The graph represents a network of 15,865 Twitter users whose recent tweets contained "Newsom", 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 Wednesday, 15 September 2021 at 23:10 UTC.
The tweets in the network were tweeted over the 2-hour, 8-minute period from Wednesday, 15 September 2021 at 19:58 UTC to Wednesday, 15 September 2021 at 22:07 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 : 15865
Unique Edges : 22184
Edges With Duplicates : 2520
Total Edges : 24704
Number of Edge Types : 5
Retweet : 14593
Replies to : 2047
Tweet : 2853
MentionsInRetweet : 2997
Mentions : 2214
Self-Loops : 2931
Reciprocated Vertex Pair Ratio : 0.0045752263533038
Reciprocated Edge Ratio : 0.00910877798552184
Connected Components : 1969
Single-Vertex Connected Components : 1172
Maximum Vertices in a Connected Component : 12382
Maximum Edges in a Connected Component : 21054
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.432738
Graph Density : 8.28782756169324E-05
Modularity : 0.737976
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 15,865 Twitter users whose recent tweets contained "Newsom", 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 Wednesday, 15 September 2021 at 23:10 UTC.
The tweets in the network were tweeted over the 2-hour, 8-minute period from Wednesday, 15 September 2021 at 19:58 UTC to Wednesday, 15 September 2021 at 22:07 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 : Newsom
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:
[8192] gavin,newsom [2248] last,night [2137] recall,election [1904] gov,newsom [1268] gov,gavin [1153] devin,nunes [988] nunes,district [983] newsom,recall [967] newsom,carried [964] carried,devin Top Word Pairs in Tweet in G1:
[1401] gavin,newsom [499] recall,election [453] last,night [345] california,recall [282] newsom,wins [265] newsom,won [258] governor,california [257] hard,believe [257] believe,recall [257] election,strengthened Top Word Pairs in Tweet in G2:
[330] gavin,newsom [180] recall,election [94] california,recall [90] newsom,recall [68] gov,gavin [49] keep,newsom [49] newsom,office [47] voted,keep [40] gavin,newsom's [40] majority,voters Top Word Pairs in Tweet in G3:
[685] gavin,newsom [660] last,night [650] newsom,carried [650] carried,devin [650] devin,nunes [650] nunes,district [650] district,last [650] night,ruh [650] ruh,roh [31] recall,election Top Word Pairs in Tweet in G4:
[251] gavin,newsom [120] newsom,allies [120] allies,already [120] already,moving [120] moving,fix [120] fix,recall [120] recall,process [120] process,wonder [120] wonder,includes [120] includes,quirk Top Word Pairs in Tweet in G5:
[601] gavin,newsom [510] last,night [492] gov,newsom [470] landslide,victory [460] gov,gavin [460] newsom,elected [460] elected,61 [460] 61,vote [460] vote,2018 [460] 2018,last Top Word Pairs in Tweet in G6:
[178] gavin,newsom [71] gov,gavin [61] newsom,survives [52] last,night [52] newsom,won [49] swing,right [48] overstate,need [48] need,put [48] put,year [48] year,races Top Word Pairs in Tweet in G7:
[452] gavin,newsom [401] newsom,named [401] named,haul [401] haul,salesperson [401] salesperson,year [74] newsom,recall [74] year,old [74] old,daughter [40] next,year [37] life,impact Top Word Pairs in Tweet in G8:
[384] gavin,newsom [262] governor,newsom [259] californians,know [258] pandemic,reminded [258] reminded,count [258] count,californians [258] know,count [258] count,governor [254] governor,gavin [245] congratulations,friend Top Word Pairs in Tweet in G9:
[404] gov,newsom [330] rejecting,recall [326] voting,rights [325] resoundingly,rejecting [325] recall,attempt [325] voters,made [325] made,clear [325] clear,american [325] american,people [325] people,leaders Top Word Pairs in Tweet in G10:
[235] gavin,newsom [150] gov,newsom [116] congrats,gov [116] newsom,congrats [116] congrats,california [101] newsom,wins [95] today,biden [95] biden,admin [95] admin,major [95] major,drop Top Replied-To in Entire Graph:
Top Replied-To in G1:
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 G9:
Top Replied-To in G10:
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:
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Top Tweeters in G3:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: