The graph represents a network of 8,834 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 Monday, 05 December 2022 at 08:13 UTC.
The requested start date was Monday, 05 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 3-day, 0-hour, 15-minute period from Thursday, 01 December 2022 at 12:02 UTC to Sunday, 04 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 : 8834
Unique Edges : 3897
Edges With Duplicates : 12590
Total Edges : 16487
Number of Edge Types : 5
Retweet : 5829
MentionsInRetweet : 6471
Replies to : 524
Mentions : 1405
Tweet : 2258
Self-Loops : 2326
Reciprocated Vertex Pair Ratio : 0.00431993716455033
Reciprocated Edge Ratio : 0.00860271115745568
Connected Components : 2023
Single-Vertex Connected Components : 801
Maximum Vertices in a Connected Component : 2580
Maximum Edges in a Connected Component : 5349
Maximum Geodesic Distance (Diameter) : 35
Average Geodesic Distance : 13.832207
Graph Density : 9.83202487861127E-05
Modularity : 0.512472
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 8,834 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 Monday, 05 December 2022 at 08:13 UTC.
The requested start date was Monday, 05 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 3-day, 0-hour, 15-minute period from Thursday, 01 December 2022 at 12:02 UTC to Sunday, 04 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:
[5784] covid,19 [499] grand,prix [489] take,place [483] prix,take [481] chinese,grand [468] 19,situation [466] place,due [464] 2023,chinese [457] ongoing,difficulties [449] due,ongoing Top Word Pairs in Tweet in G1:
[746] covid,19 [29] contra,covid [29] 19,pandemic [23] 19,vaccine [22] casos,covid [20] pandemi,covid [19] 19,booster [17] during,covid [14] contre,covid [14] 19,cases Top Word Pairs in Tweet in G2:
[456] covid,19 [435] take,place [434] prix,take [434] difficulties,presented [434] 2023,chinese [434] grand,prix [434] due,ongoing [434] place,due [434] chinese,grand [434] ongoing,difficulties Top Word Pairs in Tweet in G3:
[448] covid,19 [185] vtvcanal8,#jornadadevacunación [184] enfermarte,gravemente [184] tienes,probabilidades [184] estado,recientemente [184] recientemente,tienes [184] #jornadadevacunación,estás [184] embarazada,estado [184] probabilidades,enfermarte [184] estás,embarazada Top Word Pairs in Tweet in G4:
[279] oscar,graf [279] bruno,oscar [278] morreu,após [278] veneno,chamado [278] tomar,uma [278] 28,anos [278] astrazeneca,supostamente [278] única,dose [278] após,tomar [278] dose,veneno Top Word Pairs in Tweet in G5:
[264] covid,19 [249] 19,more [249] feeling,ill [249] first,confirmed [249] wuhan,china [249] china,starts [249] today,man [249] becomes,first [249] starts,feeling [249] ill,later Top Word Pairs in Tweet in G6:
[81] covid,19 [30] 19,ansm [25] contre,covid [23] plateau,cyrilhanouna [23] cyrilhanouna,20h10 [23] 20h10,tpmp [23] présidente,covars [23] sanction,mon [23] soir,plateau [23] mon,encontre Top Word Pairs in Tweet in G7:
[113] kelly,ernby [111] orange,county [110] announced,orange [110] california,deputy [110] night,announced [110] rising,star [110] district,attorney [110] attorney,kelly [110] deputy,district [110] ernby,rising Top Word Pairs in Tweet in G8:
[35] sukunabikona7,covid [34] まぁ,正直言ってその研究結果自体はかなり微妙だし [34] たぶん論文読んでいなさそうな人による葛根湯,小柴胡湯加桔梗石膏がcovid [34] 小柴胡湯加桔梗石膏がcovid,19に有効だーみたいなツイートが複数バズっていますが [34] さて,たぶん論文読んでいなさそうな人による葛根湯 [34] 19に有効だーみたいなツイートが複数バズっていますが,まぁ [33] sukunabikona7,さて [33] 正直言ってその研究結果自体はかなり微妙だし,変な誤解を持って自己判断で内服する人が出そうなの [25] 小柴胡湯加桔梗石膏ではなく,covid [25] ついでに漢方薬は2剤混ぜたら基本的には別物と考えたほうがいいので,今回の研究を受けて葛根湯 Top Word Pairs in Tweet in G9:
[87] problème,gestion [87] musk,twitter [87] déclaration,scandaleuse [87] gros,problème [87] gestion,musk [87] macron,qualifie [87] qualifie,gros [87] emmanuel,macron [87] scandaleuse,emmanuel [87] twitter,vérité Top Word Pairs in Tweet in G10:
[71] covid,19 [24] ministre,santé [23] françois,braun [15] bfmtv,covid [13] santé,covid [13] 19,grippe [13] impératif,personnes [13] personnes,fragiles [13] non,vaccinés [13] grippe,c'est Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
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: