The graph represents a network of 844 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, 02 August 2021 at 00:43 UTC.
The requested start date was Monday, 02 August 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 12-day, 6-hour, 27-minute period from Monday, 19 July 2021 at 00:17 UTC to Saturday, 31 July 2021 at 06:44 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 : 844
Unique Edges : 1230
Edges With Duplicates : 1183
Total Edges : 2413
Number of Edge Types : 5
Mentions : 530
Replies to : 183
MentionsInRetweet : 1240
Retweet : 456
Tweet : 4
Self-Loops : 9
Reciprocated Vertex Pair Ratio : 0.00737797956867196
Reciprocated Edge Ratio : 0.0146478873239437
Connected Components : 4
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 831
Maximum Edges in a Connected Component : 2393
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.602229
Graph Density : 0.00249475749551646
Modularity : 0.433971
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 844 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, 02 August 2021 at 00:43 UTC.
The requested start date was Monday, 02 August 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 12-day, 6-hour, 27-minute period from Monday, 19 July 2021 at 00:17 UTC to Saturday, 31 July 2021 at 06:44 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:
[234] kjmpalermo,politvidchannel [233] politvidchannel,good [233] good,govwhitmer [233] govwhitmer,removed [233] removed,positions [233] positions,criminal [233] criminal,federal [232] federal,co [63] covid,19 [39] nursing,home Top Word Pairs in Tweet in G1:
[233] politvidchannel,good [233] good,govwhitmer [233] govwhitmer,removed [233] removed,positions [233] positions,criminal [233] criminal,federal [232] kjmpalermo,politvidchannel [232] federal,co Top Word Pairs in Tweet in G2:
[40] covid,19 [31] nursing,home [29] james,craig [29] craig,running [29] running,michigan [29] michigan,governor [29] governor,govwhitmer [29] govwhitmer,office [29] office,violated [29] violated,covid Top Word Pairs in Tweet in G3:
[30] thanks,mi_republicans [30] mi_republicans,misenate [30] misenate,michigan [30] michigan,one [30] one,step [30] step,closer [30] closer,being [30] being,free [30] free,govwhitmer's [30] govwhitmer's,draconian Top Word Pairs in Tweet in G4:
[15] nygovcuomo,govwhitmer [14] thejusticedept,declined [14] declined,investigate [14] investigate,covid [14] covid,related [14] related,deaths [14] deaths,york [14] york,michigan [14] michigan,nygovcuomo [8] minnesotaminers,thejusticedept Top Word Pairs in Tweet in G5:
[11] remember,visit [11] visit,parents [11] parents,grandparents [11] grandparents,give [11] give,covid [11] covid,actual [11] actual,covid [11] covid,patients [10] njveghead,remember [10] patients,coul Top Word Pairs in Tweet in G6:
[2] corsiaq,don [2] don,believe [2] believe,use [2] use,money [2] money,increase [2] increase,safety [2] safety,covid [2] covid,see [2] see,free [2] free,team Top Word Pairs in Tweet in G7:
[9] tell,without [9] without,telling [9] telling,tanked [9] tanked,states [9] states,economy [9] economy,billions [9] billions,covid [9] covid,relief [9] nursing,homes [8] awakenotwoke17,tell Top Word Pairs in Tweet in G8:
[5] hospital,provided [5] provided,rationale [5] rationale,today [5] today,covid [5] covid,patient [5] patient,numbers [5] numbers,community [5] community,low [5] low,don [5] don,support Top Word Pairs in Tweet in G9:
[12] secblinken,spoke [12] spoke,govwhitmer [12] govwhitmer,detained [12] detained,american [12] american,journalist [12] journalist,danny [12] danny,fenster [12] fenster,statedeptspox [12] statedeptspox,fenster [12] fenster,native Top Word Pairs in Tweet in G10:
[10] awesome,gretchen [10] gretchen,awesome [10] awesome,gretchenwhitmer [10] gretchenwhitmer,govwhitmer [10] govwhitmer,michigan [10] michigan,republicans [10] republicans,gave [10] gave,themselves [10] themselves,bonuses [9] darbyscastle,awesome Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
Top Replied-To in G6:
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Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: