The graph represents a network of 5,594 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, 04 August 2020 at 06:42 UTC.
The requested start date was Tuesday, 04 August 2020 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, 53-minute period from Saturday, 01 August 2020 at 04:36 UTC to Monday, 03 August 2020 at 06:29 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 : 5594
Unique Edges : 4951
Edges With Duplicates : 15596
Total Edges : 20547
Number of Edge Types : 5
Replies to : 359
Mentions : 3589
MentionsInRetweet : 8074
Retweet : 5968
Tweet : 2557
Self-Loops : 2658
Reciprocated Vertex Pair Ratio : 0.018061827023272
Reciprocated Edge Ratio : 0.0354827703855339
Connected Components : 764
Single-Vertex Connected Components : 376
Maximum Vertices in a Connected Component : 3459
Maximum Edges in a Connected Component : 17358
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.677072
Graph Density : 0.000281041070989894
Modularity : 0.36122
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 5,594 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, 04 August 2020 at 06:42 UTC.
The requested start date was Tuesday, 04 August 2020 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, 53-minute period from Saturday, 01 August 2020 at 04:36 UTC to Monday, 03 August 2020 at 06:29 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:
[606] cyber,security [543] #cybersecurity,#hacker [335] #cybersecurity,#infosec [277] cyberdomain,#cybersecurity [239] #python,#rstats [236] #infosec,#cybersecurity [229] #cybersecurity,#iot [226] #iot,#iiot [193] #bigdata,#cybersecurity [192] #webdev,#bigdata Top Word Pairs in Tweet in G1:
[160] #cybersecurity,#ccl [95] #contestalert,#quiz [93] #ccl,#contest [92] #contest,#cyber [92] #cyber,#contestalert [89] cyberbitindia,join [88] #quiz,cyberbitindia [70] 28th,august [67] #cybersecurity,#infosec [66] cyberbit,range Top Word Pairs in Tweet in G2:
[513] #cybersecurity,#hacker [257] cyberdomain,#cybersecurity [102] #cybersecurity,#infosec [78] #cybersecurity,#digital [76] gt,gt [68] #digital,#hackers [67] #hackers,#infosec [67] #cybersecurity,#automated [65] cyber,security [61] #infosec,#security Top Word Pairs in Tweet in G3:
[211] #python,#rstats [189] #cybersecurity,#iot [185] #iot,#iiot [170] #webdev,#bigdata [170] #iiot,#pytorch [163] #pytorch,#python [159] #bigdata,#cybersecurity [111] ios,13 [105] #bigdata,#analytics [104] bypass,ios Top Word Pairs in Tweet in G4:
[111] cyber,security [18] cyber,attacks [15] 2020,08 [15] #cyber,#security [14] covid,19 [14] sample,submitted [14] submitted,2020 [14] dionaea,honeypot [14] honeypot,protocol [14] protocol,smbd Top Word Pairs in Tweet in G5:
[63] #infosec,#hacking [55] #hacking,#hackers [53] #hackers,#pentesting [32] #cybersecurity,#infosec [31] #pentesting,#programming [31] #programming,#pentest [29] #pentest,#opensource [23] #opensource,#cybersecurity [22] #cybersecurity,#cyberwarrior [19] wi,fi Top Word Pairs in Tweet in G6:
[14] #cybersecurity,#infosec [8] cve,2020 [8] supply,chain [7] #cybersecurity,advisory [7] #cyber,#cybersecurity [7] software,supply [6] 2020,10713 [6] 10713,poses [6] poses,significant [6] significant,risk Top Word Pairs in Tweet in G7:
[110] navy,army [110] army,air [110] air,force [110] force,coast [110] coast,guard [110] guard,marine [110] marine,corps [110] corps,department [110] department,homeland [110] homeland,security Top Word Pairs in Tweet in G8:
[42] cyber,attack [38] denial,service [37] massive,messaging [37] messaging,storm [37] storm,presented [37] presented,denial [37] service,cyber [37] attack,investigated [37] investigated,security [37] security,teams Top Word Pairs in Tweet in G9:
[102] security,issue [101] banning,tiktok [101] tiktok,trampling [101] trampling,free [101] free,expression [101] expression,cybersecurity [101] cybersecurity,national [101] national,security [101] issue,nobody [101] nobody,claimed Top Word Pairs in Tweet in G10:
[90] cybersecurity,expert [88] expert,suggested [88] suggested,technology [88] technology,used [88] used,chinese [88] chinese,app [88] app,tiktok [88] tiktok,same [88] same,software [88] software,being 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 G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G9:
Top Tweeters in G10: