The graph represents a network of 3,960 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, 10 August 2021 at 06:49 UTC.
The requested start date was Tuesday, 10 August 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 4-day, 1-hour, 15-minute period from Thursday, 05 August 2021 at 22:45 UTC to Tuesday, 10 August 2021 at 00:01 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 : 3960
Unique Edges : 3074
Edges With Duplicates : 13736
Total Edges : 16810
Number of Edge Types : 5
Tweet : 2380
Retweet : 5996
MentionsInRetweet : 6948
Mentions : 1342
Replies to : 144
Self-Loops : 2498
Reciprocated Vertex Pair Ratio : 0.0122600419422488
Reciprocated Edge Ratio : 0.0242231075697211
Connected Components : 729
Single-Vertex Connected Components : 371
Maximum Vertices in a Connected Component : 2310
Maximum Edges in a Connected Component : 14459
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.463994
Graph Density : 0.000400251568475868
Modularity : 0.334242
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 3,960 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, 10 August 2021 at 06:49 UTC.
The requested start date was Tuesday, 10 August 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 4-day, 1-hour, 15-minute period from Thursday, 05 August 2021 at 22:45 UTC to Tuesday, 10 August 2021 at 00:01 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:
[646] #github,#nodejs [610] #javascript,#github [599] #hclswlobp,#nocode [597] #lowcode,#javascript [591] #nocode,#lowcode [584] #nodejs,#cybersecurity [566] #cybersecurity,#devops [497] #devops,#100daysofcode [459] #datascience,#ai [448] #100daysofcode,#datascience Top Word Pairs in Tweet in G1:
[614] #github,#nodejs [583] #javascript,#github [575] #hclswlobp,#nocode [573] #lowcode,#javascript [567] #nocode,#lowcode [554] #nodejs,#cybersecurity [540] #cybersecurity,#devops [480] #devops,#100daysofcode [449] #datascience,#ai [438] #100daysofcode,#datascience Top Word Pairs in Tweet in G2:
[167] #cybersecurity,#infosec [106] #infosec,#cybersecurity [85] #cybersecurity,#cyberattack [67] cyber,security [52] #infosec,#ethicalhacking [47] #news,#cybersecurity [40] #cybersecurity,#cybersecuritytips [37] #cybersecuritytips,#cybersecuritynews [37] #cybersecuritynews,#infosec [35] websites,hosting Top Word Pairs in Tweet in G3:
[42] #escrowprotocol,#nft [42] #nft,#nftcommunity [42] #nftcommunity,#blockchain [42] #blockchain,#crowdfunding [42] #crowdfunding,#cybersecurity [41] ø,ø [40] ø,ù [39] #cybersecurity,#finance [39] #finance,#startup [37] #cybersecurity,#security Top Word Pairs in Tweet in G4:
[64] cyber,security [18] effective,#cybersecurity [18] #cybersecurity,today's [18] today's,distributed [18] distributed,workforce [18] workforce,starts [18] starts,right [18] right,network [18] network,architecture [17] learn,more Top Word Pairs in Tweet in G5:
[25] gt,gt [12] cyber,security [11] check,gt [9] #cybersecurity,#infosec [8] skills,gap [8] stay,tuned [8] tuned,more [8] more,#cybersecurity [7] #machinelearning,#5g [7] looking,back Top Word Pairs in Tweet in G6:
[21] #hacking,#cybersecurity [20] #cybersecurity,#bugbounty [19] #infosec,#cybersecurity [19] disponible,video [19] video,webinar [19] webinar,gratuito [18] #bugbounty,#osint [17] #osint,#forensics [14] alonso_reydes,disponible [13] #linux,#opensource Top Word Pairs in Tweet in G7:
[15] cisagov,cybersecurity [14] very,proud [14] proud,welcome [14] welcome,cisajen [14] cisajen,helm [14] helm,cisagov [14] cybersecurity,key [14] key,priority [14] priority,potus [14] potus,dhs Top Word Pairs in Tweet in G8:
[51] cybersecurity,experts [43] œa,court [43] court,brief [43] brief,sounding [43] sounding,alarm [43] alarm,cybersecurity [39] experts,georgiaâ [39] georgiaâ,voting [39] voting,system [39] system,suggests Top Word Pairs in Tweet in G9:
[7] key,risks [6] artificial,intelligence [6] internet,things [6] things,influential [6] influential,beneficial [6] beneficial,introduces [6] introduces,several [6] several,enterprise [6] enterprise,security [6] security,issues Top Word Pairs in Tweet in G10:
[7] womenknowcyber,#women [7] #women,know [7] know,#cybersecurity [7] #cybersecurity,cyber [7] cyber,incident [7] incident,event [7] event,mgmt [7] mgmt,teresagreen_ [7] teresagreen_,ntia [7] ntia,sr Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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: