The graph represents a network of 5,512 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, 26 January 2021 at 07:40 UTC.
The requested start date was Tuesday, 26 January 2021 at 01:01 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, 51-minute period from Thursday, 21 January 2021 at 00:45 UTC to Saturday, 23 January 2021 at 02:36 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 : 5512
Unique Edges : 4375
Edges With Duplicates : 13046
Total Edges : 17421
Number of Edge Types : 5
Retweet : 5572
MentionsInRetweet : 6948
Mentions : 2236
Tweet : 2396
Replies to : 269
Self-Loops : 2486
Reciprocated Vertex Pair Ratio : 0.0127396900446546
Reciprocated Edge Ratio : 0.0251588639605758
Connected Components : 1006
Single-Vertex Connected Components : 512
Maximum Vertices in a Connected Component : 3137
Maximum Edges in a Connected Component : 14011
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.661339
Graph Density : 0.000253846443542523
Modularity : 0.405679
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 5,512 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, 26 January 2021 at 07:40 UTC.
The requested start date was Tuesday, 26 January 2021 at 01:01 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, 51-minute period from Thursday, 21 January 2021 at 00:45 UTC to Saturday, 23 January 2021 at 02:36 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:
[521] cyber,security [387] #ai,#100daysofcode [334] #machinelearning,#datascience [307] #cybersecurity,#infosec [277] #python,#ai [268] #datascience,#python [219] machine,learning [187] #programming,#iot [182] #cybersecurity,#security [178] #infosec,#cybersecurity Top Word Pairs in Tweet in G1:
[364] #ai,#100daysofcode [304] #machinelearning,#datascience [253] #python,#ai [245] #datascience,#python [177] #programming,#iot [177] machine,learning [154] #100daysofcode,#iot [151] #machinelearning,#ml [141] #iot,#iotpl [138] #iotpl,#ai Top Word Pairs in Tweet in G2:
[169] #cybersecurity,#infosec [93] #infosec,#cybersecurity [62] #cybersecurity,#security [58] #news,#cybersecurity [45] #cybersecurity,#technology [44] cyber,attacks [38] #security,#infosecurity [34] #cybersecurity,#hacking [34] free,web [34] web,proxy Top Word Pairs in Tweet in G3:
[46] #cybersecurity,#infosec [33] #cybersecurity,#security [26] #infosec,#cybersecurity [24] cyber,security [18] infrastructure,security [14] zero,trust [14] #security,#cybersecurity [14] #cybersecurity,news [13] learn,more [13] #internetofthings,#cybersecurity Top Word Pairs in Tweet in G4:
[113] cyber,security [16] cybersecurity,team [14] 10,fastest [14] fastest,growing [14] growing,cybersecurity [14] cybersecurity,skills [14] skills,learn [14] learn,2021 [13] people,experience [13] experience,application Top Word Pairs in Tweet in G5:
[53] hiring,cybersecurity [52] 21,21 [52] 21,cybersecurity [52] cybersecurity,job [52] job,thread [52] thread,hiring [52] cybersecurity,professionals [52] professionals,please [52] please,drop [52] drop,link Top Word Pairs in Tweet in G6:
[92] enter,follow [90] m4a4,cybersecurity [90] cybersecurity,10 [90] 10,#csgogiveaway [90] #csgogiveaway,enter [90] follow,csgorudolf [90] csgorudolf,retweet [90] retweet,sub [90] sub,comment [89] csgorudolf,m4a4 Top Word Pairs in Tweet in G7:
[24] cybersecurity,professional [23] hackers,wanted [23] wanted,cybersecurity [23] professional,ron [23] ron,woerner [23] woerner,ronw123 [23] ronw123,explains [23] explains,world [23] world,needs [23] needs,more Top Word Pairs in Tweet in G8:
[44] gt,gt [28] cybersecurity,team [22] gt,big [22] big,hack [22] hack,government [22] government,biden [22] biden,enlists [22] enlists,'world [22] 'world,class' [22] class',cybersecurity Top Word Pairs in Tweet in G9:
[68] core,tec [68] tec,instagram [42] message,core [34] instagram,professional [34] professional,cyber [34] cyber,security [34] security,expert [34] expert,helped [34] helped,recover [34] recover,hacked Top Word Pairs in Tweet in G10:
[45] democrats,seek [45] seek,answers [45] answers,impact [45] impact,russian [45] russian,cyberattack [45] cyberattack,justice [45] justice,department [45] department,courts [44] thehill,democrats [21] biden's,covid Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
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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: