The graph represents a network of 1,169 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 Monday, 14 June 2021 at 00:42 UTC.
The requested start date was Monday, 14 June 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, 11-hour, 9-minute period from Monday, 31 May 2021 at 00:09 UTC to Sunday, 13 June 2021 at 11:19 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 : 1169
Unique Edges : 1160
Edges With Duplicates : 2504
Total Edges : 3664
Number of Edge Types : 5
Replies to : 265
Mentions : 1147
MentionsInRetweet : 1481
Retweet : 764
Tweet : 7
Self-Loops : 14
Reciprocated Vertex Pair Ratio : 0.010941960038059
Reciprocated Edge Ratio : 0.0216470588235294
Connected Components : 4
Single-Vertex Connected Components : 2
Maximum Vertices in a Connected Component : 1165
Maximum Edges in a Connected Component : 3659
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.686806
Graph Density : 0.00155632961083703
Modularity : 0.3637
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 1,169 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 Monday, 14 June 2021 at 00:42 UTC.
The requested start date was Monday, 14 June 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, 11-hour, 9-minute period from Monday, 31 May 2021 at 00:09 UTC to Sunday, 13 June 2021 at 11:19 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:
[211] covid,patients [178] nursing,home [169] long,term [169] term,care [169] care,facilities [160] death,count [159] mdhhs,director [157] mirisingaction,watch [156] watch,govwhitmer's [155] covid,nursing Top Word Pairs in Tweet in G1:
[138] covid,patients [126] remember,govwhitmer [126] treatment,covid [126] many,deaths [125] govwhitmer,threatened [125] threatened,doctors [125] doctors,prescribed [125] prescribed,certain [125] certain,treatment [125] patients,many Top Word Pairs in Tweet in G2:
[149] nursing,home [146] death,count [145] mdhhs,director [145] mirisingaction,watch [145] watch,govwhitmer's [140] long,term [140] term,care [140] care,facilities [139] govwhitmer's,mdhhs [139] director,admitted Top Word Pairs in Tweet in G3:
[57] opinion,coincidence [57] coincidence,worst [57] worst,virus [57] virus,outbreaks [57] outbreaks,took [57] took,place [57] place,states [57] states,failed [57] failed,protect [54] dcexaminer,opinion Top Word Pairs in Tweet in G4:
[30] governor,restricting [30] restricting,business [30] business,operations [30] operations,continuing [30] continuing,force [30] force,public [30] public,wear [30] wear,masks [30] masks,16 [30] 16,month Top Word Pairs in Tweet in G5:
[43] covid,patients [39] really,crazy [39] crazy,govwhitmer's [39] govwhitmer's,admin [39] admin,'time [39] 'time,consuming' [39] consuming',determine [39] determine,deceased [39] deceased,covid [38] tori_sachs,really Top Word Pairs in Tweet in G6:
[7] govwhitmer,speakerpelosi [7] speakerpelosi,potus [6] willieb1two3,govwhitmer [5] dickdawson10,sallybodoll [4] sallybodoll,chefbabyd [4] chefbabyd,lovelypanic33 [4] lovelypanic33,willieb1two3 [2] ao43799819,achristianvet [2] achristianvet,mlong2872 [2] mlong2872,jesster62203870 Top Word Pairs in Tweet in G7:
[3] contraaffair,nofeardreams [3] nofeardreams,goneaye [3] goneaye,pan_dejo_ [3] pan_dejo_,angel_13_rising [3] angel_13_rising,sodarkmark [3] sodarkmark,jackcanfacefuc1 [3] jackcanfacefuc1,georgefloyd_com [2] georgefloyd_com,cathyjo26199086 [2] cathyjo26199086,redstateyankee [2] redstateyankee,_trollkiller Top Word Pairs in Tweet in G8:
[29] govwhitmer,michiganhhs [29] michiganhhs,many [29] many,young [29] young,michiganians [29] michiganians,dying [29] dying,covid [29] covid,#youngmichigancoviddeaths [18] cleavon_md,drleanawen [18] drleanawen,georebekah [18] georebekah,facesofcovid Top Word Pairs in Tweet in G9:
[9] govwhitmer,heidiwashington [8] heidiwashington,chrisgautz [7] dananessel,govwhitmer [7] chrisgautz,dananessel [7] dananessel,ltgovgilchrist [7] #openmidoor,#endsolitary [6] ltgovgilchrist,michigandoc [6] thousands,mass [6] mass,incarcerated [5] cure,covid Top Word Pairs in Tweet in G10:
[2] possible,72 [2] 72,people [2] people,died [2] died,one [2] one,day [2] day,last [2] last,week [2] week,#chinavirus [2] #chinavirus,causing Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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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:
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Top Mentioned in G4:
Top Mentioned in G5:
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Top Mentioned in G7:
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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:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: