The graph represents a network of 11,177 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 19 September 2020 at 07:29 UTC.
The requested start date was Saturday, 19 September 2020 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 2-day, 0-hour, 1-minute period from Wednesday, 16 September 2020 at 03:18 UTC to Friday, 18 September 2020 at 03:19 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 : 11177
Unique Edges : 5800
Edges With Duplicates : 12431
Total Edges : 18231
Number of Edge Types : 5
Replies to : 883
Retweet : 5837
MentionsInRetweet : 6709
Mentions : 1911
Tweet : 2891
Self-Loops : 2924
Reciprocated Vertex Pair Ratio : 0.00247844827586207
Reciprocated Edge Ratio : 0.00494464151349027
Connected Components : 2964
Single-Vertex Connected Components : 747
Maximum Vertices in a Connected Component : 2880
Maximum Edges in a Connected Component : 5961
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 8.951933
Graph Density : 7.44751483402777E-05
Modularity : 0.569158
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 11,177 Twitter users whose tweets in the requested range contained "COVID", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 19 September 2020 at 07:29 UTC.
The requested start date was Saturday, 19 September 2020 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 2-day, 0-hour, 1-minute period from Wednesday, 16 September 2020 at 03:18 UTC to Friday, 18 September 2020 at 03:19 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 : COVID
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:
[3218] covid,19 [237] covid,deaths [196] positive,covid [195] tested,positive [164] white,house [151] herd,immunity [129] due,covid [128] health,department [123] donald,trump [114] olivia,troye Top Word Pairs in Tweet in G1:
[282] covid,19 [12] during,covid [12] died,covid [11] #coronavirus,#covid19 [10] 19,cases [10] muertes,covid [9] due,covid [9] protokol,kesehatan [8] casos,covid [8] positive,covid Top Word Pairs in Tweet in G2:
[154] covid,19 [53] donald,trump [39] during,covid [35] 100,richest [35] richest,americans [35] americans,made [35] made,more [35] more,300 [35] 300,billion [35] billion,during Top Word Pairs in Tweet in G3:
[64] covid,19 [16] listened,latest [16] latest,woodward [16] woodward,clip [16] clip,lawrence [16] lawrence,played [16] played,maryltrump [16] maryltrump,stunning [16] stunning,hear [16] hear,trump Top Word Pairs in Tweet in G4:
[35] covid,19 [22] tested,covid [17] yesterday,feeling [17] feeling,weak [17] weak,consulted [17] consulted,doctor [17] doctor,during [17] during,course [17] course,check [17] check,tested Top Word Pairs in Tweet in G5:
[90] covid,19 [35] bars,restaurants [34] repandybiggsaz,arizona [29] nashville,bars [28] mayor's,office [27] 19,emails [27] nashville,mayor's [26] live,foxnashville [26] foxnashville,9pm [26] 9pm,covid Top Word Pairs in Tweet in G6:
[54] covid,19 [27] biden,doing [27] doing,very [27] very,very [27] very,well [27] well,far [27] far,cnn [27] cnn,townhall [27] townhall,strongest [27] strongest,retail Top Word Pairs in Tweet in G7:
[70] covid,deaths [68] kylegriffin1,president [65] president,talking [65] talking,american [65] american,covid [65] deaths,start [65] start,sentence [65] sentence,take [21] hard,much [21] much,faith Top Word Pairs in Tweet in G8:
[95] herd,immunity [84] approximately,328 [84] 328,million [84] million,people [84] people,low [84] low,end [84] end,herd [84] immunity,60 [83] kyle_feldscher,approximately [83] 60,popul Top Word Pairs in Tweet in G9:
[101] girlfriend,tested [101] tested,positive [101] positive,covid [101] covid,university [101] university,cincinnati's [101] cincinnati's,health [101] health,department [101] department,instructed [101] instructed,attend [100] _sotzingg_,girlfriend Top Word Pairs in Tweet in G10:
[25] dr,li [25] li,meng [25] meng,yan [21] covid,19 [19] chinese,virologist [16] virologist,dr [14] chinese,communist [13] bars,restaurants [13] yan,suspended [13] suspended,twitter Top Replied-To in Entire Graph:
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:
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: