The graph represents a network of 5,271 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, 22 March 2022 at 06:39 UTC.
The requested start date was Tuesday, 22 March 2022 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, 2-hour, 22-minute period from Saturday, 19 March 2022 at 21:38 UTC to Tuesday, 22 March 2022 at 00:01 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 : 5271
Unique Edges : 3039
Edges With Duplicates : 12963
Total Edges : 16002
Number of Edge Types : 5
Tweet : 1970
Retweet : 5368
MentionsInRetweet : 6591
Mentions : 1825
Replies to : 248
Self-Loops : 2066
Reciprocated Vertex Pair Ratio : 0.010034970351224
Reciprocated Edge Ratio : 0.0198705404184856
Connected Components : 945
Single-Vertex Connected Components : 479
Maximum Vertices in a Connected Component : 3248
Maximum Edges in a Connected Component : 13162
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.691368
Graph Density : 0.000239144623277919
Modularity : 0.396424
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 5,271 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, 22 March 2022 at 06:39 UTC.
The requested start date was Tuesday, 22 March 2022 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, 2-hour, 22-minute period from Saturday, 19 March 2022 at 21:38 UTC to Tuesday, 22 March 2022 at 00:01 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:
[457] cyber,security [408] #infosec,#cybersecurity [406] secretary,state [402] marine,corps [383] corps,vet [376] official,qualified [376] qualified,ballot [376] ballot,serve [376] serve,georgia's [376] georgia's,next Top Word Pairs in Tweet in G1:
[265] #machinelearning,#ai [248] #ai,#python [191] #python,#datascience [162] #datascience,#bigdata [161] sign,free [145] #cybersecurity,#infosec [142] #machinelearning,#python [141] #bigdata,#analytics [137] #artificialintelligence,#machinelearning [135] #ai,#iiot Top Word Pairs in Tweet in G2:
[325] warned,potential [325] russia,conduct [323] previously,warned [323] potential,russia [323] conduct,malicious [323] malicious,cyber [323] cyber,activity [323] activity,against [321] ve,previously [321] against,today Top Word Pairs in Tweet in G3:
[75] cyber,security [22] white,house [14] electric,grid [10] learn,more [10] critical,infrastructure [10] bug,bounty [10] bounty,article [10] article,tags [10] tags,infosec [10] infosec,cybersecurity Top Word Pairs in Tweet in G4:
[398] secretary,state [398] marine,corps [379] corps,vet [372] official,qualified [372] qualified,ballot [372] ballot,serve [372] serve,georgia's [372] georgia's,next [372] next,secretary [372] state,marine Top Word Pairs in Tweet in G5:
[310] #infosec,#cybersecurity [187] cheat,sheet [173] #pentesting,#oscp [156] #cybersecurity,#cybersecuritytips [130] #cybersecuritytips,#pentesting [103] credit,#infosec [97] #oscp,#informationsecurity [94] sheet,credit [77] sheet,#infosec [69] #cybersecurity,#infosec Top Word Pairs in Tweet in G6:
[49] exploring,options [45] potus,notes [45] notes,exploring [45] options,cyberattacks [45] cyberattacks,highlighting [45] highlighting,evolution [45] evolution,credible [45] credible,cyber [45] cyber,threat [44] cisajen,potus Top Word Pairs in Tweet in G7:
[12] tylercohenwood,archonsec [10] sponsored,#cybersecurity [10] #cybersecurity,tylercohenwood [10] archonsec,betamoroney [10] betamoroney,ragusosergio [9] cost,20 [9] 20,billion [9] billion,2021 [8] cyber,security [7] #cybersecurity,#ai Top Word Pairs in Tweet in G8:
[32] until,told [32] told,prepare [32] prepare,despite [32] despite,being [32] being,credible [32] credible,threats [32] threats,cyberattacks [31] nicoleperlroth,until [26] key,neuberger [26] neuberger,usg Top Word Pairs in Tweet in G9:
[21] much,cybersecurity [21] cybersecurity,awareness [21] awareness,training [21] training,focuses [21] focuses,teaching [21] teaching,unnecessary [21] unnecessary,terms [21] terms,one [21] one,remember [21] remember,tip Top Word Pairs in Tweet in G10:
[61] white,house [60] anne,neuberger [59] senior,white [59] house,cybersecurity [59] cybersecurity,official [59] official,anne [59] neuberger,important [59] important,companies [59] companies,provide [59] provide,critical Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G9:
Top Replied-To in G10:
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:
Top Tweeters in G2:
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: