The graph represents a network of 3,748 Twitter users whose recent tweets contained "#MR", 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 3/15/2023 5:00:36 PM. The network was obtained from Twitter on Thursday, 16 March 2023 at 18:09 UTC.
The tweets in the network were tweeted over the 3268-day, 4-hour, 1-minute period from Thursday, 03 April 2014 at 19:46 UTC to Wednesday, 15 March 2023 at 23:47 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 : 3748
Unique Edges : 2834
Edges With Duplicates : 7374
Total Edges : 10208
Number of Edge Types : 9
Retweet : 2010
MentionsInRetweet : 3040
Tweet : 2667
Replies to : 401
MentionsInReplyTo : 914
Mentions : 774
Quote : 124
MentionsInQuote : 268
MentionsInQuoteReply : 10
Self-Loops : 3273
Reciprocated Vertex Pair Ratio : 0.0262216924910608
Reciprocated Edge Ratio : 0.0511033681765389
Connected Components : 1458
Single-Vertex Connected Components : 1135
Maximum Vertices in a Connected Component : 468
Maximum Edges in a Connected Component : 2546
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.950295
Graph Density : 0.000245233540087139
Modularity : 0.391781
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,748 Twitter users whose recent tweets contained "#MR", 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 3/15/2023 5:00:36 PM. The network was obtained from Twitter on Thursday, 16 March 2023 at 18:09 UTC.
The tweets in the network were tweeted over the 3268-day, 4-hour, 1-minute period from Thursday, 03 April 2014 at 19:46 UTC to Wednesday, 15 March 2023 at 23:47 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 : #MR
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:
[482] #mr,children [404] #mr,dior [353] time,2023 [353] 2023,03 [328] #mr,#xr [243] #ai,#mr [241] #gainwithstewartilondanga,#ar [237] #ar,#ai [221] blu,ray [209] #xr,#5g Top Word Pairs in Tweet in G1:
[393] #mr,dior [348] time,2023 [346] 2023,03 [278] #mr,children [136] dior,dior [136] dior,time [129] mr,children [102] #ミスチル,#mr [96] ##mr,children [85] bot,twitt Top Word Pairs in Tweet in G2:
[75] #vr,#mr [71] #iot,#iiot [71] #ar,#vr [63] #ai,#ml [53] #mr,#xr [44] #iotpremierleague,#iotpl [41] #iotcommunity,#iotcl [40] congrats,#iotcommunity [38] #ai,#machinelearning [38] #iotpl,#iiot Top Word Pairs in Tweet in G3:
[25] l',umons [23] slogans,#mr [22] tout,petit [19] michelhenrion,paulmagnette [17] qu,ils [16] plus,plus [14] s'il,faut [14] incertain,slogans [14] futur,plus [14] plus,incertain Top Word Pairs in Tweet in G4:
[54] #vr,#mr [44] mixed,reality [41] #ar,#vr [33] #mr,#mixedreality [32] #tech,#technology [30] #mixedreality,#extendedreality [27] microsoft,oculus [27] reality,solve [27] growing,research [27] common,metaverse Top Word Pairs in Tweet in G5:
[172] blu,ray [134] kumquat45288441,mr [127] 手に取って頂いた方,ありがとうございます [127] ありがとうございます,#ツキヨミ [61] ray,ランク外 [54] #kingandprince,#mr [49] dvd,第6位 [49] 第6位,blu [31] blu,rayともにtop10以内キープ [31] の11日付オリコンランキング,dvd Top Word Pairs in Tweet in G6:
[62] dmdholpur,diprrajasthan [34] campaigns,run [34] mr,campaigns [34] run,various [34] state,bit [34] information,risks [34] bit,share [34] share,important [34] various,state [34] important,information Top Word Pairs in Tweet in G7:
[143] #kingandprince,#firstdometour2022 [121] #firstdometour2022,#mr [77] kingandprince_j,mr [44] #mr,#madeintour [44] 離れないでほしい,#kingandprince [44] #madeintour,kingandprince_j [43] sho1997_kp,離れないでほしい [42] king,prince [40] prince,first [40] dome,tour Top Word Pairs in Tweet in G8:
[12] #iwd2023,#embraceequity [12] #internationalwomensday,#tucker [12] link,#internationalwomensday [12] #tucker,#lamar [12] app,link [11] #schumer,#happybirthdaysuga [11] #aewdynamite,#mr [11] #happybirthdaysuga,#aewdynamite [11] #embraceequity,#capitol [11] #lamar,#shawnkemp Top Word Pairs in Tweet in G9:
[24] 60k,dojocoin [24] v1,airdrop [24] well,miss [24] laughed,shared [24] dojo,v1 [24] shared,dojo [24] miss,v2 [24] v2,60k [24] airdrop,well [13] #ai,#mr Top Word Pairs in Tweet in G10:
[69] gallery,東京 [69] 行きました,mewさんいっぱい [69] upstairs,gallery [69] project,2023 [69] birthday,project [69] 下のカフェも良き,#mewsuppasit [69] birthday,gallery [69] 東京,upstairs [69] gallery,行きました [69] mewさんいっぱい,下のカフェも良き 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 G4:
Top Replied-To in G7:
Top Replied-To in G8:
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: