The graph represents a network of 4,624 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, 16 August 2022 at 06:42 UTC.
The requested start date was Tuesday, 16 August 2022 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, 2-hour, 23-minute period from Saturday, 13 August 2022 at 21:37 UTC to Tuesday, 16 August 2022 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 : 4624
Unique Edges : 3045
Edges With Duplicates : 13069
Total Edges : 16114
Number of Edge Types : 5
Mentions : 1617
Retweet : 5446
MentionsInRetweet : 6438
Replies to : 200
Tweet : 2413
Self-Loops : 2537
Reciprocated Vertex Pair Ratio : 0.0108027256107695
Reciprocated Edge Ratio : 0.0213745478461033
Connected Components : 935
Single-Vertex Connected Components : 465
Maximum Vertices in a Connected Component : 2505
Maximum Edges in a Connected Component : 13058
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.771081
Graph Density : 0.000284514691474177
Modularity : 0.353324
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 4,624 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, 16 August 2022 at 06:42 UTC.
The requested start date was Tuesday, 16 August 2022 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, 2-hour, 23-minute period from Saturday, 13 August 2022 at 21:37 UTC to Tuesday, 16 August 2022 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:
[939] #machinelearning,#datascience [788] #cybersecurity,#bigdata [736] #bigdata,#analytics [711] #infosec,#cybersecurity [703] #analytics,#ai [606] #datascience,#sql [597] #ai,#iiot [593] #sql,#cybersecurity [514] cheat,sheet [492] #iiot,#python Top Word Pairs in Tweet in G1:
[850] #machinelearning,#datascience [711] #cybersecurity,#bigdata [669] #bigdata,#analytics [639] #analytics,#ai [547] #datascience,#sql [539] #ai,#iiot [535] #sql,#cybersecurity [446] #iiot,#python [363] #python,#rstats [304] cheat,sheet Top Word Pairs in Tweet in G2:
[194] #infosec,#cybersecurity [186] #cybersecurity,#infosec [173] #infosec,#infosecurity [162] #infosecurity,#cybersecurity [162] #cybersecurity,#threatintel [159] #threatintel,#threatintelligence [103] #malware,#ransomware [99] #pentesting,#oscp [83] #threatintelligence,#hacking [77] #cybersecurity,#cybersecuritytips Top Word Pairs in Tweet in G3:
[98] cyber,security [20] cybersecurity,problem [19] problem,cybersecurity [12] cyber,attacks [10] link,bio [8] zero,trust [8] #cybersecurity,#security [8] click,link [8] learn,more [7] open,cybersecurity Top Word Pairs in Tweet in G4:
[418] #infosec,#cybersecurity [284] #pentesting,#oscp [150] #cybersecurity,#cybersecuritytips [145] #cybersecurity,#pentesting [138] #cybersecuritytips,#pentesting [134] #oscp,#redteam [122] cheat,sheet [106] credit,#infosec [102] #redteam,#informationsecurity [101] #cybersecurity,#redteam Top Word Pairs in Tweet in G5:
[13] #cybersecurity,cc [11] #cybersecurity,tools [11] archonsec,tylercohenwood [10] fill,network [10] network,visibility [10] visibility,gaps [10] gaps,#cybersecurity [10] tools,netscout [10] netscout,archonsec [9] avrohomg,fill Top Word Pairs in Tweet in G6:
[155] black,def [153] def,itspmagazine [152] def,30 [127] itspmagazine,black [125] live,streaming [124] black,25 [124] 25,def [123] streaming,coverage [122] 30,live [118] coverage,itspmagazine Top Word Pairs in Tweet in G7:
[19] #infosec,#infosecurity [19] #infosecurity,#cybersecurity [19] #cybersecurity,#threatintel [19] #threatintel,#threatintelligence [11] need,part [11] part,#infosec [11] #infosec,crowd [11] crowd,matter [11] matter,#cybersecurity [11] #cybersecurity,member Top Word Pairs in Tweet in G8:
[9] #promoedutech,#influencerpromotion [8] #influencerpromotion,#topcasestudy [6] #brest,#paris [5] #yourmustread,#influencerpromotion [5] #custserv,#ai [5] #womenintech,#technology [4] #fintech,#custserv [4] #yourplatformwiththeheart,#promoedutech [4] #influencerpromotion,#ai [4] #ai,#iot Top Word Pairs in Tweet in G9:
[20] 2022,#devops [17] august,15 [17] 15,2022 [17] cybersecurity,researchers [17] targets,using [17] using,emojis [16] #devops,#cloud [16] researchers,devised [16] devised,way [16] way,pwn Top Word Pairs in Tweet in G10:
[5] trcfwtt,teresaccarter2 [5] teresaccarter2,lealovesusa [3] gal_suburban,trcfwtt [3] lealovesusa,durham [3] durham,alleged [3] alleged,joffe [3] joffe,assoc [3] assoc,exploited [3] exploited,access [3] access,co Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: