The graph represents a network of 3,910 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 June 2021 at 06:42 UTC.
The requested start date was Tuesday, 22 June 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 2-day, 1-hour, 45-minute period from Saturday, 19 June 2021 at 22:15 UTC to Tuesday, 22 June 2021 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 : 3910
Unique Edges : 3434
Edges With Duplicates : 14447
Total Edges : 17881
Number of Edge Types : 5
Retweet : 5760
MentionsInRetweet : 7547
Tweet : 2051
Replies to : 434
Mentions : 2089
Self-Loops : 2153
Reciprocated Vertex Pair Ratio : 0.00993171942892613
Reciprocated Edge Ratio : 0.0196681007990166
Connected Components : 602
Single-Vertex Connected Components : 303
Maximum Vertices in a Connected Component : 2610
Maximum Edges in a Connected Component : 16037
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.237273
Graph Density : 0.000425799469909756
Modularity : 0.31039
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 3,910 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 June 2021 at 06:42 UTC.
The requested start date was Tuesday, 22 June 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 2-day, 1-hour, 45-minute period from Saturday, 19 June 2021 at 22:15 UTC to Tuesday, 22 June 2021 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 : (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:
[408] join,tns_corp [408] tns_corp,tiaonline [408] tiaonline,global [408] global,conference [408] conference,learn [408] learn,#blockchain [408] #blockchain,used [380] used,enhance [345] #100daysofcode,#devcommunity [341] cyber,security Top Word Pairs in Tweet in G1:
[43] #cybersecurity,#infosec [41] join,tns_corp [41] tns_corp,tiaonline [41] tiaonline,global [41] global,conference [41] conference,learn [41] learn,#blockchain [41] #blockchain,used [34] #infosec,#cybersecurity [32] used,enhance Top Word Pairs in Tweet in G2:
[147] #cybersecurity,#infosec [70] #cybersecurity,#cyberattack [60] #infosec,#cybersecurity [56] join,tns_corp [56] tns_corp,tiaonline [56] tiaonline,global [56] global,conference [56] conference,learn [56] learn,#blockchain [56] #blockchain,used Top Word Pairs in Tweet in G3:
[272] #100daysofcode,#devcommunity [263] #javascript,#github [252] #github,#nodejs [230] #devcommunity,#codinglife [218] #codinglife,#cybersecurity [215] #nodejs,#cybersecurity [210] #cybersecurity,#devops [208] #hclswlobp,#nocode [208] #lowcode,#javascript [198] #artificialinteligence,#cybersecurity Top Word Pairs in Tweet in G4:
[69] cyber,security [11] executive,order [9] cybersecurity,company [8] cybersecurity,firm [8] june,24 [8] join,virtual [7] link,bio [7] cyber,attacks [7] prepared,meet [7] meet,federal Top Word Pairs in Tweet in G5:
[295] join,tns_corp [295] tns_corp,tiaonline [295] tiaonline,global [295] global,conference [295] conference,learn [295] learn,#blockchain [295] #blockchain,used [295] used,enhance [291] enhance,#ict [291] #ict,#supplychain Top Word Pairs in Tweet in G6:
[20] cyber,security [13] systematic,racism [13] racism,cybersecurity [13] cybersecurity,500k [13] 500k,unfilled [13] unfilled,jobs [12] breaking,news [12] news,cybersecurity [12] cybersecurity,meg [12] meg,discord Top Word Pairs in Tweet in G7:
[40] #infosec,#cybersecurity [30] #cybersecurity,#infosec [20] #cybersecurity,#security [10] #cybersecurity,#bugbountytips [9] incident,response [9] cheatsheet,#pentesting [9] #pentesting,#infosec [9] #cybersecurity,#dfir [9] cheat,sheet [8] #infosec,#security Top Word Pairs in Tweet in G8:
[33] artificial,intelligence [19] machine,learning [12] cyber,security [10] #cybersecurity,firm [10] firm,exposed [10] exposed,billion [10] collected,previous [10] intelligence,machine [9] data,science [8] billion,085 Top Word Pairs in Tweet in G9:
[9] weird,#malware [9] #malware,one [9] one,intent [9] intent,blocking [9] blocking,infected [9] infected,computers [9] computers,visiting [9] visiting,websites [9] websites,dedicated [9] dedicated,#software Top Word Pairs in Tweet in G10:
[47] damibamigbose,lookout [47] lookout,cybersecurity [47] cybersecurity,job [47] job,opportunities [47] opportunities,great [47] great,birthday [47] birthday,gift [46] _hashcode,damibamigbose Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: