The graph represents a network of 5,843 Twitter users whose recent tweets contained "#SVBCollapse", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 3/4/2023 11:35:42 AM and 3/11/2023 11:35:42 AM. The network was obtained from Twitter on Saturday, 11 March 2023 at 19:42 UTC.
The tweets in the network were tweeted over the 4935-day, 18-hour, 24-minute period from Saturday, 05 September 2009 at 01:11 UTC to Saturday, 11 March 2023 at 19:35 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 : 5843
Unique Edges : 2972
Edges With Duplicates : 9279
Total Edges : 12251
Number of Edge Types : 9
Retweet : 3575
MentionsInRetweet : 4026
Mentions : 625
Tweet : 1957
Replies to : 589
MentionsInReplyTo : 648
Quote : 606
MentionsInQuote : 149
MentionsInQuoteReply : 76
Self-Loops : 2308
Reciprocated Vertex Pair Ratio : 0.00767684152805703
Reciprocated Edge Ratio : 0.0152367132232904
Connected Components : 1314
Single-Vertex Connected Components : 901
Maximum Vertices in a Connected Component : 3622
Maximum Edges in a Connected Component : 8917
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.377778
Graph Density : 0.000161506703743973
Modularity : 0.476129
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 5,843 Twitter users whose recent tweets contained "#SVBCollapse", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 3/4/2023 11:35:42 AM and 3/11/2023 11:35:42 AM. The network was obtained from Twitter on Saturday, 11 March 2023 at 19:42 UTC.
The tweets in the network were tweeted over the 4935-day, 18-hour, 24-minute period from Saturday, 05 September 2009 at 01:11 UTC to Saturday, 11 March 2023 at 19:35 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 : #SVBCollapse
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:
[1349] silicon,valley [1275] valley,bank [640] greg,becker [601] risk,management [550] bank,#svb [544] 700,40 [540] ceo,silicon [539] management,strategy [538] fell,700 [538] gadde,#svbbank Top Word Pairs in Tweet in G1:
[136] silicon,valley [125] valley,bank [104] #svb,#svbcollapse [64] #svbcollapse,#svbcrash [44] #caturday,#svbcollapse [36] #svbcollapse,#svb [35] #svbcollapse,#helluvaboss [30] #svbcrash,#svbcollapse [27] grant,#caturday [26] #svbbank,#svbcollapse Top Word Pairs in Tweet in G2:
[548] greg,becker [546] silicon,valley [523] valley,bank [463] bank,#svb [461] #svb,greg [461] friday,member [461] ceo,silicon [461] member,board [461] directors,federal [461] board,directors Top Word Pairs in Tweet in G3:
[489] vijaya,gadde [489] bank,risk [489] toss,stocks [489] #svbbank,bank [489] gadde,#svbbank [489] management,strategy [489] 700,40 [489] risk,management [489] stocks,fell [489] strategy,went Top Word Pairs in Tweet in G4:
[272] morning,believing [272] make,uninsured [272] depositors,whole [272] whole,forgiving [272] wake,morning [272] believing,vital [272] uninsured,depositors [272] vital,federal [272] federal,govt [272] govt,make Top Word Pairs in Tweet in G5:
[47] silicon,valley [43] valley,bank [40] #svbcollapse,#svbcrash [32] #svb,#svbcollapse [23] reaching,implications [23] sadly,svb_financial [23] far,reaching [23] revealed,coming [23] implications,revealed [23] jpmorgan,citi Top Word Pairs in Tweet in G6:
[187] silicon,valley [185] valley,bank [134] collapse,silicon [122] #svbcollapse,#svb [121] before,collapse [120] shares,#svbcollapse [120] executives,sold [120] sold,lot [120] bank,executives [120] gregory,becker Top Word Pairs in Tweet in G7:
[32] #svb,#svbcollapse [27] #svbcollapse,#siliconvalleybank [25] happened,48 [25] second,biggest [25] bank,collapse [25] hours,#svb [25] biggest,bank [25] 48,hours [25] history,happened [25] collapse,history Top Word Pairs in Tweet in G8:
[83] haha,#svb [83] brilliant,haha [83] #svb,#svbcollapse [82] mackieau79,brilliant [36] banks,afford [36] afford,lose [36] #svbcrash,#svbcollapse [36] lose,bank [36] keep,money [36] money,banks Top Word Pairs in Tweet in G9:
[135] event,before [135] luciferian,doctrine [135] aware,event [135] tried,warn [135] warn,usual [135] made,aware [135] usual,one [135] one,listened [135] listened,luciferian [135] doctrine,made Top Word Pairs in Tweet in G10:
[39] silicon,valley [38] valley,bank [19] basic,income [19] universal,basic [19] need,banks [17] #svbcollapse,#usdt [17] banks,universal [17] stand,against [17] happen,again [17] capitalism,#svbcollapse Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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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:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: