The graph represents a network of 5,432 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, 19 April 2022 at 06:44 UTC.
The requested start date was Tuesday, 19 April 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 3-day, 1-hour, 51-minute period from Friday, 15 April 2022 at 22:10 UTC to Tuesday, 19 April 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 : 5432
Unique Edges : 4007
Edges With Duplicates : 12722
Total Edges : 16729
Number of Edge Types : 5
Retweet : 5338
MentionsInRetweet : 7047
Mentions : 1813
Tweet : 2236
Replies to : 295
Self-Loops : 2377
Reciprocated Vertex Pair Ratio : 0.00966183574879227
Reciprocated Edge Ratio : 0.0191387559808612
Connected Components : 1014
Single-Vertex Connected Components : 512
Maximum Vertices in a Connected Component : 3048
Maximum Edges in a Connected Component : 13284
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.291077
Graph Density : 0.000247956082588121
Modularity : 0.417378
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 5,432 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, 19 April 2022 at 06:44 UTC.
The requested start date was Tuesday, 19 April 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 3-day, 1-hour, 51-minute period from Friday, 15 April 2022 at 22:10 UTC to Tuesday, 19 April 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:
[637] cyber,security [381] sign,free [350] #infosec,#cybersecurity [332] #cybersecurity,#infosec [332] #womenwhocode,#programming [260] #machinelearning,#python [253] need,#job [253] #job,sign [251] #artificialintelligence,#machinelearning [250] #100daysofcode,#codenewbie Top Word Pairs in Tweet in G1:
[353] sign,free [322] #womenwhocode,#programming [247] #100daysofcode,#codenewbie [246] #codenewbie,#womenwhocode [238] #machinelearning,#python [236] need,#job [236] #job,sign [230] #programming,#datascience [230] #artificialintelligence,#machinelearning [224] uv,light Top Word Pairs in Tweet in G2:
[82] cyber,security [15] #cybersecurity,#infosec [14] cybersecurity,experts [13] environment,read [12] proactively,addressing [12] addressing,vulnerabilities [12] vulnerabilities,iot [12] iot,ot [12] ot,environment [12] read,mfstsecurity Top Word Pairs in Tweet in G3:
[265] #infosec,#cybersecurity [162] #pentesting,#oscp [149] #cybersecurity,#infosec [123] #cybersecurity,#cybersecuritytips [121] #oscp,#informationsecurity [105] #cybersecuritytips,#pentesting [92] cheat,sheet [66] #informationsecurity,#cissp [61] #cybersecurity,#pentesting [58] active,directory Top Word Pairs in Tweet in G4:
[96] cybersecurity,advisory [80] joint,cybersecurity [74] cisagov,ustreasury [69] threat,associated [68] #fbi,cisagov [68] ustreasury,issued [68] issued,joint [68] advisory,warning [68] warning,#cyber [68] #cyber,threat Top Word Pairs in Tweet in G5:
[61] #cybersecurity,#infosec [39] #news,#cybersecurity [10] #cybersecurity,#cybercrime [8] #cybersecurity,#security [7] nso,spyware [6] #fintech,#insurtech [6] ftc,chair [6] #cybersecurity,#fintech [6] #infosec,#security [6] cve,2022 Top Word Pairs in Tweet in G6:
[44] #cybersecurity,#infosec [18] #cybersecurity,#security [16] ics,scada [15] #security,#cybersecurity [13] scada,devices [13] cyber,security [12] #cybersecurity,#cybersecuritynews [11] #cybersecuritynews,#cybersec [9] #infosec,#cybersecurity [9] #infosec,#infosecurity Top Word Pairs in Tweet in G7:
[75] targeted,using [74] catalan,leaders [74] leaders,targeted [74] using,nso [74] nso,spyware [74] spyware,cybersecurity [74] cybersecurity,experts [73] guardiannews,catalan [30] guardiannews,#catalangate [30] #catalangate,dozens Top Word Pairs in Tweet in G8:
[41] best,tools [41] tools,bug [41] bug,bounty [41] bounty,hunters [41] hunters,amass [41] amass,sublister [41] sublister,gauplus [41] gauplus,httpx [41] httpx,gf [41] gf,tool Top Word Pairs in Tweet in G9:
[101] cyber,security [95] 4n6lady,cyber [95] security,optional [3] #infosec,#cybersecurity [2] grumpy4n6,here's [2] here's,funny [2] funny,part [2] part,need [2] need,big [2] big,budget Top Word Pairs in Tweet in G10:
[99] interested,career [99] career,paths [99] paths,project [99] project,management [99] management,business [99] business,analysis [99] analysis,data [99] data,analysis [99] analysis,product [99] product,management Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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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 G3:
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Top Tweeters in G5:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: