The graph represents a network of 10,552 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 Wednesday, 28 October 2020 at 07:44 UTC.
The requested start date was Wednesday, 28 October 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 Sunday, 25 October 2020 at 03:20 UTC to Tuesday, 27 October 2020 at 03:21 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 : 10552
Unique Edges : 5635
Edges With Duplicates : 11704
Total Edges : 17339
Number of Edge Types : 5
Retweet : 5421
MentionsInRetweet : 6274
Tweet : 2807
Replies to : 1083
Mentions : 1754
Self-Loops : 2822
Reciprocated Vertex Pair Ratio : 0.00328984685195689
Reciprocated Edge Ratio : 0.00655811849841701
Connected Components : 2807
Single-Vertex Connected Components : 906
Maximum Vertices in a Connected Component : 3093
Maximum Edges in a Connected Component : 6443
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 7.589546
Graph Density : 7.94365416283047E-05
Modularity : 0.565242
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 10,552 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 Wednesday, 28 October 2020 at 07:44 UTC.
The requested start date was Wednesday, 28 October 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 Sunday, 25 October 2020 at 03:20 UTC to Tuesday, 27 October 2020 at 03:21 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:
[3353] covid,19 [426] died,covid [312] two,weeks [265] covid,relief [255] needs,help [252] next,two [252] 19,cases [250] covid,today [249] over,next [248] 225,000 Top Word Pairs in Tweet in G1:
[378] covid,19 [37] penyebaran,covid [18] libur,panjang [17] protokol,kesehatan [16] 19,cases [14] covid,relief [14] 10,2020 [13] during,covid [13] kegiatan,pencegahan [13] pencegahan,penyebaran Top Word Pairs in Tweet in G2:
[100] covid,19 [72] covid,covid [47] vice,president [35] president,pence [34] military,leaders [34] leaders,discovered [34] discovered,contact [34] contact,someone [34] someone,covid [34] covid,self Top Word Pairs in Tweet in G3:
[243] two,weeks [236] died,covid [232] mom,died [232] covid,today [232] today,maryland [232] maryland,anyone [232] anyone,needs [232] needs,help [232] help,going [232] going,polls Top Word Pairs in Tweet in G4:
[96] covid,relief [81] mcconnell,adjourned [81] adjourned,senate [81] senate,until [81] until,11 [81] 11,covid [76] jesselehrich,mcconnell [38] two,weeks [37] sister,received [37] received,bill Top Word Pairs in Tweet in G5:
[84] covid,19 [34] instead,working [34] working,provide [34] provide,covid [34] 19,relief [34] relief,struggling [34] struggling,americans [34] americans,mitch [34] mitch,mcconnell [34] mcconnell,republicans Top Word Pairs in Tweet in G6:
[75] chief,staff [69] white,house [60] house,chief [60] staff,mark [60] mark,meadows [51] two,people [51] people,briefed [51] briefed,matter [51] matter,white [51] meadows,sought Top Word Pairs in Tweet in G7:
[157] covid,19 [156] south,korea [155] checked,south [155] korea,first [155] first,covid [155] 19,cases [155] cases,deaths [155] deaths,february [155] february,more [155] more,225 Top Word Pairs in Tweet in G8:
[169] covid,19 [47] contra,covid [29] pdte,nicolasmaduro [27] lucha,contra [23] molécula,dr10 [17] 19,venezuela [16] dr10,antiviral [16] antiviral,altamente [16] altamente,efectivo [15] certificamos,molécula Top Word Pairs in Tweet in G9:
[27] covid,19 [25] yes,article [25] article,here's [25] here's,link [25] link,title [25] title,make [25] make,sure [25] sure,right [24] gtconway3d,yes [15] ananavarro,projectlincoln Top Word Pairs in Tweet in G10:
[100] covid,19 [79] 19,relief [70] american,people [69] people,won [69] won,forget [69] forget,instead [69] instead,passing [69] passing,adequate [69] adequate,covid [69] relief,legislation Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G8:
Top Replied-To in G9:
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 G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: