The graph represents a network of 2,825 Twitter users whose tweets in the requested range contained "(corona OR virus OR covid) ("Gov MI" OR GovWhitmer)", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 11 May 2021 at 00:50 UTC.
The requested start date was Monday, 10 May 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 22-hour, 48-minute period from Monday, 26 April 2021 at 00:39 UTC to Sunday, 09 May 2021 at 23:28 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 : 2825
Unique Edges : 5336
Edges With Duplicates : 5016
Total Edges : 10352
Number of Edge Types : 5
Mentions : 2691
Replies to : 938
MentionsInRetweet : 5085
Retweet : 1619
Tweet : 19
Self-Loops : 22
Reciprocated Vertex Pair Ratio : 0.0118190463252276
Reciprocated Edge Ratio : 0.0233619763694952
Connected Components : 16
Single-Vertex Connected Components : 12
Maximum Vertices in a Connected Component : 2795
Maximum Edges in a Connected Component : 10325
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.526934
Graph Density : 0.000933590714231994
Modularity : 0.455152
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 2,825 Twitter users whose tweets in the requested range contained "(corona OR virus OR covid) (%22Gov MI%22 OR GovWhitmer)", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 11 May 2021 at 00:50 UTC.
The requested start date was Monday, 10 May 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 22-hour, 48-minute period from Monday, 26 April 2021 at 00:39 UTC to Sunday, 09 May 2021 at 23:28 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 : GraphServerTwitterSearch
Graph Term : (corona OR virus OR covid) (%22Gov MI%22 OR GovWhitmer)
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:
[463] covid,19 [420] nursing,homes [399] patients,nursing [382] covid,infected [376] infected,patients [372] nygovcuomo,govwhitmer [364] buddy,nygovcuomo [364] govwhitmer,admitted [364] admitted,covid [364] homes,gets Top Word Pairs in Tweet in G1:
[99] covid,19 [60] advice,india [60] india,same [60] same,advice [60] advice,govwhitmer [60] govwhitmer,couple [60] couple,weeks [60] weeks,ago [59] celinegounder,advice [48] covid,numbers Top Word Pairs in Tweet in G2:
[355] nursing,homes [355] nygovcuomo,govwhitmer [354] patients,nursing [350] buddy,nygovcuomo [350] govwhitmer,admitted [350] admitted,covid [350] covid,infected [350] infected,patients [350] homes,gets [350] gets,rewarded Top Word Pairs in Tweet in G3:
[70] covid,19 [43] covid,vaccine [42] under,govwhitmer's [42] govwhitmer's,vacc [42] vacc,normal [42] normal,plan [42] plan,844 [42] 844,000 [42] 000,michiganians [42] michiganians,need Top Word Pairs in Tweet in G4:
[278] joined,govmikedewine [246] govmikedewine,govholcomb [245] govholcomb,govpritzker [230] covid,19 [223] doesn,care [223] care,state [222] govwhitmer,covid [222] state,lines [221] 19,doesn [221] lines,political Top Word Pairs in Tweet in G5:
[31] ashishkjha,govwhitmer [23] realzach_morris,govwhitmer [18] hhsgov,govwhitmer [18] jakehallberg,govwhitmer [14] preferthefacts,darrylw99300703 [14] darrylw99300703,hhsgov [12] observe_truths,jakehallberg [10] covid,patients [9] stevenbritt13,preferthefacts [8] govwhitmer,covid Top Word Pairs in Tweet in G6:
[7] cnn,govwhitmer [7] washingtonpost,ed [7] ed,april [7] april,mi's [7] mi's,surge [7] surge,advised [7] advised,guidelines [7] guidelines,established [7] established,firmly [7] firmly,tie Top Word Pairs in Tweet in G7:
[13] michiganders,need [12] travel,around [12] around,florida [12] florida,haven [12] haven,seen [12] seen,parents [12] parents,over [12] over,year [12] year,dad [12] dad,died Top Word Pairs in Tweet in G8:
[30] ericlloyd,govwhitmer [29] govwhitmer,9and10news [24] inbox,govwhitmer [24] service,during [23] john,kennedy [23] kennedy,library [23] library,foundation [23] foundation,profile [23] profile,courage [23] courage,award Top Word Pairs in Tweet in G9:
[13] dystateofmind,repcohen [13] repcohen,rephankjohnson [13] rephankjohnson,repteddeutch [13] repteddeutch,repjeffries [13] repjeffries,davidcicilline [13] davidcicilline,tedlieu [13] tedlieu,repraskin [13] repraskin,repjayapal [8] prof_kennedy,dystateofmind [7] repjayapal,repg Top Word Pairs in Tweet in G10:
[17] districtai,drkellyvictory [17] drkellyvictory,ianmsc [15] btysonmd,districtai [14] bluebeagle,govwhitmer [13] ianmsc,iamtheactualet [10] govwhitmer,hold2llc [10] hold2llc,btysonmd [7] stevenslikkers,bluebeagle [5] govwhitmer,btysonmd [4] thethirdcraig1,stevenslikkers 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 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:
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: