The graph represents a network of 5,744 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, 10 May 2022 at 06:43 UTC.
The requested start date was Tuesday, 10 May 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, 1-hour, 13-minute period from Saturday, 07 May 2022 at 22:47 UTC to Tuesday, 10 May 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 : 5744
Unique Edges : 3108
Edges With Duplicates : 13312
Total Edges : 16420
Number of Edge Types : 5
Retweet : 5717
MentionsInRetweet : 6917
Tweet : 2062
Mentions : 1478
Replies to : 246
Self-Loops : 2158
Reciprocated Vertex Pair Ratio : 0.0102564102564103
Reciprocated Edge Ratio : 0.0203045685279188
Connected Components : 931
Single-Vertex Connected Components : 455
Maximum Vertices in a Connected Component : 3579
Maximum Edges in a Connected Component : 13244
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.986195
Graph Density : 0.000214988623670235
Modularity : 0.410475
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 5,744 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, 10 May 2022 at 06:43 UTC.
The requested start date was Tuesday, 10 May 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, 1-hour, 13-minute period from Saturday, 07 May 2022 at 22:47 UTC to Tuesday, 10 May 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:
[1075] secretary,state [1065] cybersecurity,expert [1063] democrat,running [1051] michael,owens [1040] marine,corps [1036] owens,democrat [1036] running,secretary [1036] state,georgia [1036] georgia,marine [1036] corps,vet Top Word Pairs in Tweet in G1:
[1072] secretary,state [1061] democrat,running [1048] michael,owens [1046] cybersecurity,expert [1038] marine,corps [1034] owens,democrat [1034] running,secretary [1034] state,georgia [1034] georgia,marine [1034] corps,vet Top Word Pairs in Tweet in G2:
[347] #programming,#datascience [329] #100daysofcode,#codenewbie [328] #womenwhocode,#programming [301] #codenewbie,#womenwhocode [248] #datascience,#academictwitter [224] #machinelearning,#ai [222] #ai,#python [216] sign,free [184] #cybersecurity,#infosec [176] know,more Top Word Pairs in Tweet in G3:
[423] #infosec,#cybersecurity [301] #pentesting,#oscp [251] #oscp,#informationsecurity [190] #cybersecurity,#cybersecuritytips [185] #cybersecuritytips,#pentesting [143] #informationsecurity,#cissp [122] #cybersecurity,#pentesting [107] #informationsecurity,#hacking [105] #cissp,#cybersec [102] #hacking,#cissp Top Word Pairs in Tweet in G4:
[78] cyber,security [13] cyber,attacks [11] ransomware,attack [10] #cloudcomputing,#cybersecurity [10] conti,ransomware [10] learn,more [10] #cybersecurity,#security [10] effectively,protect [9] supply,chain [9] #infosec,#cybersecurity Top Word Pairs in Tweet in G5:
[6] #fintech,#insurtech [6] #insurtech,#finserv [6] #finserv,#marketing [6] being,honored [5] #cybersecurity,#iot [5] researchers,disclose [5] tylercohenwood,archonsec [5] #infosec,#cybersecurity [5] honored,named [5] named,crn Top Word Pairs in Tweet in G6:
[135] going,long [135] long,thread [135] thread,ukraine's [135] ukraine's,unique [135] unique,21st [135] 21st,century [135] century,fighting [135] fighting,style [135] style,based [135] based,uber Top Word Pairs in Tweet in G7:
[123] armed,forces [120] israeli,cybersecurity [120] cybersecurity,firm [119] brazilian,armed [119] forces,sign [119] sign,deal [119] deal,israeli [119] firm,help [119] help,supervise [114] lula,20 Top Word Pairs in Tweet in G8:
[24] day,isn [24] isn,book [24] book,sometimes [24] sometimes,relax [24] relax,watch [24] watch,feeem [24] feeem,interesting [24] interesting,top [24] top,10 [24] 10,cybersecurity Top Word Pairs in Tweet in G9:
[25] #cybersecurity,#infosec [8] instagram,help [7] zero,trust [6] #infosec,#security [6] #cybersecurity,#security [6] learn,more [6] first_cyber_security,instagram [5] appgate,achieves [5] achieves,soc [5] soc,type Top Word Pairs in Tweet in G10:
[48] #motivation,#wellness [48] #wellness,#wellbeing [48] #wellbeing,#powerplatform [48] #powerplatform,#faith [48] #faith,#truth [48] #truth,#love [48] #love,#hope [35] #hope,#cybersecurity [35] #cybersecurity,#trustgod [35] #trustgod,#man Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G8:
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: