The graph represents a network of 6,043 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 Monday, 25 October 2021 at 09:39 UTC.
The requested start date was Monday, 25 October 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 13-day, 11-hour, 29-minute period from Monday, 11 October 2021 at 00:09 UTC to Sunday, 24 October 2021 at 11:39 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 : 6043
Unique Edges : 2176
Edges With Duplicates : 8423
Total Edges : 10599
Number of Edge Types : 5
Retweet : 3955
Tweet : 438
MentionsInRetweet : 4280
Replies to : 674
Mentions : 1252
Self-Loops : 483
Reciprocated Vertex Pair Ratio : 0.00591615956727519
Reciprocated Edge Ratio : 0.0117627289531171
Connected Components : 613
Single-Vertex Connected Components : 184
Maximum Vertices in a Connected Component : 3444
Maximum Edges in a Connected Component : 6844
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.610627
Graph Density : 0.000162988376964974
Modularity : 0.534477
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 6,043 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 Monday, 25 October 2021 at 09:39 UTC.
The requested start date was Monday, 25 October 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 13-day, 11-hour, 29-minute period from Monday, 11 October 2021 at 00:09 UTC to Sunday, 24 October 2021 at 11:39 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:
[4709] sars,cov [1885] cov,262 [1829] proposition,loi [1823] contre,sars [1811] rejette,proposition [1777] 262,voix [1777] voix,contre [1769] 64,voix [1768] contre,64 [1765] sénat,rejette Top Word Pairs in Tweet in G1:
[1657] sars,cov [1656] proposition,loi [1654] loi,#vaccinationobligatoire [1653] contre,sars [1651] #vaccinationobligatoire,contre [1641] rejette,proposition [1638] cov,262 [1635] 262,voix [1635] voix,contre [1633] sénat,rejette Top Word Pairs in Tweet in G2:
[391] vaccin,traditionnel [391] traditionnel,valneva [391] valneva,démontre [391] démontre,essai [391] essai,efficacité [391] efficacité,supérieure [391] supérieure,celle [391] celle,astrazeneca [390] maxdelvallee,vaccin [47] sars,cov Top Word Pairs in Tweet in G3:
[301] sars,cov [278] cov,infection [277] hydroxycholoquine,strong [277] strong,antiviral [277] antiviral,effects [277] effects,sars [274] 2005,hydroxycholoquine [272] cdc,2005 [265] cells,inhibitory [256] charlie3593,cdc Top Word Pairs in Tweet in G4:
[286] sars,cov [274] フランス上院,sars [274] cov,2に対するワクチン接種の義務化法案を否決 [274] 2に対するワクチン接種の義務化法案を否決,反対262票 [274] 反対262票,賛成64票 [273] universalsoftw2,フランス上院 [4] publicsenat,sénat [4] sénat,rejette [4] rejette,proposition [4] proposition,loi Top Word Pairs in Tweet in G5:
[224] sars,cov [207] against,sars [206] effective,against [205] glycyrrhizin,effective [202] scientists,found [197] found,glycyrrhizin [109] 2003,scientists [108] cov,early [108] early,2020 [88] 2020,scientists Top Word Pairs in Tweet in G6:
[313] sars,cov [38] των,νέων [38] νέων,μολύνσεων [38] μολύνσεων,sars [38] cov,πανελλαδικά [25] η,κατανομή [25] κατανομή,των [24] η,εξέλιξη [24] εξέλιξη,των [22] covid,19 Top Word Pairs in Tweet in G7:
[168] sars,cov [162] uniklinikum,bonn [162] bonn,sucht [162] sucht,studie [162] studie,postcovid [162] postcovid,25 [162] 25,75jährige [162] 75jährige,nachgewiesen [162] nachgewiesen,sars [162] cov,infizierte Top Word Pairs in Tweet in G8:
[73] sars,cov [12] mediated,infection [8] kesvelt,menachery [8] spike,mediated [7] past_is_future,mjnanostretch [7] mjnanostretch,jfjulien [7] jfjulien,dmoulding [7] rossana38510044,mrandersoninneo [7] regardless,host [7] moreover,sars Top Word Pairs in Tweet in G9:
[111] científicos,hospital [111] hospital,universitario [111] universitario,lausana [111] lausana,escuela [111] escuela,politécnica [111] politécnica,federal [111] federal,suiza [111] suiza,epflp [111] epflp,descubrieron [110] proceso,científicos Top Word Pairs in Tweet in G10:
[88] フランス上院,sars [88] sars,cov [83] cov,2に対する惑 [83] 2に対する惑,珍接種の [83] 珍接種の,義務化法案を否決 [83] 義務化法案を否決,反対262票 [83] 反対262票,賛成64票で圧勝 [82] connectinghope_,フランス上院 [5] universalsoftw2,フランス上院 [5] cov,2に対するワクチン接種の義務化法案を否決 Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
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: