The graph represents a network of 4,589 Twitter users whose recent tweets contained "gavinnewsom", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/7/2023 5:00:33 PM. The network was obtained from Twitter on Wednesday, 08 March 2023 at 14:26 UTC.
The tweets in the network were tweeted over the 783-day, 3-hour, 28-minute period from Wednesday, 13 January 2021 at 21:32 UTC to Wednesday, 08 March 2023 at 01:00 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 : 4589
Unique Edges : 5351
Edges With Duplicates : 21836
Total Edges : 27187
Number of Edge Types : 9
Replies to : 3669
MentionsInReplyTo : 15763
MentionsInRetweet : 4042
Retweet : 1556
Quote : 371
Mentions : 631
MentionsInQuote : 863
Tweet : 153
MentionsInQuoteReply : 139
Self-Loops : 465
Reciprocated Vertex Pair Ratio : 0.0341325036603221
Reciprocated Edge Ratio : 0.066011857357756
Connected Components : 15
Single-Vertex Connected Components : 9
Maximum Vertices in a Connected Component : 4567
Maximum Edges in a Connected Component : 27155
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.660317
Graph Density : 0.000536754146367598
Modularity : 0.259814
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,589 Twitter users whose recent tweets contained "gavinnewsom", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/7/2023 5:00:33 PM. The network was obtained from Twitter on Wednesday, 08 March 2023 at 14:26 UTC.
The tweets in the network were tweeted over the 783-day, 3-hour, 28-minute period from Wednesday, 13 January 2021 at 21:32 UTC to Wednesday, 08 March 2023 at 01:00 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 : gavinnewsom
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:
[3046] gavinnewsom,walgreens [471] davidwohl,gavinnewsom [389] ophello,davidwohl [289] lilagracerose,gavinnewsom [254] karinavlaw,gavinnewsom [163] dc_draino,gavinnewsom [144] gavin,newsom [136] jairorod01_,ophello [126] walgreens,walgreens [121] states,combined Top Word Pairs in Tweet in G1:
[1336] gavinnewsom,walgreens [149] dc_draino,gavinnewsom [76] walgreens,walgreens [51] lifenewshq,gavinnewsom [41] crime,state [39] toothbrushes,deodorant [39] walgreens,lock [38] deodorant,crime [38] state,pretty [38] lock,toothbrushes Top Word Pairs in Tweet in G2:
[224] gavinnewsom,walgreens [98] gavinnewsom,need [97] need,more [95] governors,stand [95] more,governors [95] companies,devalue [95] stand,companies [95] devalue,lives [95] lives,women [95] huzzah,gavinnewsom Top Word Pairs in Tweet in G3:
[1247] gavinnewsom,walgreens [463] davidwohl,gavinnewsom [387] ophello,davidwohl [257] lilagracerose,gavinnewsom [248] karinavlaw,gavinnewsom [136] jairorod01_,ophello [87] urtoez75_2,lilagracerose [71] tattoo_guy75,jairorod01_ [66] mikeloftus_,ophello [61] mr_groshong,mikeloftus_ Top Word Pairs in Tweet in G4:
[101] bonnierawson4,jscottshep [101] jscottshep,powderpuff1999 [99] powderpuff1999,donnedia [98] kimby55,owlguadalupe1 [98] darkblue420,bonnierawson4 [97] adavaco,darkblue420 [57] gorubenruben,kimby55 [57] owlguadalupe1,rosecol72060185 [56] rosecol72060185,adavaco [51] rondesantisfl,gavinnewsom Top Word Pairs in Tweet in G5:
[66] cagovernor,gavinnewsom [45] millanpatterson,gavinnewsom [28] gavinnewsom,walgreens [21] govern,state [21] californians,impacted [21] failures,don [21] effectively,course [21] gavinnewsom,govern [21] state,effectively [21] impacted,failures Top Word Pairs in Tweet in G6:
[42] brookejenkinssf,gavinnewsom [42] londonbreed,brookejenkinssf [42] tuckercarlson,foxnews [42] gavinnewsom,sfbos [41] sfbos,shellenbergermd [41] abc7,pbs [41] drphil,tuckercarlson [41] kron4news,scott_wiener [41] joerogan,benshapiro [41] foxnews,abc7 Top Word Pairs in Tweet in G7:
[79] newsom,well [79] sees,insufficiently [79] punish,walgreens [79] dedicated,pro [79] walgreens,sees [79] well,within [79] pro,choice [79] insufficiently,dedicated [79] within,rights [79] rights,punish Top Word Pairs in Tweet in G8:
[10] lt,governor [9] security,technology [9] california,spoke [9] good,meeting [9] governor,gavinnewsom [9] meeting,governor [9] governor,eleniforca [9] eleniforca,california [9] spoke,security [9] gavinnewsom,lt Top Word Pairs in Tweet in G9:
[87] cancel,women [87] canceling,cancel [87] women,reproductive [87] reproductive,rights [87] scream,canceling [86] markruffalo,scream Top Word Pairs in Tweet in G10:
[16] govkathyhochul,re [14] biaggi4ny,govkathyhochul [3] reuters,shannon [3] tedcruz,leadermcconnell [3] netanyahu,realdonaldtrump [3] michael,moore [3] donaldjtrumpjr,marklevinshow [3] drwilliewilson,paulvallas [3] marshablackburn,govkemp [3] walgreens,walgreensnews Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
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:
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:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: