The graph represents a network of 4,346 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, 13 July 2021 at 06:48 UTC.
The requested start date was Tuesday, 13 July 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, 52-minute period from Saturday, 10 July 2021 at 22:08 UTC to Tuesday, 13 July 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 : 4346
Unique Edges : 3194
Edges With Duplicates : 13600
Total Edges : 16794
Number of Edge Types : 5
Retweet : 5870
MentionsInRetweet : 6991
Tweet : 2335
Mentions : 1432
Replies to : 166
Self-Loops : 2437
Reciprocated Vertex Pair Ratio : 0.00908251231527094
Reciprocated Edge Ratio : 0.018001525553013
Connected Components : 670
Single-Vertex Connected Components : 341
Maximum Vertices in a Connected Component : 2942
Maximum Edges in a Connected Component : 14875
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.511619
Graph Density : 0.000347130835226975
Modularity : 0.343268
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 4,346 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, 13 July 2021 at 06:48 UTC.
The requested start date was Tuesday, 13 July 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, 52-minute period from Saturday, 10 July 2021 at 22:08 UTC to Tuesday, 13 July 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:
[622] #machinelearning,#5g [483] #5g,#datascience [473] cyber,security [355] #javascript,#github [354] #github,#nodejs [345] #datascience,#100daysofcode [340] #nodejs,#cybersecurity [326] #100daysofcode,#python [324] #lowcode,#javascript [310] #nocode,#lowcode Top Word Pairs in Tweet in G1:
[48] #machinelearning,#5g [42] #cybersecurity,#infosec [32] #5g,#datascience [30] #infosec,#cybersecurity [29] cyber,security [29] #cybersecurity,#cyberattack [23] #datascience,#100daysofcode [17] #cybersecurity,#security [17] gt,gt [15] #nodejs,#cybersecurity Top Word Pairs in Tweet in G2:
[183] #cybersecurity,#infosec [108] #infosec,#ethicalhacking [98] #cybersecurity,#cybersecuritytips [96] #cybersecuritytips,#cybersecuritynews [94] cyber,security [94] #cybersecuritynews,#infosec [81] threat,intelligence [80] #news,#cybersecurity [74] predicted,malicious [74] malicious,domain Top Word Pairs in Tweet in G3:
[551] #machinelearning,#5g [438] #5g,#datascience [313] #javascript,#github [311] #github,#nodejs [311] #datascience,#100daysofcode [305] #100daysofcode,#python [298] #nodejs,#cybersecurity [284] #lowcode,#javascript [270] #nocode,#lowcode [252] #bigdata,#ai Top Word Pairs in Tweet in G4:
[98] cyber,security [25] arbitrary,cyber [25] security,advisory [25] advisory,system [25] system,elevated [17] cybersecurity,company [15] company,riskiq [15] cybersecurity,firm [15] firm,riskiq [13] buying,cybersecurity Top Word Pairs in Tweet in G5:
[25] regulatory,compliance [25] compliance,become [25] become,top [25] biggest,concerns [25] concerns,corporate [25] corporate,boards [25] boards,adding [23] adding,cybersec [16] infographic,#cybersecurity [16] cybersecurity,regulatory Top Word Pairs in Tweet in G6:
[239] county,germany [239] germany,declares [239] declares,disaster [239] disaster,computer [239] computer,systems [239] systems,hacked [239] hacked,paralyzed [239] paralyzed,bsi [239] bsi,federal [236] disclosetv,county Top Word Pairs in Tweet in G7:
[177] jen,easterly [114] easterly,lead [94] confirmed,jen [92] senate,confirmed [89] lead,cisagov [63] cybersecurity,infrastructure [60] infrastructure,security [60] security,agency [54] easterly,confirmation [54] lead,cybersecurity Top Word Pairs in Tweet in G8:
[58] cybersecurity,firm [58] firm,riskiq [57] microsoft,announced [57] announced,buying [57] buying,cybersecurity [57] riskiq,help [57] help,companies [57] companies,better [57] better,protect [57] protect,themselves Top Word Pairs in Tweet in G9:
[48] re,protecting [29] news,mitre [29] mitre,att [29] att,ck [29] ck,mappings [29] mappings,released [29] released,built [29] built,azure [29] azure,security [29] security,controls Top Word Pairs in Tweet in G10:
[50] sheer,power [50] power,russian [50] russian,based [50] based,hacking [50] hacking,organizations [50] organizations,lies [50] lies,ability [50] ability,convert [50] convert,low [50] low,effort Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G3:
Top Replied-To in G6:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: