The graph represents a network of 371 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, 24 January 2022 at 02:09 UTC.
The requested start date was Monday, 24 January 2022 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 11-day, 5-hour, 32-minute period from Monday, 10 January 2022 at 07:06 UTC to Friday, 21 January 2022 at 12:38 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 : 371
Unique Edges : 389
Edges With Duplicates : 632
Total Edges : 1021
Number of Edge Types : 5
Mentions : 568
Replies to : 177
Retweet : 91
MentionsInRetweet : 177
Tweet : 8
Self-Loops : 11
Reciprocated Vertex Pair Ratio : 0.022887323943662
Reciprocated Edge Ratio : 0.044750430292599
Connected Components : 5
Single-Vertex Connected Components : 3
Maximum Vertices in a Connected Component : 366
Maximum Edges in a Connected Component : 1017
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.772183
Graph Density : 0.00423253442121367
Modularity : 0.35854
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 371 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, 24 January 2022 at 02:09 UTC.
The requested start date was Monday, 24 January 2022 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 11-day, 5-hour, 32-minute period from Monday, 10 January 2022 at 07:06 UTC to Friday, 21 January 2022 at 12:38 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:
[35] governortomwolf,weismarkets [32] covid,19 [29] covid,cases [27] weismarkets,camp [27] camp,hill [27] pennsylvanians,covid [26] hill,talk [26] talk,re [26] re,doing [26] doing,protect Top Word Pairs in Tweet in G1:
[16] mornin,governortomwolf [16] governortomwolf,remember [16] remember,marched [16] marched,huge [16] huge,crowds [16] crowds,blm [16] blm,protesters [16] protesters,ordering [16] ordering,small [16] small,businesses Top Word Pairs in Tweet in G2:
[10] masks,mitigation [8] covid,ravages [8] seccardona,secbecerra [7] cnn,msnbc [7] msnbc,foxnews [7] foxnews,abc [6] schools,open [6] potus,vp [6] abc,cbsnews [5] pa,schools Top Word Pairs in Tweet in G3:
[27] governortomwolf,weismarkets [26] weismarkets,camp [26] camp,hill [25] hill,talk [25] talk,re [25] re,doing [25] doing,protect [25] protect,pennsylvanians [25] pennsylvanians,covid [25] covid,cases Top Word Pairs in Tweet in G4:
[8] governortomwolf,weismarkets [8] weismarkets,cdcgov [4] governortomwolf,cdcgov [3] nursing,home [2] repthomasmassie,cdcgov [2] cdcgov,sentoomey [2] sentoomey,repmeuser [2] repmeuser,senbobcasey [2] senbobcasey,governortomwolf [2] ingredients,covid Top Word Pairs in Tweet in G5:
[11] governortomwolf,potus [6] kobefn,governortomwolf [4] jillryannikita,kobefn [2] beaver,county [2] mysticallibra13,kobefn [2] vaccinated,people [2] jlmuldoon,governortomwolf [2] masks,schools Top Word Pairs in Tweet in G6:
[6] earlier,today [6] today,followed [6] followed,friday [6] friday,call [6] call,strengthening [6] strengthening,covid [6] covid,mitigation [6] mitigation,strategies [6] strategies,letter [6] letter,governortomwolf Top Word Pairs in Tweet in G7:
[6] governortomwolf,govmurphy [3] veritas,docs [3] docs,reveal [3] reveal,dc [3] dc,bureaucrats [3] bureaucrats,evidence [3] evidence,ivermectin [3] ivermectin,hydroxychloroquine [3] hydroxychloroquine,effective [3] effective,treating Top Word Pairs in Tweet in G8:
[9] slik_karl,governortomwolf [4] grandbelieber13,governortomwolf [4] ericgore19,slik_karl [3] drcossacktwitch,randomwalk1682 [3] randomwalk1682,ericgore19 [2] vaccines,work [2] covid,vaccinated [2] shut,vaccine [2] vaccinated,unvaccinated [2] kids,hospitalized Top Word Pairs in Tweet in G9:
[2] personal,choice Top Word Pairs in Tweet in G10:
[7] applications,open [7] open,student [7] student,loan [7] loan,relief [7] relief,nurses [7] nurses,slrn [7] slrn,program [7] program,qualified [7] qualified,nurses [7] nurses,working 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 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: