The graph represents a network of 2,635 Twitter users whose tweets in the requested range contained "SARS-NCOV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 02 May 2021 at 10:01 UTC.
The requested start date was Sunday, 02 May 2021 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 12-day, 13-hour, 8-minute period from Sunday, 18 April 2021 at 00:28 UTC to Friday, 30 April 2021 at 13:36 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 : 2635
Unique Edges : 1491
Edges With Duplicates : 4010
Total Edges : 5501
Number of Edge Types : 5
Retweet : 1278
MentionsInRetweet : 1616
Replies to : 339
Mentions : 2012
Tweet : 256
Self-Loops : 267
Reciprocated Vertex Pair Ratio : 0.00824278756088423
Reciprocated Edge Ratio : 0.0163507989594946
Connected Components : 377
Single-Vertex Connected Components : 124
Maximum Vertices in a Connected Component : 794
Maximum Edges in a Connected Component : 1757
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.425645
Graph Density : 0.000387719199664582
Modularity : 0.492913
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 2,635 Twitter users whose tweets in the requested range contained "SARS-NCOV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 02 May 2021 at 10:01 UTC.
The requested start date was Sunday, 02 May 2021 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 12-day, 13-hour, 8-minute period from Sunday, 18 April 2021 at 00:28 UTC to Friday, 30 April 2021 at 13:36 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 : SARS-NCOV
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:
[1171] sars,cov [333] covid,19 [242] cov,variant [231] variant,interest [230] classified,sars [230] variant,526 [230] 526,variant [230] interest,treatments [230] shown,less [229] cdc,classified Top Word Pairs in Tweet in G1:
[237] sars,cov [226] cdc,classified [226] classified,sars [226] cov,variant [226] variant,526 [226] 526,variant [226] variant,interest [226] interest,treatments [226] treatments,#covid19 [226] #covid19,shown Top Word Pairs in Tweet in G2:
[195] conclusions,vaccination [195] vaccination,against [195] against,sars [195] sars,cov [195] cov,remains [195] remains,critical [195] critical,control [195] control,covid [195] covid,19 [195] 19,pandemic Top Word Pairs in Tweet in G3:
[176] sars,cov [174] インド株,二重変異 [174] 二重変異,などの言葉が飛び交っています [174] などの言葉が飛び交っています,この変異株 [174] この変異株,617系統 [174] 617系統,は [174] は,免疫性と感染性に関わる部分に変異があるが [174] 免疫性と感染性に関わる部分に変異があるが,その程度はまだ十分にはわかっていません [174] その程度はまだ十分にはわかっていません,感染研からの報告 [174] 感染研からの報告,超専門的ですが Top Word Pairs in Tweet in G4:
[25] sars,ncov [24] numbers_truth,nycweatherrepor [24] nycweatherrepor,double_o_sebun [24] angelifrankie,ds13_manon [24] ds13_manon,bryanvilleneuve [24] bryanvilleneuve,carolhakios [24] carolhakios,jamie83107302 [24] cjbowden1,kathmarval [24] kathmarval,_drcjm_ [24] _drcjm_,lilelectronblue Top Word Pairs in Tweet in G5:
[95] sars,cov [62] covid,19 [48] scholars,portal [26] 2021,04 [24] articles,covid [24] portal,périodiques [24] 19,scholars [24] #covid19,#sarscov2 [24] portal,journals [20] chadox1,ncov Top Word Pairs in Tweet in G6:
[61] sars,cov [32] 空気感染ならn95マスク以外は効果がないはず,反論 [32] 反論,布マスクであってもかなり小さい粒子を捕捉できます [32] 布マスクであってもかなり小さい粒子を捕捉できます,とはいえ粒子が小さくなれば効果は減るのは事実 [31] uchiyamasunao,空気感染ならn95マスク以外は効果がないはず [31] とはいえ粒子が小さくなれば効果は減るのは事実,マスクなどの対策によりインフルは流 [28] brief,sars [26] science,brief [22] cov,potential [22] potential,airborne Top Word Pairs in Tweet in G7:
[35] 24,tenth [35] tenth,limited [35] limited,evidence [35] evidence,support [35] support,another [35] another,route [35] route,transmission [35] transmission,dominant [35] dominant,add [35] add,important Top Word Pairs in Tweet in G8:
[71] thanks,#opendata [71] #opendata,sharing [71] sharing,gisaid [71] #covid19,#sarscov2 [66] gisaid,we've [66] we've,updated [66] #sarscov2,sequences [61] nextstrain,thanks [13] updated,36362 [13] 36362,#covid19 Top Word Pairs in Tweet in G9:
[54] cov,新型コロナウイルス [45] sars,cov [38] 廃棄物を扱う際に接触感染が疑われた清掃員や医療従事者のsars,cov [33] 新型コロナウイルス,感染 [33] 感染,4月27日 [33] 4月27日,国立感染症研究所 [32] earl_covid19_tw,廃棄物を扱う際に接触感染が疑われた清掃員や医療従事者のsars [24] 4月26日,国立感染症研究所 [21] 新型コロナウイルス,の変異株b [21] の変異株b,617系統 Top Word Pairs in Tweet in G10:
[3] doctorsavage8,markblei [3] markblei,oldstudentnow [3] gailmaga,lou_suzykolb [3] lou_suzykolb,laylow88861429 [3] anti_liberal3,warriorclayton1 [3] warriorclayton1,jimmydeen40 [3] thereeltruth_,allie4christ [3] allie4christ,chrisg409ubc [3] chrisg409ubc,iamisjp [3] iamisjp,clarabell_cow Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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: