The graph represents a network of 4,444 Twitter users whose recent tweets contained "cyberwar", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/12/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 13 March 2023 at 07:33 UTC.
The tweets in the network were tweeted over the 2156-day, 0-hour, 21-minute period from Sunday, 16 April 2017 at 22:20 UTC to Sunday, 12 March 2023 at 22:41 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 4444
Unique Edges : 2317
Edges With Duplicates : 8136
Total Edges : 10453
Number of Edge Types : 9
Mentions : 550
Retweet : 3014
MentionsInRetweet : 3810
Replies to : 481
MentionsInReplyTo : 979
Tweet : 1445
Quote : 107
MentionsInQuote : 58
MentionsInQuoteReply : 9
Self-Loops : 1882
Reciprocated Vertex Pair Ratio : 0.0244111349036403
Reciprocated Edge Ratio : 0.0476588628762542
Connected Components : 865
Single-Vertex Connected Components : 561
Maximum Vertices in a Connected Component : 1431
Maximum Edges in a Connected Component : 4299
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.822174
Graph Density : 0.000242292966636299
Modularity : 0.470637
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,444 Twitter users whose recent tweets contained "cyberwar", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/12/2023 5:00:36 PM. The network was obtained from Twitter on Monday, 13 March 2023 at 07:33 UTC.
The tweets in the network were tweeted over the 2156-day, 0-hour, 21-minute period from Sunday, 16 April 2017 at 22:20 UTC to Sunday, 12 March 2023 at 22:41 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : cyberwar
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:
[1039] watching,porn [1039] zahawi,tax [1039] prince,andrew [1039] andrew,nonce [1039] sniffing,coke [1039] dodging,several [1039] porn,sniffing [1039] several,million [1039] mps,watching [1039] nonce,nadhim Top Word Pairs in Tweet in G1:
[1039] sniffing,coke [1039] tax,dodging [1039] pounds,mps [1039] nonce,nadhim [1039] porn,sniffing [1039] mps,watching [1039] several,million [1039] andrew,nonce [1039] nadhim,zahawi [1039] prince,andrew Top Word Pairs in Tweet in G2:
[109] state,policy [109] instrument,state [109] china,prominent [109] actor,world [109] world,politics [109] used,cyberwar [109] prominent,actor [109] significantly,used [109] cyberwar,instrument [109] politics,significantly Top Word Pairs in Tweet in G3:
[149] #cybercrime,#cyberwar [132] back,#cybercrime [132] account,back [132] retweet,message [132] instagram,account [132] message,instagram [124] #cyberwar,#hacker [116] #hacker,#hacker [107] #cyber,#cybersecurity [99] #cybersecurity,#cyberattacks Top Word Pairs in Tweet in G4:
[169] ago,anonymous [169] officially,#cyberwar [169] announced,officially [169] #cyberwar,against [169] collective,announced [169] anonymous,collective [169] exactly,year [169] against,#russian [169] year,ago [159] anonymousnn3,exactly Top Word Pairs in Tweet in G5:
[159] announced,officially [159] ago,anonymous [159] #cyberwar,against [159] against,#russian [159] exactly,year [159] anonymous,collective [159] collective,announced [159] year,ago [159] officially,#cyberwar [158] youranontv,exactly Top Word Pairs in Tweet in G6:
[105] sheer,warmongering [105] former,pm [105] warmongering,opinion [105] cyberwar,sheer [105] #china,launch [105] opinion,disregards [105] launch,cyberwar [105] pm,warns [105] disregards,wikileaks [105] warns,#china Top Word Pairs in Tweet in G7:
[3] potential,corruptibility [3] kings,cyberwar [3] swedish,kings [2] tip_ct,webguytv [2] takethatct,westozdaz [2] umfpt,andrew7rd [2] randyupton33,imfletcherlives [2] fra,swedish [2] lifechoicen,arduatendit [2] mummymobbsback1,teamphil Top Word Pairs in Tweet in G8:
[25] cyberwar,understanding [25] understanding,enemy [25] art,cyberwar [25] know,yourself [25] enemy,know [25] enemy,victory [25] victory,gained [25] yourself,enemy [24] 780thc,art [12] protracted,adversary Top Word Pairs in Tweet in G9:
[30] jamming,russian [30] russian,military [15] hackers,jamming [15] software,defined [15] military,rf [15] rf,signals [15] defined,radio [15] radio,hackers [15] ukraine,software [14] scada,hacking Top Word Pairs in Tweet in G10:
[43] cyberwar,ukraine [37] ukraine,endured [37] year,represents [36] clear,cyberwar [36] represents,measures [27] endured,past [27] past,year [26] increasingly,clear [26] becoming,increasingly [23] arstechnica,becoming Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: