The graph represents a network of 3,924 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, 21 July 2020 at 06:35 UTC.
The requested start date was Tuesday, 21 July 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 2-hour, 12-minute period from Sunday, 19 July 2020 at 03:40 UTC to Monday, 20 July 2020 at 05:52 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 : 3924
Unique Edges : 2469
Edges With Duplicates : 9094
Total Edges : 11563
Number of Edge Types : 5
Retweet : 4073
MentionsInRetweet : 4932
Tweet : 1316
Mentions : 1139
Replies to : 103
Self-Loops : 1365
Reciprocated Vertex Pair Ratio : 0.00763074632421366
Reciprocated Edge Ratio : 0.0151459179903953
Connected Components : 451
Single-Vertex Connected Components : 227
Maximum Vertices in a Connected Component : 2884
Maximum Edges in a Connected Component : 10125
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.429821
Graph Density : 0.00035169884704621
Modularity : 0.415205
NodeXL Version : 1.0.1.438
Data Import : The graph represents a network of 3,924 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, 21 July 2020 at 06:35 UTC.
The requested start date was Tuesday, 21 July 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 1-day, 2-hour, 12-minute period from Sunday, 19 July 2020 at 03:40 UTC to Monday, 20 July 2020 at 05:52 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:
[787] russian,hackers [775] john,brennan [775] brennan,book [775] book,rigged [775] rigged,told [775] told,russian [775] hackers,ability [775] ability,alter [775] alter,voter [775] voter,data Top Word Pairs in Tweet in G1:
[763] john,brennan [763] brennan,book [763] book,rigged [763] rigged,told [763] told,russian [763] russian,hackers [763] hackers,ability [763] ability,alter [763] alter,voter [763] voter,data Top Word Pairs in Tweet in G2:
[113] #infosec,#cybersecurity [109] #cybersecurity,#digital [103] #cybersecurity,#infosec [75] #digital,#hackers [70] #hackers,#infosec [67] #cybersecurity,#security [62] #infosec,#security [56] cyber,security [48] read,more [45] grep,grep Top Word Pairs in Tweet in G3:
[59] gt,gt [46] mobile,app [46] app,security [46] security,vulnerabilities [36] #analytics,#startups [33] cyber,security [30] mitigate,#datascience [29] #datascience,#analytics [24] #cybersecurity,#iot [23] vulnerabilities,mitigate Top Word Pairs in Tweet in G4:
[61] cyber,security [9] 2020,07 [7] top,cybersecurity [7] sample,submitted [7] submitted,2020 [7] dionaea,honeypot [7] honeypot,protocol [7] protocol,smbd [7] smbd,sources [7] sources,ffff Top Word Pairs in Tweet in G5:
[61] #cybersecurity,#infosec [35] #infosec,#ethicalhacking [34] #infosec,#hacking [32] #ethicalhacking,#bugbounty [31] #datascience,#cybersecurity [27] #python,#rstats [25] #bigdata,#analytics [25] #java,#javascript [24] #hacking,#hackers [23] #hackers,#pentesting Top Word Pairs in Tweet in G6:
[108] ve,researching [108] researching,essvote [108] essvote,machine [108] machine,vulnerabilities [108] vulnerabilities,came [108] came,something [108] something,strange [108] strange,chris [108] chris,wlaschin [108] wlaschin,vp Top Word Pairs in Tweet in G7:
[85] china,russia [85] russia,grow [85] grow,stronger [85] stronger,questions [85] questions,america [85] america,international [85] international,security [85] security,remain [85] remain,murky [85] murky,invest Top Word Pairs in Tweet in G8:
[116] cyber,security [108] free,cyber [105] security,course [51] great,news [51] news,free [51] course,kindly [51] kindly,contact [51] contact,nearest [51] nearest,csc [51] csc,free Top Word Pairs in Tweet in G9:
[20] avoiding,social [20] social,engineering [20] engineering,phishing [20] phishing,attacks [20] attacks,cyber [20] cyber,#cybersafely [20] #cybersafely,#cybersecurity [20] #cybersecurity,#socialengineering [16] dci_kenya,avoiding [9] smartphone,application Top Word Pairs in Tweet in G10:
[18] network,basics [18] basics,hackers [18] hackers,understand [18] understand,basics [18] basics,network [18] network,protocols [18] protocols,hacker [18] hacker,perspective [18] perspective,#networkbasics [17] three_cube,network Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G9:
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:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: