The graph represents a network of 5,968 Twitter users whose tweets in the requested range contained "SARS-COV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 01 April 2020 at 08:30 UTC.
The requested start date was Wednesday, 01 April 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 3-day, 1-hour, 44-minute period from Saturday, 28 March 2020 at 22:06 UTC to Tuesday, 31 March 2020 at 23:50 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 : 5968
Unique Edges : 5601
Edges With Duplicates : 1060
Total Edges : 6661
Number of Edge Types : 4
MentionsInRetweet : 3976
Replies to : 739
Mentions : 1265
Tweet : 681
Self-Loops : 681
Reciprocated Vertex Pair Ratio : 0.00530358449158742
Reciprocated Edge Ratio : 0.0105512097507731
Connected Components : 919
Single-Vertex Connected Components : 314
Maximum Vertices in a Connected Component : 1805
Maximum Edges in a Connected Component : 2038
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 3.609778
Graph Density : 0.000154362173365485
Modularity : 0.809702
NodeXL Version : 1.0.1.429
Data Import : The graph represents a network of 5,968 Twitter users whose tweets in the requested range contained "SARS-COV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 01 April 2020 at 08:30 UTC.
The requested start date was Wednesday, 01 April 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 3-day, 1-hour, 44-minute period from Saturday, 28 March 2020 at 22:06 UTC to Tuesday, 31 March 2020 at 23:50 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-COV
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:
[4081] sars,cov [1204] anti,spike [1146] disease,worse [1145] spike,antibody [1142] covid,disease [1141] cautionary,tale [1141] tale,anti [1141] antibody,make [1141] make,covid [1141] worse,study Top Word Pairs in Tweet in G1:
[1115] anti,spike [1110] disease,worse [1105] cautionary,tale [1105] tale,anti [1105] spike,antibody [1105] antibody,make [1105] make,covid [1105] covid,disease [1105] worse,study [1105] study,authors Top Word Pairs in Tweet in G2:
[331] sars,cov [318] 2005,already [318] already,known [318] known,chloroquine [318] chloroquine,treat [318] treat,sars [318] cov,using [318] using,before [318] before,exposure [317] inevitable_et,2005 Top Word Pairs in Tweet in G3:
[495] sars,cov [71] covid,19 [56] mers,cov [45] cov,sars [33] severe,acute [32] respiratory,syndrome [27] coronavirus,sars [26] acute,respiratory [19] cov,mers [18] cov,infection Top Word Pairs in Tweet in G4:
[279] sars,cov [248] cov,spike [247] crystal,structure [247] structure,sars [245] receptor,binding [245] binding,domain [243] paper,nature [243] nature,determined [243] determined,crystal [243] spike,receptor Top Word Pairs in Tweet in G5:
[135] sars,cov [83] mers,cov [81] reverse,genetics [81] genetics,approaches [80] approaches,generated [80] generated,pre [80] sequence,especially [80] especially,those [80] those,related [80] cov,mers Top Word Pairs in Tweet in G6:
[212] sars,cov [210] 3x,lagi2 [210] lagi2,namanya [210] namanya,bodoman [210] bodoman,tulisan [210] tulisan,th [210] th,2007 [210] 2007,tsb [210] tsb,menjelaskan [210] menjelaskan,soal Top Word Pairs in Tweet in G7:
[316] sars,cov [158] zinc,found [158] found,inhibit [158] inhibit,sars [158] cov,replication [158] replication,theoretically [158] theoretically,activity [158] activity,against [158] against,sars [158] cov,fact Top Word Pairs in Tweet in G8:
[165] sars,cov [53] study,entry [53] entry,pathway [53] pathway,sars [53] cov,limited [53] limited,cross [53] cross,neutralization [53] neutralization,activities [53] activities,between [53] between,sars Top Word Pairs in Tweet in G9:
[66] อย,างท [66] างท,บอกไปคร [66] บอกไปคร,บ [66] บ,ท [66] ท,ไหนแออ [66] ไหนแออ,ดหนาแน [66] ดหนาแน,น [66] น,ท [66] ท,น [66] น,นม Top Word Pairs in Tweet in G10:
[49] sars,cov [6] mers,cov [6] covid,19 [6] cov,sars [5] respiratory,syndrome [5] cov,infection [4] potus,right [4] right,#kag [4] #kag,chloroquine [4] chloroquine,known Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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: