The graph represents a network of 1,477 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, 18 January 2021 at 01:16 UTC.
The requested start date was Monday, 18 January 2021 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, 12-hour, 27-minute period from Monday, 04 January 2021 at 01:12 UTC to Sunday, 17 January 2021 at 13:40 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 : 1477
Unique Edges : 1579
Edges With Duplicates : 3420
Total Edges : 4999
Number of Edge Types : 5
Mentions : 1900
Replies to : 952
MentionsInRetweet : 1313
Retweet : 771
Tweet : 63
Self-Loops : 80
Reciprocated Vertex Pair Ratio : 0.0271240526525728
Reciprocated Edge Ratio : 0.0528155339805825
Connected Components : 19
Single-Vertex Connected Components : 16
Maximum Vertices in a Connected Component : 1455
Maximum Edges in a Connected Component : 4974
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.543132
Graph Density : 0.00118116448598474
Modularity : 0.319123
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 1,477 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, 18 January 2021 at 01:16 UTC.
The requested start date was Monday, 18 January 2021 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, 12-hour, 27-minute period from Monday, 04 January 2021 at 01:12 UTC to Sunday, 17 January 2021 at 13:40 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:
[351] covid,19 [248] roll,covid [184] covid,vaccine [155] covid,vaccines [139] vaccines,pennsylvania [139] pennsylvania,keep [139] keep,everyone [139] everyone,informed [139] informed,possible [139] possible,process Top Word Pairs in Tweet in G1:
[202] roll,covid [122] covid,vaccines [114] vaccines,pennsylvania [114] pennsylvania,keep [114] keep,everyone [114] everyone,informed [114] informed,possible [114] possible,process [114] process,view [113] governortomwolf,roll Top Word Pairs in Tweet in G2:
[166] covid,19 [102] governortomwolf,pahealthdept [82] update,covid [78] governorsoffice,governortomwolf [73] today,pahealthdept [66] governortomwolf,secretarylevine [64] governorsoffice,today [52] governortomwolf,sometimes [52] sometimes,hard [52] hard,tell Top Word Pairs in Tweet in G3:
[38] foogatwo,governortomwolf [35] covid,19 [25] therealnjben,foogatwo [23] governortomwolf,covid [23] landau_18901,governortomwolf [20] levi_bandito,therealnjben [20] angryelmotiktok,governortomwolf [18] covid,vaccine [18] _kel_varnsen_,angryelmotiktok [18] commons69917449,governortomwolf Top Word Pairs in Tweet in G4:
[14] covid,deaths [12] wpxi,wtae [12] allegheny,county [12] county,3m [12] 3m,pop [12] pop,covid [12] deaths,age [12] age,10 [12] 10,19 [12] 19,20 Top Word Pairs in Tweet in G5:
[12] #russelmaroonshoatz,former [12] former,black [12] black,panther [12] panther,serving [12] serving,life [12] life,parole [12] parole,1970 [12] 1970,russel [12] russel,77 [12] 77,stage Top Word Pairs in Tweet in G6:
[24] covid,cases [24] cases,spiking [24] spiking,state [24] state,prisons [21] prisons,people [21] people,don [21] don,choice [21] choice,socially [21] 85,people [21] people,died Top Word Pairs in Tweet in G7:
[6] governortomwolf,fettermanlt [3] fettermanlt,governortomwolf [2] 64,million [2] more,covid [2] governortomwolf,secretarylevine [2] open,states [2] governortomwolf,pa [2] pa,far [2] far,behind [2] behind,ny Top Word Pairs in Tweet in G8:
[10] kushibo,govjackdawkins [10] govjackdawkins,laurenboebert [9] laurenboebert,governortomwolf [7] nursing,homes [6] nursing,home [6] covid,patients [6] golinojames,kushibo [5] home,residents [4] helpless,nursing [4] forced,covid Top Word Pairs in Tweet in G9:
[9] governorsoffice,governortomwolf [6] governortomwolf,secretarylevine [5] governortomwolf,panationalguard [2] schools,open [2] full,person [2] herdmancoleen,governortomwolf [2] immune,compromised [2] flu,vaccine [2] long,term [2] blood,clots Top Word Pairs in Tweet in G10:
[2] laws,courts [2] make,laws 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 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 G8:
Top Tweeters in G9:
Top Tweeters in G10: