The graph represents a network of 14,219 Twitter users whose recent tweets contained "Archegos", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Tuesday, 13 April 2021 at 02:00 UTC.
The tweets in the network were tweeted over the 6-day, 12-hour, 32-minute period from Tuesday, 06 April 2021 at 11:54 UTC to Tuesday, 13 April 2021 at 00:27 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 : 14219
Unique Edges : 17877
Edges With Duplicates : 4863
Total Edges : 22740
Number of Edge Types : 5
Retweet : 11081
MentionsInRetweet : 3243
Mentions : 2087
Tweet : 5277
Replies to : 1052
Self-Loops : 5362
Reciprocated Vertex Pair Ratio : 0.0078740157480315
Reciprocated Edge Ratio : 0.015625
Connected Components : 3062
Single-Vertex Connected Components : 2339
Maximum Vertices in a Connected Component : 9584
Maximum Edges in a Connected Component : 16975
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.732957
Graph Density : 7.9142983582253E-05
Modularity : 0.661139
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 14,219 Twitter users whose recent tweets contained "Archegos", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Tuesday, 13 April 2021 at 02:00 UTC.
The tweets in the network were tweeted over the 6-day, 12-hour, 32-minute period from Tuesday, 06 April 2021 at 11:54 UTC to Tuesday, 13 April 2021 at 00:27 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 : TwitterSearch
Graph Term : Archegos
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:
[4258] credit,suisse [3408] bill,hwang [3394] 20,billion [2725] two,days [2554] hwang,20 [2543] billion,lost [2539] lost,two [2449] archegos,capital [1746] morgan,stanley [1255] days,bw Top Word Pairs in Tweet in G1:
[762] credit,suisse [331] archegos,capital [326] morgan,stanley [208] bill,hwang [203] fire,sale [199] hedge,fund [175] 20,billion [174] billion,archegos [159] stanley,dumped [158] night,before Top Word Pairs in Tweet in G2:
[2250] bill,hwang [2145] 20,billion [2117] two,days [2088] hwang,20 [2086] billion,lost [2086] lost,two [1147] days,bw [288] credit,suisse [241] borrowed,money [240] fast,rise Top Word Pairs in Tweet in G3:
[406] morgan,stanley [382] benefiting,material [382] material,inside [382] inside,information [382] information,gt [251] archegos,stock [241] credit,suisse [207] hedge,funds [191] stanley,sells [191] sells,archegos Top Word Pairs in Tweet in G4:
[415] credit,suisse [192] night,before [146] hedge,funds [138] billion,shares [129] morgan,stanley [122] unwitting,hedge [121] #archegos,stocks [120] morganstanley,unloaded [120] unloaded,billion [120] shares,#archegos Top Word Pairs in Tweet in G5:
[477] 20,billion [476] archegos,capital [466] capital,management [463] archegos,saga [457] thin,air [454] story,last [454] last,few [454] few,weeks [454] weeks,finance [454] finance,secretive Top Word Pairs in Tweet in G6:
[132] credit,suisse [74] archegos,capital [68] milliards,cause [67] faillite,d'archegos [63] semaine,après [63] après,avoir [63] avoir,annoncé [63] annoncé,perte [63] perte,milliards [63] cause,faillite Top Word Pairs in Tweet in G7:
[489] credit,suisse [283] suisse,hit [283] hit,taking [283] taking,archegos [283] archegos,7b [283] 7b,entirety [283] entirety,2020 [283] 2020,net [283] net,income [283] income,8b Top Word Pairs in Tweet in G8:
[194] credit,suisse [94] morgan,stanley [83] 20,billion [81] bill,hwang [81] two,days [78] hwang,20 [78] billion,lost [78] lost,two [68] fire,sale [66] billion,archegos Top Word Pairs in Tweet in G9:
[146] credit,suisse [92] family,office [71] archegos,capital [54] bill,hwang [49] family,offices [42] piece,archegos [40] hedge,fund [40] wrote,sec [39] before,archegos [39] letter,co Top Word Pairs in Tweet in G10:
[171] モルガンスタンレーはアルケゴスが飛ぶ一日前に50億ドル分の株を小さいヘッジファンド数社に売りつけたようです,ディスカウントだと思って買ったヘッジファンドは見事にやられたのですね [158] クレディスイスはやっぱり5000億円やられたようです,担当者はクビとのこと [10] ほんの数日で2兆円失ったアルケゴスのhwang氏の半生,ビリオネアは世界に数多くいるが現金に近い資産を2兆円持ってる人は稀 [10] ビリオネアは世界に数多くいるが現金に近い資産を2兆円持ってる人は稀,仮に家族が10億円くらい持ってるとすれば [10] 仮に家族が10億円くらい持ってるとすれば,破産しても生活には困る訳じゃないし投資好きな人なら2兆円を全力5階建てにするのは不思議ではない [7] reuters,自動翻訳 [7] 自動翻訳,co [3] クレディ,スイス [3] アルケゴス後の国内企業によるリスクの高い貿易を調査するための日本のfsaと日銀,日経 [3] 日経,reuters Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: