The graph represents a network of 1,519 Twitter users whose recent tweets contained "#AskGovNewsom", 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 Thursday, 02 April 2020 at 22:43 UTC.
The tweets in the network were tweeted over the 1-day, 0-hour, 54-minute period from Wednesday, 01 April 2020 at 21:33 UTC to Thursday, 02 April 2020 at 22:27 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 : 1519
Unique Edges : 2233
Edges With Duplicates : 739
Total Edges : 2972
Number of Edge Types : 5
Retweet : 921
Tweet : 763
Replies to : 460
MentionsInRetweet : 402
Mentions : 426
Self-Loops : 770
Reciprocated Vertex Pair Ratio : 0.00446927374301676
Reciprocated Edge Ratio : 0.00889877641824249
Connected Components : 509
Single-Vertex Connected Components : 471
Maximum Vertices in a Connected Component : 941
Maximum Edges in a Connected Component : 2345
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.084659
Graph Density : 0.000779758543733699
Modularity : 0.516704
NodeXL Version : 1.0.1.429
Data Import : The graph represents a network of 1,519 Twitter users whose recent tweets contained "#AskGovNewsom", 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 Thursday, 02 April 2020 at 22:43 UTC.
The tweets in the network were tweeted over the 1-day, 0-hour, 54-minute period from Wednesday, 01 April 2020 at 21:33 UTC to Thursday, 02 April 2020 at 22:27 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 : #AskGovNewsom
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:
[241] questions,#askgovnewsom [237] gavin,newsom [237] below,tweet [236] newsom,answering [236] 00pm,pt [235] californians,governor [235] governor,gavin [235] answering,#covid19 [235] #covid19,questions [235] questions,twitter Top Word Pairs in Tweet in G1:
[30] covid,19 [12] #askgovnewsom,please [8] shelter,place [8] stay,home [7] #askgovnewsom,ca [7] back,work [7] governor,newsom [7] #askgovnewsom,governor [7] nursing,students [7] during,crisis Top Word Pairs in Tweet in G2:
[216] below,tweet [214] californians,governor [214] governor,gavin [214] gavin,newsom [214] newsom,answering [214] answering,#covid19 [214] #covid19,questions [214] questions,twitter [214] twitter,today [214] today,00pm Top Word Pairs in Tweet in G3:
[74] pay,months [73] mortgage,payments [63] back,rent [53] eviction,moratorium [52] months,back [49] #cancelrent,mortgage [47] constituents,pay [44] cagovernor,constituents [44] rent,aren [44] aren,working Top Word Pairs in Tweet in G4:
[48] translators,interpreters [47] #askgovnewsom,#ab5 [44] frontlines,#covid19 [39] work,home [34] ab5,restricts [34] due,#ab5 [33] #askgovnewsom,suspend [33] independent,contractors [32] suspend,ab5 [32] home,work Top Word Pairs in Tweet in G5:
[14] #askgovnewsom,bitwise [14] bitwise,stir [14] stir,again [14] again,unable [14] unable,find [14] find,thank [14] pay,rent [14] 12,months [13] thank,juniorv82110213 [13] juniorv82110213,hi Top Word Pairs in Tweet in G6:
[17] #askgovnewsom,doing [17] doing,address [17] address,serious [17] serious,edd [17] edd,backlog [15] backlog,yorrose [15] yorrose,repurposed [15] repurposed,200 [15] 200,state [15] state,employees Top Word Pairs in Tweet in G7:
[4] safeandjust,state [4] state,#reentry [4] workwthecoach,misterjayjordan [4] misterjayjordan,gherbo [4] gherbo,t_stewartca [4] t_stewartca,timedone [4] timedone,lareentry [4] lareentry,bossbayarea [4] bossbayarea,rootandrebound [4] rootandrebound,justicelanow Top Word Pairs in Tweet in G8:
[4] #maga,#trump [4] #trump,#trump2020 [4] #trump2020,#covid19pandemic [4] #covid19pandemic,#thursdaythoughts [4] #thursdaythoughts,#worldautismawarenessday [4] #worldautismawarenessday,#askgovnewsom [4] #askgovnewsom,#usa [4] #usa,#boycottchina [4] #boycottchina,#boycottchineseproducts [4] #boycottchineseproducts,#chinavirus Top Word Pairs in Tweet in G9:
[2] close,california [2] adopted,policy [2] policy,ban Top Word Pairs in Tweet in G10:
[8] everybody,responding [8] responding,#askgovnewsom [5] #askgovnewsom,pay [5] pay,800 [5] 800,llc [5] llc,tax [5] tax,april [5] april,15 [5] 15,between [5] between,#ab5 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: