet in G5:
[44] #infosec,#cybersecurity [36] hackinarticles,best [24] #cybersecurity,#pentesting [24] #pentesting,#ctf [24] #ctf,#oscp [24] #oscp,#windows [22] best,linux [21] #windows,#cheatsheet [20] #cybersecurity,#redteam [20] #redteam,#pentest Top Word Pairs in Tweet in G6:
[41] #cybersecurity,#cyberwarrior [38] #infosec,#cybersecurity [26] hackers,part [13] basics,hackers [12] wi,fi [11] forensics,part [11] radio,sdr [11] sdr,hackers [10] getting,started [10] #sdr,#sdr4hackers Top Word Pairs in Tweet in G7:
[23] many,junk [23] junk,crack [23] crack,head [23] head,dreadful [23] dreadful,please [23] please,contact [23] contact,professional [23] professional,cyber [23] cyber,security [23] security,agencies Top Word Pairs in Tweet in G8:
[6] blackberry,guard [5] #cyberattackers,don [5] don,keep [5] keep,regular [5] regular,office [5] office,hours [5] hours,blackberry [5] guard,monitors [5] monitors,environment [5] environment,24x7 Top Word Pairs in Tweet in G9:
[52] blueprint,wealth [52] wealth,commerce [52] commerce,amzn [52] amzn,meli [52] meli,cybersecurity [52] cybersecurity,crwd [52] crwd,fintech [52] fintech,sq [52] sq,pypl [52] pypl,intu Top Word Pairs in Tweet in G10:
[33] docn,cybersecurity [32] cloud,msft [32] msft,twlo [32] twlo,docn [32] cybersecurity,net [32] net,crwd [32] crwd,fintech [32] fintech,afrm [32] afrm,sofi [32] sofi,sq Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
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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: