The graph represents a network of 767 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 Thursday, 18 August 2022 at 11:06 UTC.
The requested start date was Thursday, 18 August 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 13-day, 9-hour, 58-minute period from Thursday, 04 August 2022 at 00:27 UTC to Wednesday, 17 August 2022 at 10:25 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 : 767
Unique Edges : 587
Edges With Duplicates : 992
Total Edges : 1579
Number of Edge Types : 5
Retweet : 436
MentionsInRetweet : 652
Tweet : 66
Replies to : 76
Mentions : 349
Self-Loops : 75
Reciprocated Vertex Pair Ratio : 0.00770925110132159
Reciprocated Edge Ratio : 0.0153005464480874
Connected Components : 110
Single-Vertex Connected Components : 36
Maximum Vertices in a Connected Component : 150
Maximum Edges in a Connected Component : 468
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.016652
Graph Density : 0.0015573884892821
Modularity : 0.538415
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 767 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 Thursday, 18 August 2022 at 11:06 UTC.
The requested start date was Thursday, 18 August 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 13-day, 9-hour, 58-minute period from Thursday, 04 August 2022 at 00:27 UTC to Wednesday, 17 August 2022 at 10:25 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 : 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:
[237] casos,nuevos [236] informe,diario [236] diario,#covid_19 [236] casos,activos [236] fallecidos,registrados [232] ministeriosalud,informe [176] sars,cov [168] registrados,59 [153] nuevos,49 [86] #covid_19,13 Top Word Pairs in Tweet in G1:
[236] informe,diario [236] diario,#covid_19 [236] casos,nuevos [236] casos,activos [236] fallecidos,registrados [232] ministeriosalud,informe [168] registrados,59 [153] nuevos,49 [86] #covid_19,13 [86] 13,agosto Top Word Pairs in Tweet in G2:
[22] rrrrgerard,mazagan_ft [22] mazagan_ft,athan0r153 [22] athan0r153,sitting_bull_d [22] sitting_bull_d,francoisboulo [22] francoisboulo,brunobertez [22] brunobertez,anicelajnef [22] anicelajnef,didiermaisto [22] didiermaisto,etienne_chouard [21] alainsebil,rrrrgerard [3] sitting_bull_d,55bellechasse Top Word Pairs in Tweet in G3:
[60] sars,cov [59] 新型コロナウイルス,sars [59] cov,の変異株ba [59] の変異株ba,75系統について [59] 75系統について,国立感染症研究所 [59] 国立感染症研究所,2022年7月8日時点 [59] 2022年7月8日時点,インドより6 [59] インドより6,2報告 [59] 2報告,日本ではインド渡航歴者から検疫で6 [59] 日本ではインド渡航歴者から検疫で6,13検出 Top Word Pairs in Tweet in G4:
[4] 2020,gt [2] swaledalemutton,chimera414 [2] chimera414,tonybaduy [2] tonybaduy,carlsmythe [2] mcfunny,krebiozen [2] krebiozen,mpc_xetts [2] mpc_xetts,rkontroiisto [2] rkontroiisto,willard1951 [2] willard1951,iainmulady [2] iainmulady,jonathanhannah Top Word Pairs in Tweet in G5:
[31] sars,cov [11] covid,19 [8] scholars,portal [7] 新型コロナウイルス,sars [6] chadox1,ncov [6] ncov,19 [6] 2022,08 [6] drml350phd,interesting [5] ba,ba [5] 19,vaccine Top Word Pairs in Tweet in G6:
[21] lazaruslong13,cdc [21] cdc,use [21] use,respiratory [21] respiratory,fluids [21] fluids,droplets [21] droplets,reference [21] reference,covid [19] inhalation,aerosols [19] aerosols,used [19] used,covid Top Word Pairs in Tweet in G7:
[17] masks,work [15] 11,claim [15] claim,masks [15] work,help [15] help,stop [15] stop,spread [15] spread,covid [15] covid,haven't [15] haven't,read [15] read,dozen Top Word Pairs in Tweet in G8:
[3] sars,cov [2] branka0505050,vranes_jelena [2] trpachdronfulja,arsenijevladim1 [2] arsenijevladim1,egox_ego [2] smejemse,antivaxgonic1 [2] nestruchni,kalimer23120938 [2] kalimer23120938,drshamy87 [2] drshamy87,milanovicnenad3 Top Word Pairs in Tweet in G10:
[2] natasha57861427,jxshir0 [2] jxshir0,liadepauw [2] liadepauw,bindlestaff [2] bindlestaff,maggie_xer [2] maggie_xer,nilikm [2] nilikm,convenient [2] convenient,list Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
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: