The graph represents a network of 5,072 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, 12 April 2022 at 06:50 UTC.
The requested start date was Tuesday, 12 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 5-day, 1-hour, 45-minute period from Wednesday, 06 April 2022 at 22:15 UTC to Tuesday, 12 April 2022 at 00:00 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 : 5072
Unique Edges : 4086
Edges With Duplicates : 12802
Total Edges : 16888
Number of Edge Types : 5
Tweet : 2501
Retweet : 5249
MentionsInRetweet : 7090
Replies to : 286
Mentions : 1762
Self-Loops : 2560
Reciprocated Vertex Pair Ratio : 0.0138446628824588
Reciprocated Edge Ratio : 0.027311211252219
Connected Components : 1031
Single-Vertex Connected Components : 543
Maximum Vertices in a Connected Component : 2511
Maximum Edges in a Connected Component : 12916
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.471574
Graph Density : 0.000284718822375268
Modularity : 0.393985
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 5,072 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, 12 April 2022 at 06:50 UTC.
The requested start date was Tuesday, 12 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 5-day, 1-hour, 45-minute period from Wednesday, 06 April 2022 at 22:15 UTC to Tuesday, 12 April 2022 at 00:00 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:
[671] #infosec,#cybersecurity [561] cyber,security [404] #cybersecurity,#infosec [389] cheat,sheet [360] #pentesting,#oscp [341] love,finding [341] finding,undiscovered [341] undiscovered,#gem [341] #gem,something [341] something,ton Top Word Pairs in Tweet in G1:
[164] #cybersecurity,#infosec [128] #infosec,#cybersecurity [94] #infosec,#infosecurity [91] #infosecurity,#cybersecurity [87] threat,intelligence [85] predicted,malicious [85] malicious,domain [85] precrime,threat [85] intelligence,threat [85] threat,agnostic Top Word Pairs in Tweet in G2:
[248] #100daysofcode,#codenewbie [215] #programming,#datascience [203] #infosecurity,#cybersecurity [203] #cybersecurity,#threatintel [202] #codenewbie,#womenwhocode [201] #womenwhocode,#programming [201] #infosec,#infosecurity [183] #datascience,#academictwitter [156] #machinelearning,#ai [152] #ai,#python Top Word Pairs in Tweet in G3:
[113] cyber,security [17] learn,more [13] #infosec,#cybersecurity [12] zero,trust [12] thoma,bravo [10] #cybersecurity,#infosec [10] read,more [10] artificial,intelligence [9] cybersecurity,company [9] bravo,buy Top Word Pairs in Tweet in G4:
[414] #infosec,#cybersecurity [275] #pentesting,#oscp [243] #oscp,#informationsecurity [195] #cybersecurity,#cybersecuritytips [193] cheat,sheet [171] #cybersecuritytips,#pentesting [147] sheet,#infosec [118] #informationsecurity,#cissp [111] #cybersecurity,#pentesting [100] #cybersecurity,#infosec Top Word Pairs in Tweet in G5:
[341] love,finding [341] finding,undiscovered [341] undiscovered,#gem [341] #gem,something [341] something,ton [341] ton,news [341] news,coming [341] coming,available [341] available,#bsc [341] #bsc,apeswap Top Word Pairs in Tweet in G6:
[23] #cybersecurity,#infosec [10] #infosec,#cybersecurity [10] world,#pingcastle [10] #pingcastle,finding [10] finding,#8 [10] #8,non [10] non,admin [10] admin,users [10] users,add [10] add,computers Top Word Pairs in Tweet in G7:
[22] #steam,#indiegames [22] #indiegames,#indiedev [22] #indiedev,#indiegamedev [22] #indiegamedev,#science [22] #science,#laicism [22] #laicism,#tfsm [22] #tfsm,#lgbt [22] #lgbt,#lgbtq [22] #lgbtq,#infosec [22] #infosec,#steampunk Top Word Pairs in Tweet in G8:
[47] florida,police [47] police,arrested [47] arrested,cybersecurity [47] cybersecurity,expert [47] expert,allegedly [47] allegedly,stole [47] stole,576 [47] 576,000 [47] 000,#cryptocurrency [46] watcherguru,florida Top Word Pairs in Tweet in G9:
[10] #cybersecurity,#infosec [10] radware's,cloud [10] cloud,native [10] native,protector [10] protector,detect [10] detect,threat [10] threat,correlate [10] correlate,individual [10] individual,events [10] events,time Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G10:
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:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: