The graph represents a network of 8,864 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, 18 December 2022 at 08:27 UTC.
The requested start date was Sunday, 18 December 2022 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 2-day, 0-hour, 13-minute period from Wednesday, 14 December 2022 at 12:04 UTC to Friday, 16 December 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 : 8864
Unique Edges : 4396
Edges With Duplicates : 12240
Total Edges : 16636
Number of Edge Types : 5
Retweet : 5538
MentionsInRetweet : 6340
Replies to : 524
Mentions : 1600
Tweet : 2634
Self-Loops : 2712
Reciprocated Vertex Pair Ratio : 0.00435506596644037
Reciprocated Edge Ratio : 0.00867236321897717
Connected Components : 2291
Single-Vertex Connected Components : 997
Maximum Vertices in a Connected Component : 2571
Maximum Edges in a Connected Component : 6565
Maximum Geodesic Distance (Diameter) : 31
Average Geodesic Distance : 11.320598
Graph Density : 9.98069897529624E-05
Modularity : 0.524378
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 8,864 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, 18 December 2022 at 08:27 UTC.
The requested start date was Sunday, 18 December 2022 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 2-day, 0-hour, 13-minute period from Wednesday, 14 December 2022 at 12:04 UTC to Friday, 16 December 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:
[6291] covid,19 [454] 19,vaccines [299] 19,pandemic [289] contra,covid [280] 19,vaccine [258] secret,twitter [252] twitter,portal [206] uncovering,secret [206] following,#twitterfiles [206] documents,uncovering Top Word Pairs in Tweet in G1:
[930] covid,19 [41] 19,pandemic [27] white,house [26] 19,vaccines [26] contra,covid [23] 19,vaccine [22] 19,cases [20] requested,data [20] 19,booster [20] china,share Top Word Pairs in Tweet in G2:
[752] covid,19 [125] combate,covid [122] mascarilla,vacunas [122] consciente,cuídate [122] sé,consciente [122] mejor,combinación [122] combinación,mascarilla [122] vacunas,sé [122] 19,mejor [119] #prevención,combate Top Word Pairs in Tweet in G3:
[174] covid,19 [67] 19,vaccines [52] vaccines,citing [52] heart,damage [52] halt,mrna [52] cardiologist,calls [52] australian,cardiologist [52] mrna,covid [52] calls,halt [52] citing,heart Top Word Pairs in Tweet in G4:
[204] documents,uncovering [204] breaking,following [204] afl,obtained [204] secret,twitter [204] uncovering,secret [204] #twitterfiles,afl [204] following,#twitterfiles [204] obtained,documents [204] twitter,portal [203] america1stlegal,breaking Top Word Pairs in Tweet in G5:
[124] covid,19 [97] 19,vaccines [92] remove,indemnity [84] indemnity,manufacturers [84] manufacturers,covid [53] petition,remove [23] sign,share [21] vaccines,petitions [15] petition,launch [15] public,inquiry Top Word Pairs in Tweet in G6:
[99] covid,19 [18] excess,mortality [14] africa,made [13] winter,break [12] obvious,choice [12] universal,mask [12] tremendous,gains [12] setbacks,vaccine [12] mortality,associated [12] immunization,covid Top Word Pairs in Tweet in G7:
[203] covid,19 [82] 19,vaccines [77] mrna,covid [68] monday,nature [68] 19,mrna [68] study,published [68] published,monday [68] according,study [68] nature,cardiovascular [68] cardiovascular,research Top Word Pairs in Tweet in G8:
[47] pet,scan [47] left,believe [47] myocarditis,gaslighted [47] myocarditis,left [47] scan,results [47] results,myocarditis [47] believe,head [47] gaslighted,left [47] over,year [47] year,myocarditis Top Word Pairs in Tweet in G9:
[35] 第6波や第7波のピークにだいぶ近づきてきたな,人工呼吸器管理を要する重症者数は第7波と同じく入院患者数と比べると少ないけど [35] 19入院患者数,第6波や第7波のピークにだいぶ近づきてきたな [35] 東京都のcovid,19入院患者数 [35] 人工呼吸器管理を要する重症者数は第7波と同じく入院患者数と比べると少ないけど,ここ数日で急激に増えてきた [34] sukunabikona7,東京都のcovid [24] covid,19 [14] test,negative [13] covid,19だけではなく [13] 19だけではなく,他の感染症でも [13] このコメントに同意している皆さんは,子どもの健康を軽視しています Top Word Pairs in Tweet in G10:
[89] mysejahtera,nanti [89] nanti,dapat [89] dapat,hso [89] 19,dan [89] hso,gunakan [89] kemas,kini [89] gunakan,hso [89] positif,kemas [89] dan,keputusan [89] rtk,covid Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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