The graph represents a network of 6,752 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, 15 September 2020 at 06:42 UTC.
The requested start date was Tuesday, 15 September 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, 52-minute period from Wednesday, 09 September 2020 at 20:21 UTC to Friday, 11 September 2020 at 22:14 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 : 6752
Unique Edges : 6263
Edges With Duplicates : 12029
Total Edges : 18292
Number of Edge Types : 5
Retweet : 4803
MentionsInRetweet : 6910
Tweet : 2899
Mentions : 3394
Replies to : 286
Self-Loops : 2989
Reciprocated Vertex Pair Ratio : 0.0238255787817487
Reciprocated Edge Ratio : 0.0465422612513721
Connected Components : 1377
Single-Vertex Connected Components : 816
Maximum Vertices in a Connected Component : 4158
Maximum Edges in a Connected Component : 14809
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.63449
Graph Density : 0.000199856296521983
Modularity : 0.456916
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 6,752 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, 15 September 2020 at 06:42 UTC.
The requested start date was Tuesday, 15 September 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, 52-minute period from Wednesday, 09 September 2020 at 20:21 UTC to Friday, 11 September 2020 at 22:14 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:
[749] cyber,security [251] #cybersecurity,#infosec [245] #infosec,#cybersecurity [146] #cybersecurity,#security [133] covid,19 [122] read,more [109] learn,more [95] #security,#cybersecurity [91] internet,protocol [91] protocol,address Top Word Pairs in Tweet in G1:
[98] #cybersecurity,#infosec [96] cyber,security [93] #cybersecurity,#security [69] #infosec,#cybersecurity [41] read,more [39] #cybersecurity,#cyberattack [37] #security,#cybersecurity [37] #cybersecurity,#digital [35] internet,protocol [35] protocol,address Top Word Pairs in Tweet in G2:
[132] cyber,security [36] covid,19 [28] learn,more [27] cybersecurity,skills [27] skills,gap [25] organization,addressing [25] addressing,challenges [25] challenges,come [25] come,along [25] along,cybersecurity Top Word Pairs in Tweet in G3:
[78] #infosec,#cybersecurity [70] #cybersecurity,#infosec [68] #analytics,#datascience [52] read,more [48] #ai,#iot [46] #bigdata,#analytics [44] #cybersecurity,#osint [41] #iot,#tech [41] #bigdata,#ai [41] #osint,#infosec Top Word Pairs in Tweet in G4:
[48] internet,protocol [48] protocol,address [47] #cyberpeacecorps,#cyberpeace [46] #cyberpeace,#cybersecurity [38] #thursdaytrivia,#cyberpeacecorps [36] #contestalert,#thursdaytrivia [33] address,#contestalert [28] cyberpeacecorps,internet [26] #cybersecurity,cyberpeacecorps [19] cyberpeacecorps,join Top Word Pairs in Tweet in G5:
[66] cyber,security [36] confident,cyber [21] book,confident [20] security,available [19] email,based [19] based,attacks [19] related,entities [19] drjessicabarker,book [17] strongly,recommend [17] recommend,organizations Top Word Pairs in Tweet in G6:
[16] #cybersecurity,#cyberwarrior [16] wi,fi [15] cyber,security [10] cyber,war [10] information,security [9] scada,hacking [9] happy,thursday [9] thursday,tnmoc [9] tnmoc,sit [9] sit,evening Top Word Pairs in Tweet in G7:
[91] cyber,security [81] putin,discussed [81] discussed,forming [81] forming,impenetrable [81] impenetrable,cyber [81] security,unit [69] unit,election [66] election,hacking [49] hacking,many [38] many,negative Top Word Pairs in Tweet in G8:
[23] cyber,security [16] #ransomware,attacks [14] attacks,target [14] target,billion [14] billion,dollar [14] dollar,fairfax [14] fairfax,co [14] co,public [14] public,schools [14] schools,schools Top Word Pairs in Tweet in G9:
[55] blurtooth,cve [55] cve,2020 [55] 2020,15802 [55] 15802,unpatched [55] unpatched,#bluetooth [55] #bluetooth,pairing [55] pairing,vulnerability [55] vulnerability,attackers [55] attackers,bypass [54] thehackersnews,blurtooth Top Word Pairs in Tweet in G10:
[16] machine,learning [11] #security,#cybersecurity [10] #infosec,#cybersecurity [9] #cybersecurity,#informationsecurity [9] #informationsecurity,#computersecurity [9] 80,financial [9] financial,experts [9] experts,recently [9] recently,released [9] released,preventing Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: