The graph represents a network of 4,192 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 Saturday, 21 November 2020 at 10:40 UTC.
The requested start date was Friday, 20 November 2020 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 13-day, 23-hour, 31-minute period from Friday, 06 November 2020 at 01:25 UTC to Friday, 20 November 2020 at 00:57 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 : 4192
Unique Edges : 2777
Edges With Duplicates : 3668
Total Edges : 6445
Number of Edge Types : 5
Tweet : 602
Retweet : 1569
MentionsInRetweet : 1969
Replies to : 843
Mentions : 1462
Self-Loops : 630
Reciprocated Vertex Pair Ratio : 0.00739984689971932
Reciprocated Edge Ratio : 0.0146909827760892
Connected Components : 870
Single-Vertex Connected Components : 304
Maximum Vertices in a Connected Component : 979
Maximum Edges in a Connected Component : 1751
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 8.157324
Graph Density : 0.0002247181801789
Modularity : 0.630115
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 4,192 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 Saturday, 21 November 2020 at 10:40 UTC.
The requested start date was Friday, 20 November 2020 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 13-day, 23-hour, 31-minute period from Friday, 06 November 2020 at 01:25 UTC to Friday, 20 November 2020 at 00:57 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:
[3085] sars,cov [305] weg,gebracht [305] gebracht,worden [301] indirekte,impfpflicht [300] worden,die [298] die,indirekte [295] impfpflicht,sars [290] neue,infektionsschutzgesetz [290] infektionsschutzgesetz,weg [290] cov,steht Top Word Pairs in Tweet in G1:
[467] sars,cov [66] αναλυτικοί,πίνακες [59] νέες,μολύνσεις [59] μολύνσεις,sars [59] cov,αναλυτικοί [47] covid,19 [24] virus,sars [23] mers,cov [23] cov,sars [22] δ,μακεδονία Top Word Pairs in Tweet in G2:
[291] sars,cov [290] indirekte,impfpflicht [289] neue,infektionsschutzgesetz [289] infektionsschutzgesetz,weg [289] weg,gebracht [289] gebracht,worden [289] worden,die [289] die,indirekte [289] impfpflicht,sars [286] acu2020org,neue Top Word Pairs in Tweet in G3:
[138] sars,cov [22] 17,years [14] safe,vax [13] cov,17 [13] vax,sars [12] find,safe [9] cov,died [9] corona,virus [8] patients,recovered [8] recovered,sars Top Word Pairs in Tweet in G4:
[195] sars,cov [122] cov,bestaat [108] aan,tonen [107] mensen,ik [107] ik,ga [107] ga,dit [107] dit,kabinet [107] kabinet,uitdagen [107] uitdagen,aan [107] tonen,dat Top Word Pairs in Tweet in G5:
[88] sars,cov [14] against,sars [12] estrogen,protects [12] protects,mice [12] mice,against [12] cov,covid [12] covid,19 [12] 19,retrospective [12] retrospective,study [12] study,shows Top Word Pairs in Tweet in G6:
[85] sars,cov [65] presscoreca,chloroquine [40] very,sophisticated [34] chloroquine,effective [34] effective,pre [34] pre,infection [34] infection,antiviral [34] antiviral,agent [34] agent,sars [34] cov,dose Top Word Pairs in Tweet in G7:
[82] sars,cov [25] n'y,doutes [25] doutes,virus [25] virus,monté [25] monté,laboratoire [25] laboratoire,institut [25] institut,pasteur [25] pasteur,trois [23] trois,depots [23] depots,brevets Top Word Pairs in Tweet in G8:
[201] vacuna,contra [102] contra,sars [102] sars,cov [101] cronología,vacuna [100] cov,mueve [100] mueve,aterrador [100] aterrador,estudio [100] estudio,video [100] video,min [100] min,vacuna Top Word Pairs in Tweet in G9:
[7] sars,cov [3] jamestodaromd,iagovernor [3] iagovernor,chuckgrassley [3] chuckgrassley,senjoniernst [3] senjoniernst,follow [3] follow,fraudulent [3] fraudulent,retracted [3] retracted,studies [3] studies,find [2] truth_can_heal,jamestodaromd Top Word Pairs in Tweet in G10:
[37] sars,cov [5] covid,19 [5] mers,cov [5] cov,sars [4] cov,mers [4] 422,aa [3] sars,cov2 [3] elonmusk,erujabidi [3] 19,ag [3] differs,sars Top Replied-To in Entire Graph:
Top Replied-To in G2:
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 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: