The graph represents a network of 4,001 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, 30 June 2020 at 06:28 UTC.
The requested start date was Tuesday, 30 June 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 3-hour, 41-minute period from Sunday, 28 June 2020 at 02:12 UTC to Monday, 29 June 2020 at 05:53 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 : 4001
Unique Edges : 2999
Edges With Duplicates : 8699
Total Edges : 11698
Number of Edge Types : 5
Retweet : 3647
MentionsInRetweet : 4820
Replies to : 180
Tweet : 1465
Mentions : 1586
Self-Loops : 1558
Reciprocated Vertex Pair Ratio : 0.0129538405400474
Reciprocated Edge Ratio : 0.0255763688760807
Connected Components : 670
Single-Vertex Connected Components : 353
Maximum Vertices in a Connected Component : 2248
Maximum Edges in a Connected Component : 9120
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.076417
Graph Density : 0.000346913271682079
Modularity : 0.438422
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 4,001 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, 30 June 2020 at 06:28 UTC.
The requested start date was Tuesday, 30 June 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 3-hour, 41-minute period from Sunday, 28 June 2020 at 02:12 UTC to Monday, 29 June 2020 at 05:53 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:
[489] cyber,security [244] stunning,imran [244] imran,awan [244] awan,wasserman [244] wasserman,schultz [244] schultz,aide [244] aide,managed [244] managed,democratic [244] democratic,house [244] house,cybersecurity Top Word Pairs in Tweet in G1:
[172] gt,gt [145] #cybersecurity,#cyberattack [130] #infosec,#cybersecurity [117] #cyberattack,#technews [101] #technews,#hacker [86] #cybersecurity,#infosec [80] read,more [75] #hacker,#cybercrime [71] cyber,security [62] vast,amounts Top Word Pairs in Tweet in G2:
[70] cyber,security [12] ensure,business [12] business,continuity [12] continuity,face [10] honeywell,forge [10] forge,features [10] features,ensure [10] face,mounting [10] mounting,cyberthreats [8] lack,women Top Word Pairs in Tweet in G3:
[244] stunning,imran [244] imran,awan [244] awan,wasserman [244] wasserman,schultz [244] schultz,aide [244] aide,managed [244] managed,democratic [244] democratic,house [244] house,cybersecurity [244] cybersecurity,remotely Top Word Pairs in Tweet in G4:
[15] #infosec,#cybersecurity [12] #cybersecurity,#hacker [8] cyber,security [7] #cybersecurity,#security [6] #cybersecurity,#infosec [6] missed,look [6] look,reading [6] reading,please [6] please,take [6] take,look Top Word Pairs in Tweet in G5:
[94] security,teams [94] teams,need [94] need,visibility [94] visibility,industrial [94] industrial,assets [94] assets,industrial [94] industrial,processes [94] processes,missing [94] missing,puzzle [94] puzzle,piece Top Word Pairs in Tweet in G6:
[58] #cybersecurity,#infosec [48] #infosec,#hacking [37] #hacking,#hackers [28] top,25 [28] 25,xss [28] xss,dorks [28] dorks,according [28] according,openbugbounty [28] openbugbounty,#bugbountytips [28] #bugbountytips,#bugbountytip Top Word Pairs in Tweet in G7:
[76] cyber,security [73] putin,discussed [73] discussed,forming [73] forming,impenetrable [73] impenetrable,cyber [73] security,unit [71] unit,election [69] election,hacking [49] hacking,many [39] trump,meets Top Word Pairs in Tweet in G8:
[70] companies,market [70] market,stalkerware [70] stalkerware,sometimes [70] sometimes,under [70] under,guise [70] guise,child [70] child,safety [70] safety,employee [70] employee,monitoring [70] monitoring,software Top Word Pairs in Tweet in G9:
[85] 2010,senate [85] senate,report [85] report,cybersecurity [85] cybersecurity,observed [85] observed,'the [85] 'the,committee [85] committee,understands [85] understands,section [85] section,706 [85] 706,gives Top Word Pairs in Tweet in G10:
[44] cyber,security [12] national,cyber [9] csecurityalerts,#cybersecurity [9] #cybersecurity,news [8] security,czar [6] etfmg,prime [6] prime,cyber [6] security,etf [5] fantastic,news [5] big,deal Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
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: