The graph represents a network of 430 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, 04 April 2022 at 00:41 UTC.
The requested start date was Monday, 04 April 2022 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, 3-hour, 1-minute period from Monday, 21 March 2022 at 01:24 UTC to Sunday, 03 April 2022 at 04:26 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 : 430
Unique Edges : 644
Edges With Duplicates : 576
Total Edges : 1220
Number of Edge Types : 5
Mentions : 292
Replies to : 121
Retweet : 203
MentionsInRetweet : 603
Tweet : 1
Self-Loops : 2
Reciprocated Vertex Pair Ratio : 0.0133928571428571
Reciprocated Edge Ratio : 0.026431718061674
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 430
Maximum Edges in a Connected Component : 1220
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.679481
Graph Density : 0.00492220957337236
Modularity : 0.446639
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 430 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, 04 April 2022 at 00:41 UTC.
The requested start date was Monday, 04 April 2022 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, 3-hour, 1-minute period from Monday, 21 March 2022 at 01:24 UTC to Sunday, 03 April 2022 at 04:26 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:
[89] homes,covid [88] hi,govmurphy [88] govmurphy,covering [88] covering,senior [88] senior,death [88] death,toll [88] toll,buddies [88] buddies,andrewcuomo [88] andrewcuomo,govwhitmer [88] govwhitmer,nj Top Word Pairs in Tweet in G1:
[36] michigan's,govwhitmer [36] govwhitmer,failing [36] failing,infrastructure [36] infrastructure,falling [36] falling,apart [36] apart,ford [36] ford,leaving [36] leaving,begin [36] begin,covid [35] tuckertoday,michigan's Top Word Pairs in Tweet in G2:
[87] hi,govmurphy [87] govmurphy,covering [87] covering,senior [87] senior,death [87] death,toll [87] toll,buddies [87] buddies,andrewcuomo [87] andrewcuomo,govwhitmer [87] govwhitmer,nj [87] nj,vet Top Word Pairs in Tweet in G3:
[36] tori_sachs,govwhitmer [36] govwhitmer,locked [36] locked,kids [36] kids,classrooms [36] classrooms,destroyed [36] destroyed,jobs [36] jobs,tore [36] tore,apart [36] apart,communities [36] communities,imported Top Word Pairs in Tweet in G4:
[2] dystateofmind,repcohen [2] repcohen,rephankjohnson [2] rephankjohnson,repteddeutch [2] repteddeutch,repjeffries [2] repjeffries,davidcicilline [2] davidcicilline,tedlieu [2] tedlieu,repraskin [2] repraskin,repjayapal Top Word Pairs in Tweet in G5:
[3] trial,misupremecourt [3] misupremecourt,2020 [3] 2020,decision [3] decision,knocked [3] knocked,down [3] down,govwhitmer's [3] govwhitmer's,covid [3] covid,orders [3] orders,seemed [3] seemed,fire Top Word Pairs in Tweet in G6:
[2] story,lost [2] lost,between [2] between,nih [2] nih,media [2] media,fox2news [2] fox2news,fox2deena [2] fox2deena,jaytowers [2] jaytowers,local4news [2] local4news,wxyzalicia Top Word Pairs in Tweet in G7:
[3] govwhitmer,miattygen [2] tuebor1776,govwhitmer [2] covid,funding [2] misenate,govwhitmer Top Word Pairs in Tweet in G9:
[6] ligma32,govwhitmer [5] nursing,homes [4] covid,patients [3] shut,down [3] professorsam,govwhitmer [3] smartvermin,ligma32 [3] jillcol57100267,ligma32 [3] patients,nursing [2] latest,rush [2] smartvermin,professorsam Top Word Pairs in Tweet in G10:
[5] govwhitmer,ltgovgilchrist [3] nancy3asi,govwhitmer [2] robertgard13,nancy3asi Top Replied-To in Entire Graph:
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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:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: