The graph represents a network of 2,365 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, 28 December 2020 at 01:17 UTC.
The requested start date was Monday, 28 December 2020 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 13-day, 13-hour, 3-minute period from Monday, 14 December 2020 at 01:02 UTC to Sunday, 27 December 2020 at 14:05 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 : 2365
Unique Edges : 2710
Edges With Duplicates : 4702
Total Edges : 7412
Number of Edge Types : 5
Retweet : 1066
MentionsInRetweet : 1737
Mentions : 2928
Replies to : 1583
Tweet : 98
Self-Loops : 108
Reciprocated Vertex Pair Ratio : 0.0291380999020568
Reciprocated Edge Ratio : 0.0566262193671187
Connected Components : 24
Single-Vertex Connected Components : 17
Maximum Vertices in a Connected Component : 2336
Maximum Edges in a Connected Component : 7341
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.610997
Graph Density : 0.000751762698404181
Modularity : 0.365954
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 2,365 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, 28 December 2020 at 01:17 UTC.
The requested start date was Monday, 28 December 2020 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 13-day, 13-hour, 3-minute period from Monday, 14 December 2020 at 01:02 UTC to Sunday, 27 December 2020 at 14:05 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:
[410] covid,19 [127] governortomwolf,truth [127] backed,science [126] truth,masks [125] masks,simple [125] simple,backed [125] science,work [125] work,masks [125] masks,one [125] one,easiest Top Word Pairs in Tweet in G1:
[176] covid,19 [117] truth,masks [117] backed,science [116] masks,simple [116] simple,backed [116] science,work [116] work,masks [116] masks,one [116] one,easiest [116] easiest,effective Top Word Pairs in Tweet in G2:
[48] julikelldance,governortomwolf [43] covid,19 [42] covid,deaths [40] pahealthdept,governortomwolf [40] reopenpa,julikelldance [33] princesstef78,governortomwolf [31] governortomwolf,pahealthdept [31] sonyalmohr,governortomwolf [22] thadoctrizin,princesstef78 [21] died,covid Top Word Pairs in Tweet in G3:
[90] covid,19 [78] governortomwolf,secretarylevine [62] governorsoffice,governortomwolf [47] govmurphy,protectourcare [34] governortomwolf,govmurphy [31] secretarylevine,today [28] today,released [28] released,status [28] status,update [28] update,covid Top Word Pairs in Tweet in G4:
[42] covid,19 [17] re,phillyinquirer [17] phillyinquirer,editorial [17] editorial,board [17] board,governortomwolf [17] governortomwolf,established [17] established,narrow [17] narrow,parameters [16] amistadlaw,re [16] parameters,temporar Top Word Pairs in Tweet in G5:
[8] nursing,homes [5] governortomwolf,gavinnewsom [5] govwhitmer,andrewcuomo [5] covid,patients [4] gavinnewsom,govwhitmer [4] govwhitmer,governortomwolf [4] mullane,newtown [4] newtown,athletic [4] athletic,club [4] club,owner Top Word Pairs in Tweet in G6:
[6] business,due [6] due,covid [5] governortomwolf,sentoomey [5] need,help [4] covid,19 [4] lost,food [4] food,catering [4] catering,business [3] 10yr,daughter [3] nasd,covid Top Word Pairs in Tweet in G7:
[19] governortomwolf,johnfetterman [10] let's,pennsylvania [10] pennsylvania,students [10] students,teachers [10] teachers,families [10] families,governortomwolf [10] johnfetterman,pdesecretary [9] greggbehr,let's [9] pdesecretary,padep [7] covid,19 Top Word Pairs in Tweet in G8:
[5] he48300141,janryan1949 [5] janryan1949,jimbo_always [5] jimbo_always,asilanaqanon [5] asilanaqanon,johntpotts1 [5] johntpotts1,judybalda [5] judybalda,tazatator [5] tazatator,vetnav [5] vetnav,realbeachy [4] lindaprentice16,he48300141 [4] realbeachy,pow1_davi Top Word Pairs in Tweet in G9:
[7] nursing,home [5] keystonesp,governortomwolf [4] mrsubohm1,governortomwolf [4] covid,19 [4] chuckthemuckra1,governortomwolf [4] virus,communists [4] covid,patients [3] johnny68l,governortomwolf [3] communist,virus [3] virus,survival Top Word Pairs in Tweet in G10:
[11] kdka,governortomwolf [7] lindsaywardtv,kdka [4] governortomwolf,healthallegheny [4] allegheny,county [4] pittsburghpg,governortomwolf [3] county,3m [3] 3m,pop [3] pop,covid [3] covid,deaths [3] deaths,age Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G8:
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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 G7:
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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:
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Top Tweeters in G5:
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Top Tweeters in G10: