The graph represents a network of 8,513 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 Sunday, 16 October 2022 at 09:30 UTC.
The requested start date was Sunday, 16 October 2022 at 00:01 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, 1-hour, 12-minute period from Wednesday, 12 October 2022 at 11:13 UTC to Friday, 14 October 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 : 8513
Unique Edges : 4866
Edges With Duplicates : 11101
Total Edges : 15967
Number of Edge Types : 5
Retweet : 4759
MentionsInRetweet : 5814
Replies to : 933
Mentions : 2072
Tweet : 2389
Self-Loops : 2476
Reciprocated Vertex Pair Ratio : 0.00566645202833226
Reciprocated Edge Ratio : 0.0112690485337431
Connected Components : 2071
Single-Vertex Connected Components : 982
Maximum Vertices in a Connected Component : 1598
Maximum Edges in a Connected Component : 3810
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 8.104981
Graph Density : 0.000107765853904113
Modularity : 0.533806
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 8,513 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 Sunday, 16 October 2022 at 09:30 UTC.
The requested start date was Sunday, 16 October 2022 at 00:01 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, 1-hour, 12-minute period from Wednesday, 12 October 2022 at 11:13 UTC to Friday, 14 October 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:
[722] covid,19 [441] centro,inmunización [441] lugar,trabajo [441] inmunización,cercano [441] acude,centro [441] #prevención,acude [438] domicilio,lugar [438] ponte,vacuna [438] trabajo,ponte [438] cercano,domicilio Top Word Pairs in Tweet in G1:
[151] covid,19 [66] birth,rate [66] rate,drop [65] drop,europe [63] links,coronavirus [59] coronavirus,lockdowns [58] lockdowns,birth [57] study,links [38] long,covid [30] #coronavirus,#covid19 Top Word Pairs in Tweet in G2:
[435] acude,centro [435] #prevención,acude [435] centro,inmunización [435] lugar,trabajo [435] inmunización,cercano [432] cercano,domicilio [432] trabajo,ponte [432] domicilio,lugar [432] ponte,vacuna [418] vtvcanal8,#prevención Top Word Pairs in Tweet in G3:
[153] onbeschaamdheid,wilde [153] die,kritisch [153] registraties,afpakken [153] afpakken,artsen [153] wat,onbeschaamdheid [153] artsen,die [153] zelfs,big [153] wilde,zelfs [153] kritisch,waren [153] big,registraties Top Word Pairs in Tweet in G4:
[166] war,aufgrund [166] schütze,war [166] coronavirus,schütze [166] stoff,ausbreitung [166] gestern,gab [166] eu,parlament [166] gab,pfizer [166] parlament,stoff [166] pfizer,eu [166] ausbreitung,coronavirus Top Word Pairs in Tweet in G5:
[28] margarete,stokowski [28] stokowski,marga_owski [20] gesprochen,danke [20] marga_owski,#bundespressekonferenz [20] #longcovid,gesprochen [20] danke,dafür [20] #bundespressekonferenz,#longcovid [19] dafür,#ichs [19] kinderdocnina,margarete [14] articles,preprints Top Word Pairs in Tweet in G6:
[45] vaccination,obligatoire [45] covid,19 [44] trahison,avons [44] obligatoire,refuser [44] défend,vaccination [44] bernard,kouchner [44] kouchner,défend [44] 19,bernard [44] 7000,articles [44] refuser,trahison Top Word Pairs in Tweet in G7:
[30] covid,19 [25] booster,children [25] coronavirus,booster [25] making,shots [25] updated,bivalent [25] clears,updated [25] children,young [25] young,making [25] bivalent,coronavirus [25] fda,clears Top Word Pairs in Tweet in G8:
[148] bb45_colorado,ssn788_colorado [94] 詳細は下記urlより,#新型コロナウイルス [91] #新型コロナウイルス,#covid19 [26] ssn788_colorado,おかしいと思ってみた見たら [26] 10月に入りδが増えている,まだドミナントではないが [26] まだドミナントではないが,δは強毒性なので憂慮すべき [26] おかしいと思ってみた見たら,10月に入りδが増えている [26] 2人死亡,詳細は下記urlより [25] 12が6,21に対応する可能性がある [25] 21に対応する可能性がある,10 Top Word Pairs in Tweet in G9:
[54] leggi,più [49] più,#casaitaliaradio [48] #webradio,#radio [48] #casaitaliaradio,#webradio [47] #politicaitaliana,#coronavirus [47] #arredamento,#governo [47] #home,#design [47] #economia,#arredamento [47] #covid,#news [47] #politica,#interiordesign Top Word Pairs in Tweet in G10:
[76] gewaltig,allen [76] corona,impfstoff [76] allen,seiten [76] seiten,jeden [76] jeden,preis [76] pfizer,stinkt [76] stinkt,gewaltig [76] die,corona [76] leyen,pfizer [76] beschaffung,leyen Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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: