The graph represents a network of 470 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, 11 October 2021 at 01:10 UTC.
The requested start date was Monday, 11 October 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, 21-hour, 40-minute period from Monday, 27 September 2021 at 02:43 UTC to Sunday, 10 October 2021 at 00:23 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 : 470
Unique Edges : 422
Edges With Duplicates : 892
Total Edges : 1314
Number of Edge Types : 5
Retweet : 151
MentionsInRetweet : 236
Replies to : 294
Mentions : 610
Tweet : 23
Self-Loops : 25
Reciprocated Vertex Pair Ratio : 0.0318181818181818
Reciprocated Edge Ratio : 0.0616740088105727
Connected Components : 10
Single-Vertex Connected Components : 4
Maximum Vertices in a Connected Component : 453
Maximum Edges in a Connected Component : 1289
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.80068
Graph Density : 0.00308941614117861
Modularity : 0.360136
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 470 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, 11 October 2021 at 01:10 UTC.
The requested start date was Monday, 11 October 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, 21-hour, 40-minute period from Monday, 27 September 2021 at 02:43 UTC to Sunday, 10 October 2021 at 00:23 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:
[66] covid,19 [47] 19,vaccine [42] vaccine,clinic [40] nursing,home [37] governortomwolf,signed [37] signed,bills [37] bills,law [37] law,hb [37] hb,184 [37] law,enhances Top Word Pairs in Tweet in G1:
[53] covid,19 [42] 19,vaccine [40] vaccine,clinic [36] signed,bills [36] bills,law [36] law,hb [36] hb,184 [36] law,enhances [36] enhances,sentencing [36] sentencing,causing Top Word Pairs in Tweet in G2:
[33] nursing,home [20] governortomwolf,pahealthdept [15] pahealthdept,governortomwolf [12] reopenpa,uncommonsensepa [12] home,trade [12] trade,associations [12] associations,pennsylvania [12] pennsylvania,aware [12] aware,nursing [12] home,forced Top Word Pairs in Tweet in G3:
[14] #emptychair,represents [14] represents,father [14] father,pa [14] pa,#veteran [14] #veteran,700 [14] 700,000 [14] 000,died [14] died,#covid19 [14] #covid19,#longcovid [13] ethernetsales,#emptychair Top Word Pairs in Tweet in G4:
[10] survival,rate [10] rate,99 [9] covid,vaccine [8] overcharge16,governortomwolf [6] governortomwolf,cdcgov [5] governortomwolf,sep [5] sep,28 [5] 28,cdcgov [5] cdcgov,data [5] data,shows Top Word Pairs in Tweet in G5:
[3] imagine,virus [3] virus,deadly [3] covid,vaccine [2] governortomwolf,imagine [2] deadly,kids [2] kids,wear [2] wear,masks [2] masks,schools [2] schools,punish [2] punish,until Top Word Pairs in Tweet in G6:
[6] forrest154,governortomwolf [4] lazeskishawn,stellaaphilly [4] stellaaphilly,governortomwolf [3] cindiph94423981,lazeskishawn [3] galkowski333,forrest154 [2] leo53330349,footballguy971 [2] footballguy971,forrest154 [2] governortomwolf,good [2] good,pull [2] pull,child Top Word Pairs in Tweet in G7:
[6] nursing,home [2] home,trade [2] aware,nursing [2] home,forced [2] forced,accept [2] accept,covid [2] covid,positive [2] positive,patient [2] patient,against [2] against,order Top Word Pairs in Tweet in G8:
[9] souderton,mask [9] mask,exemption [9] exemption,policy [9] policy,allows [9] allows,parents [9] parents,make [9] make,reasons [9] reasons,mask [9] mask,results [9] results,10 Top Word Pairs in Tweet in G9:
[14] #covid19,mtosterholm [14] mtosterholm,covidwatch [14] covidwatch,scottgottliebmd [14] scottgottliebmd,covid_canada [14] covid_canada,governortomwolf [13] governortomwolf,govkathyhochul [13] govkathyhochul,pennsylvania [12] pennsylvania,covid [5] dumovicdude,#covid19 [4] covid,getti Top Word Pairs in Tweet in G10:
[2] helloitsme7827,governortomwolf [2] pregnancy,both Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G5:
Top Replied-To in G6:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
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Top Mentioned in G6:
Top Mentioned in G7:
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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 G3:
Top Tweeters in G4:
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Top Tweeters in G9:
Top Tweeters in G10: