The graph represents a network of 6,466 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 Thursday, 08 October 2020 at 06:43 UTC.
The requested start date was Tuesday, 06 October 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 3-day, 0-hour, 45-minute period from Friday, 02 October 2020 at 14:26 UTC to Monday, 05 October 2020 at 15:11 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 : 6466
Unique Edges : 4440
Edges With Duplicates : 12267
Total Edges : 16707
Number of Edge Types : 5
Retweet : 5001
MentionsInRetweet : 6364
Mentions : 2718
Tweet : 2474
Replies to : 150
Self-Loops : 2586
Reciprocated Vertex Pair Ratio : 0.0183206106870229
Reciprocated Edge Ratio : 0.0359820089955022
Connected Components : 1502
Single-Vertex Connected Components : 904
Maximum Vertices in a Connected Component : 3553
Maximum Edges in a Connected Component : 12750
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 5.215857
Graph Density : 0.000175515020684076
Modularity : 0.431562
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 6,466 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 Thursday, 08 October 2020 at 06:43 UTC.
The requested start date was Tuesday, 06 October 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 3-day, 0-hour, 45-minute period from Friday, 02 October 2020 at 14:26 UTC to Monday, 05 October 2020 at 15:11 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:
[601] cyber,security [510] awareness,month [458] october,2020 [445] days,go [444] last,call [441] go,last [441] call,register [441] register,virtual [441] virtual,future [441] future,tech Top Word Pairs in Tweet in G1:
[141] cyber,security [109] awareness,month [84] cybersecurity,awareness [47] national,cybersecurity [30] learn,more [28] #cybersecurity,#security [26] security,awareness [25] october,national [19] ready,place [19] place,call Top Word Pairs in Tweet in G2:
[100] gt,gt [83] #cybersecurity,#infosec [70] #cybersecurity,#security [47] cyber,security [47] #news,#cybersecurity [42] #infosec,#cybersecurity [39] #cybersecurity,#digital [36] read,more [33] #digital,#hackers [30] #cyberattacks,#cybersecurity Top Word Pairs in Tweet in G3:
[50] #cybersecurity,#infosec [28] cyber,security [27] #cybersecurity,#security [26] #security,#cybersecurity [21] awareness,month [18] #finance,#money [18] #money,#business [18] #business,#entrepreneur [17] #entrepreneur,#investment [16] learn,more Top Word Pairs in Tweet in G4:
[400] #machinelearning,#iot [305] #100daysofcode,#machinelearning [242] #python,#rstats [241] #bigdata,#analytics [207] #coding,#bigdata [207] #analytics,#datascientist [206] #datascientist,#machinelearning [205] #iot,#100daysofmlcode [193] #programming,#coding [187] #100daysofmlcode,#python Top Word Pairs in Tweet in G5:
[438] days,go [438] go,last [438] last,call [438] call,register [438] register,virtual [438] virtual,future [438] future,tech [438] tech,event [438] event,07 [438] 07,08 Top Word Pairs in Tweet in G6:
[92] awareness,month [75] cybersecurity,awareness [38] national,cybersecurity [22] part,#becybersmart [16] cyber,security [15] learn,more [15] during,national [14] october,cybersecurity [12] staysafeonline,idtheftcenter [11] day,four Top Word Pairs in Tweet in G7:
[28] awareness,month [26] cyber,security [26] security,awareness [15] observe,cyber [15] month,pledge [15] pledge,stay [15] stay,safe [15] safe,online [15] online,use [15] use,latest Top Word Pairs in Tweet in G8:
[26] #infosec,#security [17] #security,#ceptbiro [16] #ceptbiro,#cybersecurity [15] #internetofthings,#cybersecurity [14] #cybersecurity,#infosec [13] highly,recommended [13] recommended,reading [13] reading,europol [13] europol,ec3europol [13] ec3europol,internet Top Word Pairs in Tweet in G9:
[8] #cybersecurity,#technology [7] happy,#worldteachersday [7] #worldteachersday,read [7] read,incredible [7] incredible,story [7] story,#netacad [7] #netacad,instructor [7] instructor,gustavo [7] gustavo,salazar [7] salazar,see Top Word Pairs in Tweet in G10:
[92] concern,re [92] re,national [92] national,security [92] security,possibility [92] possibility,foes [92] foes,taking [92] taking,advantage [92] advantage,situation [92] situation,very [92] very,low Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: