The graph represents a network of 2,137 Twitter users whose recent tweets contained "#CAcomeback", 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 Friday, 14 May 2021 at 04:42 UTC.
The tweets in the network were tweeted over the 3-day, 10-hour, 38-minute period from Monday, 10 May 2021 at 17:43 UTC to Friday, 14 May 2021 at 04:22 UTC.
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 : 2137
Unique Edges : 3321
Edges With Duplicates : 1554
Total Edges : 4875
Number of Edge Types : 5
Retweet : 2925
Mentions : 388
Replies to : 85
MentionsInRetweet : 1324
Tweet : 153
Self-Loops : 168
Reciprocated Vertex Pair Ratio : 0.00795174115711544
Reciprocated Edge Ratio : 0.0157780195865071
Connected Components : 64
Single-Vertex Connected Components : 50
Maximum Vertices in a Connected Component : 2019
Maximum Edges in a Connected Component : 4727
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.688208
Graph Density : 0.000805322312948777
Modularity : 0.424373
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 2,137 Twitter users whose recent tweets contained "#CAcomeback", 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 Friday, 14 May 2021 at 04:42 UTC.
The tweets in the network were tweeted over the 3-day, 10-hour, 38-minute period from Monday, 10 May 2021 at 17:43 UTC to Friday, 14 May 2021 at 04:22 UTC.
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 : #CAcomeback
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:
[1544] #cacomeback,plan [1295] small,businesses [748] small,business [688] tax,cut [640] roaring,back [633] back,pandemic [632] state,tax [632] come,roaring [630] grant,program [630] pandemic,#cacomeback Top Word Pairs in Tweet in G1:
[1141] small,businesses [588] small,business [574] tax,cut [570] pandemic,#cacomeback [561] grant,program [559] business,grant [559] back,pandemic [558] come,roaring [558] roaring,back [556] largest,state Top Word Pairs in Tweet in G2:
[579] #cacomeback,plan [327] public,schools [260] reimagine,public [173] plan,proposes [125] universal,pre [125] time,transformational [125] transformational,change [116] recovery,underway [114] savings,accounts [110] accounts,million Top Word Pairs in Tweet in G3:
[533] #cacomeback,plan [173] plan,includes [168] cagovernor,#cacomeback [154] public,spaces [151] investment,transform [151] transform,clean [151] clean,public [151] spaces,near [151] near,highways [151] create,15k Top Word Pairs in Tweet in G4:
[184] #cacomeback,plan [70] 12,billion [57] small,business [43] cagovernor,#cacomeback [40] ending,homelessness [37] billion,tackle [37] tens,thousands [37] thousands,people [36] crisis,helping [36] helping,tens Top Word Pairs in Tweet in G5:
[69] california,state [68] thank,everyone [68] everyone,left [68] left,california [68] state,stimulus [68] stimulus,check [68] check,500 [68] 500,instead [68] instead,600 [68] 600,enjoy Top Word Pairs in Tweet in G6:
[4] #cacomeback,plan [3] let's,#roarback [3] #roarback,time [3] time,fund [3] fund,#childcare [3] #childcare,2m [3] 2m,ca [3] ca,kids [3] kids,waitlist [3] waitlist,#cacomeback Top Word Pairs in Tweet in G7:
[25] easily,duped [23] lmao,#democrats [23] #democrats,running [23] running,#california [23] #california,years [23] years,sudden [23] sudden,inspired [23] inspired,roll [23] roll,sleeves [23] sleeves,make Top Word Pairs in Tweet in G8:
[64] health,care [32] profit,driven [32] driven,private [32] private,insurance [32] insurance,system [32] system,denying [32] denying,health [32] care,bankrupting [32] bankrupting,millions [32] millions,californians Top Word Pairs in Tweet in G9:
[25] #cacomeback,plan [14] cagovernor,#cacomeback [14] schools,serve [14] serve,whole [14] whole,child [13] transform,schools [12] public,schools [12] plan,transform [12] child,converting [12] converting,thousands Top Word Pairs in Tweet in G10:
[10] amidst,challenging [10] challenging,drought [10] drought,conditions [10] conditions,gavinnewsom [10] gavinnewsom,announced [10] announced,today [10] today,historic [10] historic,billion [10] billion,proposed [10] proposed,investment Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: