The graph represents a network of 8,761 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 18 November 2021 at 11:46 UTC.
The requested start date was Thursday, 18 November 2021 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, 16-minute period from Monday, 15 November 2021 at 12:09 UTC to Wednesday, 17 November 2021 at 12:25 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 : 8761
Unique Edges : 3854
Edges With Duplicates : 11564
Total Edges : 15418
Number of Edge Types : 5
Retweet : 5111
MentionsInRetweet : 5542
Tweet : 2811
Mentions : 1497
Replies to : 457
Self-Loops : 2899
Reciprocated Vertex Pair Ratio : 0.00529858227123013
Reciprocated Edge Ratio : 0.0105413105413105
Connected Components : 2313
Single-Vertex Connected Components : 1047
Maximum Vertices in a Connected Component : 1567
Maximum Edges in a Connected Component : 3834
Maximum Geodesic Distance (Diameter) : 28
Average Geodesic Distance : 9.130981
Graph Density : 9.14701361732335E-05
Modularity : 0.51583
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 8,761 Twitter users whose tweets in the requested range contained "Coronavirus", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 18 November 2021 at 11:46 UTC.
The requested start date was Thursday, 18 November 2021 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, 16-minute period from Monday, 15 November 2021 at 12:09 UTC to Wednesday, 17 November 2021 at 12:25 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 : Coronavirus
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:
[772] covid,19 [292] flashback,deux [292] deux,ans [292] ans,jour [292] jour,jour [292] jour,mystérieuse [292] mystérieuse,#maladie [292] #maladie,apparaissait [292] apparaissait,première [292] première,fois Top Word Pairs in Tweet in G1:
[155] covid,19 [30] contra,coronavirus [28] 19,pill [24] #covid19,#coronavirus [23] pfizer,agrees [20] make,covid [18] casos,coronavirus [17] agrees,companies [17] companies,make [16] coronavirus,pandemic Top Word Pairs in Tweet in G2:
[262] allow,manufacturers [262] manufacturers,make [261] make,experimental [259] drugmaker,pfizer [259] pfizer,inc [259] inc,signed [259] signed,deal [259] deal,backed [259] backed,group [259] group,allow Top Word Pairs in Tweet in G3:
[292] flashback,deux [292] deux,ans [292] ans,jour [292] jour,jour [292] jour,mystérieuse [292] mystérieuse,#maladie [292] #maladie,apparaissait [292] apparaissait,première [292] première,fois [292] fois,#wuhan Top Word Pairs in Tweet in G4:
[71] quand,#roumanie [71] #roumanie,pays [71] pays,moins [71] moins,vacciné [71] vacciné,d'#europe [71] d'#europe,après [71] après,bulgarie [71] bulgarie,sa [71] sa,courbe [71] courbe,cas Top Word Pairs in Tweet in G5:
[137] こんなとんでもない放送をしているのに国会もbpoも対応しないのだろうか,メディアが日本の足を引っ張っている [137] メディアが日本の足を引っ張っている,新型コロナ特設サイトより抜粋 [137] 新型コロナ特設サイトより抜粋,2021 [137] 2021,11 [137] 11,15 [137] 15,コロナ死者数 [137] コロナ死者数,インド [137] インド,463 [137] 463,655 [137] 655,イラン Top Word Pairs in Tweet in G6:
[63] biggest,one [63] one,day [63] day,increase [56] increase,record [44] coronavirus,deaths [38] deaths,biggest [36] russia,reports [36] reports,247 [36] 247,coronavirus [36] record,36 Top Word Pairs in Tweet in G7:
[90] 日本維新の会に注目が集まっている今こそ,大阪府のコロナ死亡率が全国トップであることを広めたい [90] 大阪府のコロナ死亡率が全国トップであることを広めたい,詳しくはリンク先のデータをご覧ください [89] psj95708651,日本維新の会に注目が集まっている今こそ [20] 日本維新の会が,改革政党 [20] 改革政党,であるかのようなマスコミ報道も見受けられますので [20] であるかのようなマスコミ報道も見受けられますので,あらためて実績を紹介しておきます [20] あらためて実績を紹介しておきます,大阪府のコロナ感染死者数は都道府県の中で飛び抜けて多く [20] 大阪府のコロナ感染死者数は都道府県の中で飛び抜けて多く,維新は [20] 維新は,身を切る改革 [20] 身を切る改革,と言っていますが Top Word Pairs in Tweet in G8:
[2] kathmarval,voiceof81716176 [2] voiceof81716176,mcfunny [2] mcfunny,takethatct [2] takethatct,agoldsmithesq [2] agoldsmithesq,agtcnews [2] agtcnews,suesue2point0 [2] suesue2point0,docstardust [2] docstardust,smyl2day Top Word Pairs in Tweet in G9:
[26] covid,19 [23] direct,coronavirus [23] coronavirus,pfizer [23] pfizer,biontech [23] biontech,moderna [23] moderna,engrangent [23] engrangent,plus [23] plus,000 [23] 000,dollars [23] dollars,profits Top Word Pairs in Tweet in G10:
[20] covid,19 [19] coronavirus,vaccine [16] significant,coronavirus [15] australian,taxpayers [15] taxpayers,facing [15] facing,hefty [15] hefty,bill [15] bill,rare [15] rare,significant [15] vaccine,injuries 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 G6:
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:
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: