The graph represents a network of 9,835 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 12 June 2022 at 07:29 UTC.
The requested start date was Sunday, 12 June 2022 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, 14-minute period from Wednesday, 08 June 2022 at 12:03 UTC to Friday, 10 June 2022 at 12:17 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 : 9835
Unique Edges : 5414
Edges With Duplicates : 11438
Total Edges : 16852
Number of Edge Types : 5
Retweet : 5054
MentionsInRetweet : 5961
Tweet : 3168
Mentions : 2162
Replies to : 507
Self-Loops : 3224
Reciprocated Vertex Pair Ratio : 0.00716314684451031
Reciprocated Edge Ratio : 0.0142244022072348
Connected Components : 2853
Single-Vertex Connected Components : 1219
Maximum Vertices in a Connected Component : 1255
Maximum Edges in a Connected Component : 2703
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 8.000054
Graph Density : 8.43178253672892E-05
Modularity : 0.551587
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 9,835 Twitter users whose tweets in the requested range contained "COVID-19", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 12 June 2022 at 07:29 UTC.
The requested start date was Sunday, 12 June 2022 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, 14-minute period from Wednesday, 08 June 2022 at 12:03 UTC to Friday, 10 June 2022 at 12:17 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-19
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:
[6096] covid,19 [297] 19,vaccine [251] contra,covid [177] 19,pandemic [148] vaksinasi,covid [147] 19,infections [142] first,time [135] two,months [132] time,two [132] hut,bhayangkara Top Word Pairs in Tweet in G1:
[1124] covid,19 [72] vaksinasi,covid [70] more,800 [69] ikea,norway [68] norway,built [68] built,name [68] name,bank [68] bank,more [68] 800,listings [68] listings,available Top Word Pairs in Tweet in G2:
[166] covid,19 [72] contra,covid [46] lucha,contra [33] nuevos,casos [33] pdte,nicolasmaduro [33] nicolasmaduro,agradeció [33] agradeció,nombre [33] nombre,pueblo [33] türkiye,solidaridad [33] solidaridad,brindada Top Word Pairs in Tweet in G3:
[75] covid,19 [60] spanish,police [60] police,charge [60] charge,big [60] big,pharma [60] pharma,boss [60] boss,falsifying [60] falsifying,covid [60] 19,vax [60] vax,status Top Word Pairs in Tweet in G4:
[49] covid,19 [41] nouveau,texte [41] texte,loi [40] conseil,ministres [35] quand,tous [35] tous,journalistes [35] journalistes,insultaient [35] insultaient,prix [35] prix,nobel [35] nobel,médecine Top Word Pairs in Tweet in G5:
[123] covid,19 [33] #mecfs,#longcovid [33] #longcovid,18 [33] 18,monaten [33] monaten,covid [33] 19,induziertem [33] induziertem,cfs [33] cfs,habe [33] habe,rd_hessen [33] rd_hessen,melden Top Word Pairs in Tweet in G6:
[67] covid,19 [23] children,paid [23] paid,heaviest [23] heaviest,price [23] price,over [23] over,last [23] last,two [23] two,years [23] years,mainly [23] mainly,due Top Word Pairs in Tweet in G7:
[14] covid,19 [5] 100,000 [4] day,average [3] peru,fig [3] fig,below [3] below,shows [3] shows,ivermectin [3] ivermectin,intervention [3] intervention,matched [3] matched,decreasing Top Word Pairs in Tweet in G8:
[150] covid,19 [112] first,time [112] two,months [111] 19,infections [111] time,two [68] breaking,covid [68] infections,uk [68] uk,risen [68] risen,first [68] months,according Top Word Pairs in Tweet in G9:
[121] covid,19 [35] against,omicron [34] protection,against [34] omicron,variant [23] 19,vaccine [23] redesigned,version [23] version,moderna's [23] moderna's,covid [23] 19,booster [23] booster,shot Top Word Pairs in Tweet in G10:
[93] covid,19 [56] rothschilds,patented [56] patented,covid [56] 19,biometric [56] biometric,tests [56] tests,2015 [56] 2015,2017 [54] 2017,both [54] both,filed [54] filed,updated Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: