The graph represents a network of 466 Twitter users whose tweets in the requested range contained "(corona OR virus OR covid) ("Gov PA" OR GovernorTomWolf)", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 21 June 2021 at 01:09 UTC.
The requested start date was Monday, 21 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 12-day, 19-hour, 32-minute period from Monday, 07 June 2021 at 02:31 UTC to Saturday, 19 June 2021 at 22:04 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 : 466
Unique Edges : 534
Edges With Duplicates : 492
Total Edges : 1026
Number of Edge Types : 5
Replies to : 206
Mentions : 546
Tweet : 12
MentionsInRetweet : 190
Retweet : 72
Self-Loops : 13
Reciprocated Vertex Pair Ratio : 0.0214592274678112
Reciprocated Edge Ratio : 0.0420168067226891
Connected Components : 7
Single-Vertex Connected Components : 4
Maximum Vertices in a Connected Component : 453
Maximum Edges in a Connected Component : 1006
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.036384
Graph Density : 0.0032950297660252
Modularity : 0.509624
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 466 Twitter users whose tweets in the requested range contained "(corona OR virus OR covid) (%22Gov PA%22 OR GovernorTomWolf)", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 21 June 2021 at 01:09 UTC.
The requested start date was Monday, 21 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 12-day, 19-hour, 32-minute period from Monday, 07 June 2021 at 02:31 UTC to Saturday, 19 June 2021 at 22:04 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 PA%22 OR GovernorTomWolf)
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:
[65] covid,19 [19] nursing,homes [17] disaster,declaration [16] nursing,home [14] governorsoffice,governortomwolf [14] governortomwolf,pahealthsec [14] reports,pa [13] governortomwolf's,covid [12] governortomwolf,#covid19 [11] covid,patients Top Word Pairs in Tweet in G1:
[20] covid,19 [14] reports,pa [12] governortomwolf,#covid19 [8] nursing,homes [8] emergency,declaration [8] penncapitalstar,#papolitics [8] stephenj_caruso,reports [8] pa,house [8] house,votes [8] votes,permanently Top Word Pairs in Tweet in G2:
[3] pumatpg,fwe1991 [3] fwe1991,clmuseum [3] clmuseum,antifarioter [3] antifarioter,sirnes76 [3] sirnes76,notafurby [3] notafurby,crisco_mr [3] crisco_mr,cdcdirector [3] cdcdirector,shannonissilly [3] shannonissilly,tombake91415833 [3] tombake91415833,alexberenson Top Word Pairs in Tweet in G3:
[4] ttmsksg,purplet87093004 [4] purplet87093004,heroking1990 [4] heroking1990,bearbear281 [4] bearbear281,saintilub [4] saintilub,albertc85919700 [4] albertc85919700,meister_raro [4] meister_raro,ledzepfan400 [4] ledzepfan400,missycooper13 [3] xedx8,ttmsksg [3] missycooper13,jas Top Word Pairs in Tweet in G4:
[25] covid,19 [14] governortomwolf,pahealthsec [11] governorsoffice,governortomwolf [10] today,governortomwolf [9] governorsoffice,today [8] pahealthsec,today [8] today,released [8] released,status [8] status,update [8] update,covid Top Word Pairs in Tweet in G5:
[8] covid,19 [4] jeffnewberry,governortomwolf [4] governortomwolf,safe [4] safe,effective [4] effective,cdc [4] cdc,plans [4] plans,emergency [4] emergency,meeting [4] meeting,rare [4] rare,heart Top Word Pairs in Tweet in G6:
[8] nursing,home [6] brookier66,governortomwolf [5] governortomwolf,secretarylevine [5] jay77125528,brookier66 [4] nursing,homes [4] evidence,single [4] single,pennsylvania [4] pennsylvania,nursing [4] home,resident [4] resident,died Top Word Pairs in Tweet in G7:
[10] pastatedept,spokesperson [10] spokesperson,tells [10] tells,cbs21news [10] cbs21news,certification [10] certification,18 [10] 18,elections [10] elections,completed [9] producertjeski,pastatedept [2] covid,19 [2] 19,disaster Top Word Pairs in Tweet in G8:
[3] govrondesantis,governortomwolf [3] governortomwolf,govkemp [3] govkemp,govbilllee [3] govbilllee,govabbott [2] govabbott,please [2] please,request [2] request,#salesforce [2] #salesforce,removes [2] removes,virus [2] crm,vht Top Word Pairs in Tweet in G9:
[11] pahousegop,moving [11] moving,extend [11] extend,approximately [11] approximately,98 [11] 98,governortomwolf's [11] governortomwolf's,covid [11] covid,disaster [11] disaster,declaration [11] declaration,pretend [11] pretend,end 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 G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G6:
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Top Mentioned in G9:
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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:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: