The graph represents a network of 5,081 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, 18 May 2020 at 00:57 UTC.
The requested start date was Monday, 18 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 4-day, 14-hour, 7-minute period from Tuesday, 12 May 2020 at 16:06 UTC to Sunday, 17 May 2020 at 06:14 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 : 5081
Unique Edges : 8394
Edges With Duplicates : 9377
Total Edges : 17771
Number of Edge Types : 5
Retweet : 3020
MentionsInRetweet : 7559
Mentions : 5474
Replies to : 1697
Tweet : 21
Self-Loops : 50
Reciprocated Vertex Pair Ratio : 0.0116137415739462
Reciprocated Edge Ratio : 0.0229608220937701
Connected Components : 10
Single-Vertex Connected Components : 7
Maximum Vertices in a Connected Component : 5070
Maximum Edges in a Connected Component : 17755
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.634145
Graph Density : 0.000482575970072231
Modularity : 0.467166
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 5,081 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, 18 May 2020 at 00:57 UTC.
The requested start date was Monday, 18 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 4-day, 14-hour, 7-minute period from Tuesday, 12 May 2020 at 16:06 UTC to Sunday, 17 May 2020 at 06:14 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:
[986] covid,19 [507] shannonrwatts,govwhitmer [502] michigan,trump [502] trump,administration [501] govwhitmer,begged [501] begged,republicans [501] republicans,michigan [501] administration,speak [501] speak,before [501] before,14 Top Word Pairs in Tweet in G1:
[502] shannonrwatts,govwhitmer [497] trump,administration [496] govwhitmer,begged [496] begged,republicans [496] republicans,michigan [496] michigan,trump [496] administration,speak [496] speak,before [496] before,14 [496] 14,armed Top Word Pairs in Tweet in G2:
[297] covid,19 [158] nursing,homes [144] michstatepolice,govwhitmer [131] michigan,business [130] big,cat [130] cat,brewing [130] brewing,co [130] co,leland [130] leland,latest [130] latest,family Top Word Pairs in Tweet in G3:
[81] nygovcuomo,gavinnewsom [77] govwhitmer,governortomwolf [75] chinese,virus [74] governortomwolf,nygovcuomo [73] virus,govwhitmer [71] worst,tyrant [71] tyrant,governor [71] governor,handling [71] handling,chinese [70] deplorabletd1,worst Top Word Pairs in Tweet in G4:
[166] govwhitmer,massgovernor [78] realdonaldtrump,govwhitmer [54] dynastydriven,realdonaldtrump [48] cbs_herridge,cbsnews [48] cbsnews,richardgrenell [48] richardgrenell,govwhitmer [46] dynastydriven,cbs_herridge [29] breaking911,govwhitmer [18] massgovernor,being [18] being,massachusetts Top Word Pairs in Tweet in G5:
[52] govwhitmer,freep [45] garydailydrift,kathysoltani [45] kathysoltani,govwhitmer [45] freep,stevegrubershow [45] stevegrubershow,detroitnews [45] detroitnews,fox2news [45] fox2news,local4news [45] local4news,wxyzdetroit [44] dagmargee,garydailydrift [28] covid,19 Top Word Pairs in Tweet in G6:
[117] 77,year [117] year,old [116] old,#michigan [116] #michigan,barbershop [116] barbershop,owner [116] owner,license [116] license,suspended [116] suspended,according [116] according,legal [116] legal,documents Top Word Pairs in Tweet in G7:
[68] virtual,roundtable [47] covid,19 [38] govwhitmer,govnedlamont [37] look,joebiden's [37] joebiden's,virtual [37] roundtable,impact [37] impact,covid [37] 19,govwhitmer [37] govnedlamont,govmurphy [36] mollynagle3,look Top Word Pairs in Tweet in G8:
[12] stay,home [10] govwhitmer,dananessel [9] united,states [8] dananessel,both [8] both,domestic [8] domestic,enemies [8] enemies,michigan [8] michigan,united [8] states,verbally [8] verbally,bashing Top Word Pairs in Tweet in G9:
[36] covid,19 [23] incarcerated,people [22] #letmipeoplego,govwhitmer [22] michigan,ranks [22] ranks,highest [22] highest,nation [22] nation,incarcerated [22] people,deaths [22] deaths,coronavirus [22] coronavirus,prisons Top Word Pairs in Tweet in G10:
[54] see,become [54] become,partisan [54] partisan,really [54] really,disheartening [54] disheartening,enemy [54] enemy,one [54] one,another [54] another,enemy [54] enemy,virus [54] virus,hear Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: