The graph represents a network of 1,102 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, 29 November 2021 at 01:42 UTC.
The requested start date was Monday, 29 November 2021 at 01:01 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 12-day, 22-hour, 17-minute period from Monday, 15 November 2021 at 09:34 UTC to Sunday, 28 November 2021 at 07:51 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 : 1102
Unique Edges : 1319
Edges With Duplicates : 2198
Total Edges : 3517
Number of Edge Types : 5
Replies to : 455
Mentions : 1647
MentionsInRetweet : 971
Retweet : 431
Tweet : 13
Self-Loops : 16
Reciprocated Vertex Pair Ratio : 0.0111111111111111
Reciprocated Edge Ratio : 0.021978021978022
Connected Components : 11
Single-Vertex Connected Components : 7
Maximum Vertices in a Connected Component : 1088
Maximum Edges in a Connected Component : 3503
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.951734
Graph Density : 0.0016500426109905
Modularity : 0.405846
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,102 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, 29 November 2021 at 01:42 UTC.
The requested start date was Monday, 29 November 2021 at 01:01 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 12-day, 22-hour, 17-minute period from Monday, 15 November 2021 at 09:34 UTC to Sunday, 28 November 2021 at 07:51 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:
[117] covid,19 [104] nursing,homes [102] one,michigan's [102] michigan's,influential [102] influential,papers [102] papers,reporting [102] reporting,record [102] record,breaking [102] breaking,surge [102] surge,without Top Word Pairs in Tweet in G1:
[47] covid,19 [30] business,owners [22] covid,cases [21] small,business [21] worked,hard [20] owners,worked [20] hard,keep [20] keep,people [20] people,safe [20] safe,keep Top Word Pairs in Tweet in G2:
[100] one,michigan's [100] michigan's,influential [100] influential,papers [100] papers,reporting [100] reporting,record [100] record,breaking [100] breaking,surge [100] surge,without [100] without,mentioning [100] mentioning,treatments Top Word Pairs in Tweet in G3:
[80] chadlivengood,govwhitmer [27] graham_couch,chadlivengood [21] covid,surging [19] surging,michigan [18] michigan,again [18] again,2020 [18] 2020,govwhitmer [18] govwhitmer,column [17] chadlivengood,covid [14] czmyt,graham_couch Top Word Pairs in Tweet in G4:
[13] misenate,govwhitmer [13] thanks,migop [12] govwhitmer,potus [12] migop,taking [12] taking,away [12] away,govwhitmer's [12] govwhitmer's,eo [12] eo,powers [12] powers,trying [12] trying,take Top Word Pairs in Tweet in G5:
[6] govinslee,oregongovbrown [5] oregongovbrown,gavinnewsom [5] housedemocrats,senatedems [5] covid,over [5] cnn,nytimes [4] emergency,powers [4] covid,relief [4] everyone,put [4] put,masks [4] masks,back Top Word Pairs in Tweet in G6:
[3] alex49664103,boley_greg [3] boley_greg,pattifitz4 [3] pattifitz4,comploscope [3] comploscope,tess4life1 [3] tess4life1,atensnut [3] atensnut,silvermanmark70 [2] silvermanmark70,rtrepublicans [2] rtrepublicans,cdcdirector [2] cdcdirector,nihdirector [2] nihdirector,botz_dr Top Word Pairs in Tweet in G7:
[12] dystateofmind,repcohen [12] repcohen,rephankjohnson [12] rephankjohnson,repteddeutch [12] repteddeutch,repjeffries [12] repjeffries,davidcicilline [12] davidcicilline,tedlieu [12] tedlieu,repraskin [12] repraskin,repjayapal [9] repjayapal,repgregstanton [9] repgregstanton,repdean Top Word Pairs in Tweet in G8:
[99] nursing,homes [98] remember,killed [98] killed,those [98] those,grandparents [98] grandparents,forcing [98] forcing,nursing [98] homes,accept [98] accept,covid [98] covid,positive [98] positive,patients Top Word Pairs in Tweet in G9:
[5] covid,numbers [5] kimberl57583745,govwhitmer [4] numbers,michigan [4] michigan,record [4] record,highs [4] highs,gt [4] gt,people [4] people,see [4] see,stores [4] stores,unmasked Top Word Pairs in Tweet in G10:
[13] govwhitmer,ohiostate [7] govmikedewine,govwhitmer [7] govwhitmer,ohiostatefb [4] govwhitmer,umich [4] umich,ohiostate [4] ohiostatefb,schmidtscbus [4] schmidtscbus,graeters [4] graeters,malleyschoc [4] malleyschoc,marshasbuckeyes [3] ohiostatefb,umichfootball 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: