The graph represents a network of 4,964 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, 01 February 2022 at 07:47 UTC.
The requested start date was Tuesday, 01 February 2022 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 3-day, 1-hour, 16-minute period from Friday, 28 January 2022 at 23:04 UTC to Tuesday, 01 February 2022 at 00:21 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 : 4964
Unique Edges : 3965
Edges With Duplicates : 13957
Total Edges : 17922
Number of Edge Types : 5
Retweet : 5822
MentionsInRetweet : 7870
Tweet : 2080
Mentions : 1946
Replies to : 204
Self-Loops : 2189
Reciprocated Vertex Pair Ratio : 0.0100954224865164
Reciprocated Edge Ratio : 0.0199890470974808
Connected Components : 737
Single-Vertex Connected Components : 345
Maximum Vertices in a Connected Component : 3190
Maximum Edges in a Connected Component : 15512
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.182041
Graph Density : 0.000296472705433585
Modularity : 0.368678
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 4,964 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, 01 February 2022 at 07:47 UTC.
The requested start date was Tuesday, 01 February 2022 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 3-day, 1-hour, 16-minute period from Friday, 28 January 2022 at 23:04 UTC to Tuesday, 01 February 2022 at 00:21 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:
[513] potus,discussed [513] discussed,america [513] america,governors [513] governors,today [513] today,working [513] working,solving [513] solving,both [513] both,historic [513] historic,challenges [513] challenges,ones Top Word Pairs in Tweet in G1:
[390] free,charge [326] sign,free [316] gave,kred [316] kred,#influence [315] job,sign [253] #machinelearning,#ai [241] #nfts,#cybersecurity [240] hey,devs [240] devs,take [240] take,survey Top Word Pairs in Tweet in G2:
[509] potus,discussed [509] discussed,america [509] america,governors [509] governors,today [509] today,working [509] working,solving [509] solving,both [509] both,historic [509] historic,challenges [509] challenges,ones Top Word Pairs in Tweet in G3:
[103] #cybersecurity,#infosec [93] #infosec,#cybersecurity [63] #cybersecurity,#pentesting [55] #pentesting,#oscp [41] #privacy,#security [40] #news,#cybersecurity [38] #oscp,#informationsecurity [37] threat,intelligence [36] data,privacy [36] predicted,malicious Top Word Pairs in Tweet in G4:
[62] #cybersecurity,#infosec [30] data,privacy [27] cyber,security [27] #infosec,#cybersecurity [25] #hacking,#cybersecurity [21] zero,trust [18] cybersecurity,news [18] #microsoft,#hacking [17] job,sign [16] learn,more Top Word Pairs in Tweet in G5:
[64] cyber,security [24] learn,secure [24] secure,personal [24] personal,information [24] information,better [24] better,cybersecurity [24] cybersecurity,tips [24] tips,mobile [24] mobile,apps [23] fallen,prey Top Word Pairs in Tweet in G6:
[144] #infosec,#cybersecurity [125] #cybersecurity,#pentesting [121] #pentesting,#oscp [92] #oscp,#informationsecurity [67] #informationsecurity,#hacking [63] #hacking,#cissp [63] #cissp,#redteam [47] credit,#infosec [42] #redteam,#cybersec [41] collection,awesome Top Word Pairs in Tweet in G7:
[7] learn,more [7] against,cybercrime [7] cybercrime,financial [7] financial,systems [7] systems,global [7] global,jurisdictions [7] jurisdictions,seek [7] seek,establish [7] establish,network [7] network,monetary Top Word Pairs in Tweet in G8:
[73] tech,one [73] one,best [73] best,ways [73] ways,become [73] become,remain [73] remain,millionaire [73] millionaire,young [73] young,person [73] person,need [73] need,put Top Word Pairs in Tweet in G9:
[81] apologize,everything [81] everything,under [81] under,control [81] control,currently [81] currently,getting [81] getting,discord [81] discord,triple [81] triple,checked [81] checked,cyber [81] cyber,security Top Word Pairs in Tweet in G10:
[17] opportunities,within [16] asked,go [16] go,tuesday [16] tuesday,1st [16] 1st,february [16] february,7pm [16] 7pm,gmt [16] gmt,11am [16] 11am,pt [16] pt,going 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:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: