The graph represents a network of 4,100 Twitter users whose tweets in the requested range contained "#MR", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 17 February 2022 at 19:44 UTC.
The requested start date was Thursday, 17 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 2-day, 14-hour, 50-minute period from Monday, 14 February 2022 at 10:05 UTC to Thursday, 17 February 2022 at 00:56 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 : 4100
Unique Edges : 3493
Edges With Duplicates : 13481
Total Edges : 16974
Number of Edge Types : 5
Retweet : 2292
MentionsInRetweet : 3241
Tweet : 528
Mentions : 6323
Replies to : 4590
Self-Loops : 565
Reciprocated Vertex Pair Ratio : 0.00951474785918173
Reciprocated Edge Ratio : 0.0188501413760603
Connected Components : 320
Single-Vertex Connected Components : 213
Maximum Vertices in a Connected Component : 2038
Maximum Edges in a Connected Component : 12955
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.710915
Graph Density : 0.000378795542041783
Modularity : 0.322235
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 4,100 Twitter users whose tweets in the requested range contained "#MR", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 17 February 2022 at 19:44 UTC.
The requested start date was Thursday, 17 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 2-day, 14-hour, 50-minute period from Monday, 14 February 2022 at 10:05 UTC to Thursday, 17 February 2022 at 00:56 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 : #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:
[4395] #mr,#nfts [4370] #bnb,#btc [4359] #nftproject,#metaverse [4357] #bscgem,#bnb [4350] #btc,#usdt [4349] #usdt,#minting [4349] #minting,#mr [3735] #metaverse,#bsc [3573] #bsc,#bscgem [3560] #nfts,#nft Top Word Pairs in Tweet in G1:
[1252] キンプリ初のドームツアー決定,4大ドーム全10公演 [1252] 4大ドーム全10公演,mr [1252] mr,スポット映像も公開 [1252] スポット映像も公開,#キンプリ [1252] #キンプリ,#4大ドームツアー [1252] #4大ドームツアー,#mr [1252] #mr,#平野紫耀 [1252] #平野紫耀,#永瀬廉 [1252] #永瀬廉,#高橋海人 [1252] #高橋海人,#岸優太 Top Word Pairs in Tweet in G2:
[2204] #bnb,#btc [2191] #nftproject,#metaverse [2190] #bscgem,#bnb [2184] #btc,#usdt [2184] #mr,#nfts [2183] #usdt,#minting [2183] #minting,#mr [1975] #metaverse,#bsc [1814] #bsc,#bscgem [1788] #nfts,#nft Top Word Pairs in Tweet in G3:
[1323] #nftproject,#metaverse [1322] #bscgem,#bnb [1321] #bnb,#btc [1321] #btc,#usdt [1321] #usdt,#minting [1321] #minting,#mr [1321] #mr,#nfts [1028] #metaverse,#bsc [1028] #bsc,#bscgem [1025] #nfts,#nft Top Word Pairs in Tweet in G4:
[142] #augmentedreality,#mixedreality [126] #vr,#mr [117] #vr,#ar [97] contact,lenses [95] #ar,#vr [92] #metaverse,#augmentedreality [90] smart,contact [90] lenses,#ar [90] #ar,display [90] display,technology Top Word Pairs in Tweet in G5:
[504] #nftproject,#metaverse [504] #bscgem,#bnb [504] #bnb,#btc [504] #btc,#usdt [504] #usdt,#minting [504] #minting,#mr [504] #mr,#nfts [427] #metaverse,#bsc [427] #bsc,#bscgem [427] #nfts,#nft Top Word Pairs in Tweet in G6:
[109] #mr,children [45] children,#ミスチル [28] ##mr,children [21] #mr,bot [21] bot,twitt [16] モイ,捨てネコがトラック乗るってよー [16] 捨てネコがトラック乗るってよー,#mr [12] #kingandprince,#mr [10] 歌える,歌える [10] hari,ini Top Word Pairs in Tweet in G7:
[105] #kingandprince,#mr [87] キンプリちゃん,ファーストドームツアーおめでと [87] ファーストドームツアーおめでと,いきなり4大ドームすごいし [87] いきなり4大ドームすごいし,ツアータイトルmr [87] ツアータイトルmr,ってエモすぎ [87] ってエモすぎ,ロゴ完全にvsの時のこれだよね [87] ロゴ完全にvsの時のこれだよね,今回はティアラかぶってる [87] 今回はティアラかぶってる,#kingandprince [87] #kingandprince,#love_life_live [86] myy_moage,キンプリちゃん Top Word Pairs in Tweet in G8:
[290] #nftproject,#metaverse [290] #bscgem,#bnb [290] #bnb,#btc [290] #btc,#usdt [290] #usdt,#minting [290] #minting,#mr [290] #mr,#nfts [265] #metaverse,#bsc [265] #bsc,#bscgem [265] #nfts,#nft Top Word Pairs in Tweet in G9:
[51] #nftproject,#metaverse [51] #bscgem,#bnb [51] #bnb,#btc [51] #btc,#usdt [51] #usdt,#minting [51] #minting,#mr [51] #mr,#nfts [39] #metaverse,#bsc [39] #bsc,#bscgem [39] #nfts,#nft Top Word Pairs in Tweet in G10:
[23] #augmentedreality,#virtualreality [23] #mr,#mixedreality [20] #tech,#technology [19] #vr,#mr [18] #virtualreality,#ar [18] #ar,#vr [18] #mixedreality,#extendedreality [18] #xr,#tech [17] #extendedreality,#xr [11] #technology,#metaverse Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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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 G10: