The graph represents a network of 7,951 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 Monday, 05 December 2022 at 10:34 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, 1-hour, 23-minute period from Thursday, 01 December 2022 at 11:02 UTC to Sunday, 04 December 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 : 7951
Unique Edges : 3882
Edges With Duplicates : 11232
Total Edges : 15114
Number of Edge Types : 5
Retweet : 4943
MentionsInRetweet : 5578
Tweet : 2520
Replies to : 682
Mentions : 1391
Self-Loops : 2643
Reciprocated Vertex Pair Ratio : 0.00399408284023669
Reciprocated Edge Ratio : 0.00795638721084426
Connected Components : 2031
Single-Vertex Connected Components : 988
Maximum Vertices in a Connected Component : 1719
Maximum Edges in a Connected Component : 3786
Maximum Geodesic Distance (Diameter) : 33
Average Geodesic Distance : 11.587126
Graph Density : 0.000107371486834851
Modularity : 0.497988
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 7,951 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 Monday, 05 December 2022 at 10:34 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, 1-hour, 23-minute period from Thursday, 01 December 2022 at 11:02 UTC to Sunday, 04 December 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:
[828] covid,19 [470] vacunas,contra [459] compra,vacunas [446] gobierno,ocultó [446] letra,chica [446] ocultó,letra [446] chica,compra [432] domicilio,lugar [432] ponte,vacuna [432] centro,inmunización Top Word Pairs in Tweet in G1:
[206] covid,19 [129] economic,recovery [117] #novel,coronavirus [104] bumpy,despite [104] recovery,slow [104] covid,controls [104] despite,phase [104] phase,covid [71] china,economic [70] slow,bumpy Top Word Pairs in Tweet in G2:
[414] vacunas,contra [414] compra,vacunas [413] letra,chica [413] ocultó,letra [413] gobierno,ocultó [413] chica,compra [242] habrá,conadep [242] temprano,habrá [242] cuarentena,gobierno [242] tarde,temprano Top Word Pairs in Tweet in G3:
[423] cercano,domicilio [423] acude,centro [423] trabajo,ponte [423] ponte,vacuna [423] inmunización,cercano [423] domicilio,lugar [423] lugar,trabajo [423] #prevención,acude [423] centro,inmunización [407] vtvcanal8,#prevención Top Word Pairs in Tweet in G4:
[108] die,geheimen [108] herkunft,coronavirus [108] mails,herkunft [108] geheimen,mails [103] welt,die [33] interessanter,artikel [33] philippmattheis,welt [33] artikel,philippmattheis [32] terran_liberty,interessanter [22] drosten,kollegen Top Word Pairs in Tweet in G5:
[111] vaccin,empêche [111] faut,arrêter [111] maladie,empêche [111] arrêter,culpabiliser [111] gens,vaccin [111] jour,faut [111] témoignage,jour [111] empêche,maladie [111] culpabiliser,gens [110] marc_doyer,témoignage Top Word Pairs in Tweet in G6:
[46] long,covid [43] 000,children [21] people,suffering [21] suffering,long [21] november,69 [21] 6th,november [21] 180,000 [21] covid,6th [21] 69,000 [21] 63,000 Top Word Pairs in Tweet in G7:
[132] agree,brexit [132] country,economy [132] brexit,made [132] economists,agree [132] made,britain [132] britain,poorer [132] underperformed,compared [132] poorer,country [132] economy,underperformed [131] compared,ot Top Word Pairs in Tweet in G8:
[127] china,obligando [127] ver,coronavirus [127] dictadura,comunista [127] hacerse,test [127] anal,ver [127] test,anal [127] policía,dictadura [127] comunista,china [127] mujer,hacerse [127] obligando,mujer Top Word Pairs in Tweet in G9:
[125] #新型コロナウイルス,#covid19 [106] 詳細は下記urlより,#新型コロナウイルス [59] masaru_kaneko,カルトヤマギワの第8波 [50] キシダメの無能無策で,2022年に入って3万1441人が亡くなった [50] 死者数は182人と多い,全数調査を止めた厚労省の集計でも累計4万9826人 [50] 2022年に入って3万1441人が亡くなった,どんどん死者が増加するが [50] 全数調査を止めた厚労省の集計でも累計4万9826人,キシダメの無能無策で [50] 今日の新型コロナ感染者数は11万8201人,死者数は182人と多い [50] カルトヤマギワの第8波,今日の新型コロナ感染者数は11万8201人 [39] 4日17,45時点 Top Word Pairs in Tweet in G10:
[81] italie,soigner [81] vaccins,contre [81] soigner,personnes [81] effets,secondaires [81] secondaires,prétendus [81] ayant,subi [81] clinique,ouvert [81] prétendus,vaccins [81] ouvert,italie [81] subi,effets Top Replied-To in Entire Graph:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
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: