The graph represents a network of 8,255 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 Friday, 25 February 2022 at 10:02 UTC.
The requested start date was Friday, 25 February 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, 25-minute period from Tuesday, 22 February 2022 at 12:00 UTC to Thursday, 24 February 2022 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 : 8255
Unique Edges : 3710
Edges With Duplicates : 11721
Total Edges : 15431
Number of Edge Types : 5
Retweet : 5219
MentionsInRetweet : 5637
Mentions : 1449
Replies to : 406
Tweet : 2720
Self-Loops : 2777
Reciprocated Vertex Pair Ratio : 0.00422925477614117
Reciprocated Edge Ratio : 0.00842288701713622
Connected Components : 2217
Single-Vertex Connected Components : 1074
Maximum Vertices in a Connected Component : 854
Maximum Edges in a Connected Component : 2400
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 6.878994
Graph Density : 0.000101061438632914
Modularity : 0.505684
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 8,255 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 Friday, 25 February 2022 at 10:02 UTC.
The requested start date was Friday, 25 February 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, 25-minute period from Tuesday, 22 February 2022 at 12:00 UTC to Thursday, 24 February 2022 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:
[729] covid,19 [546] #warontigray,compounded [546] compounded,climate [546] climate,fuelled [546] infestations,#coronavirus [546] #coronavirus,left [546] left,millions [544] fuelled,locust [544] locust,infestations [544] millions,#tigray Top Word Pairs in Tweet in G1:
[172] covid,19 [50] #coronavirus,#covid19 [36] #covid19,#coronavirus [20] hong,kong [18] casos,coronavirus [16] nuovi,casi [16] nuevos,casos [15] test,positive [15] coronavirus,pandemic [14] 02,2022 Top Word Pairs in Tweet in G2:
[537] #warontigray,compounded [537] compounded,climate [537] climate,fuelled [537] infestations,#coronavirus [537] #coronavirus,left [537] left,millions [535] fuelled,locust [535] locust,infestations [535] millions,#tigray [535] #tigray,ans Top Word Pairs in Tweet in G3:
[211] alertanews24,coronavirus [207] coronavirus,paraguay [207] paraguay,anuncia [207] anuncia,elimina [207] elimina,todas [207] todas,medidas [207] medidas,sanitarias [207] sanitarias,ordena [207] ordena,aforo [207] aforo,100 Top Word Pairs in Tweet in G4:
[136] vtvcanal8,#prevención [98] variante,ómicron [98] ómicron,coronavirus [97] #prevención,variante [97] coronavirus,causante [97] causante,covid [97] covid,19 [97] 19,detectado [97] detectado,110 [97] 110,países Top Word Pairs in Tweet in G5:
[26] andreas,schöfbeck [25] exklusiv,andreas [25] schöfbeck,bkkprovita [25] bkkprovita,vorstand [25] vorstand,ließ [25] ließ,daten [25] daten,10 [25] 10,mio [25] mio,bkk [25] bkk,versicherten Top Word Pairs in Tweet in G6:
[69] emancipator,newspaper [69] newspaper,established [69] established,1820 [69] 1820,push [69] push,abolition [69] abolition,slavery [69] slavery,two [69] two,centuries [69] centuries,later [69] later,being Top Word Pairs in Tweet in G7:
[93] effets,secondaires [88] journal,allemand [88] allemand,die [88] die,welt [88] welt,alerte [88] alerte,effets [88] secondaires,analyse [88] analyse,données [88] données,millions [88] millions,d'assurés Top Word Pairs in Tweet in G8:
[69] ヨシムラ,ハシモトは大阪の医療崩壊を説明せよ [69] ハシモトは大阪の医療崩壊を説明せよ,今日の感染者数は８万３６４人 [69] 今日の感染者数は８万３６４人,死者数は２４６人と連日２００名以上 [69] 死者数は２４６人と連日２００名以上,累計２万２６０１人で戦後最悪の人災 [69] 累計２万２６０１人で戦後最悪の人災,大阪の感染者数は１万１４７２人 [68] masaru_kaneko,ヨシムラ [68] 大阪の感染者数は１万１４７２人,そして今 [28] 英仏独伊,南米を超えた大阪の死亡率 [28] 南米を超えた大阪の死亡率,大阪の直近７日間のコロナ死者 [28] 大阪の直近７日間のコロナ死者,100万人あたり Top Word Pairs in Tweet in G9:
[101] 大阪府が死亡者が多い,は [101] は,吹聴 [101] 吹聴,ではなく [101] ではなく,人口あたり死者数でみた場合 [101] 人口あたり死者数でみた場合,事実です [101] 事実です,また [101] また,死因を問わない集計方法は全国共通です [101] 死因を問わない集計方法は全国共通です,人口100万人あたりの新型コロナウイルス死者数 [100] yanai_factcheck,大阪府が死亡者が多い [6] baba_ishin,大阪市では救急車を呼んでも受入先の病院が見つからない事例が前々年の4倍近くになっている Top Word Pairs in Tweet in G10:
[94] arnm,inquiétude [94] inquiétude,grande [94] grande,cie [94] cie,d'assurance [94] d'assurance,bkk [94] bkk,analysé [94] analysé,données [94] données,10 [94] 10,9m [94] 9m,d'assurés Top Replied-To in Entire Graph:
Top Replied-To in G4:
Top Replied-To in G5:
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: