The graph represents a network of 3,054 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 Tuesday, 09 November 2021 at 12:34 UTC.
The requested start date was Tuesday, 09 November 2021 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, 21-hour, 14-minute period from Tuesday, 26 October 2021 at 02:48 UTC to Tuesday, 09 November 2021 at 00:03 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 : 3054
Unique Edges : 1690
Edges With Duplicates : 3429
Total Edges : 5119
Number of Edge Types : 5
Retweet : 1233
MentionsInRetweet : 1516
Mentions : 1406
Replies to : 534
Tweet : 430
Self-Loops : 483
Reciprocated Vertex Pair Ratio : 0.0135087095627444
Reciprocated Edge Ratio : 0.0266573132234304
Connected Components : 580
Single-Vertex Connected Components : 153
Maximum Vertices in a Connected Component : 782
Maximum Edges in a Connected Component : 1917
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.67455
Graph Density : 0.000305774581391273
Modularity : 0.561261
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 3,054 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 Tuesday, 09 November 2021 at 12:34 UTC.
The requested start date was Tuesday, 09 November 2021 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, 21-hour, 14-minute period from Tuesday, 26 October 2021 at 02:48 UTC to Tuesday, 09 November 2021 at 00:03 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:
[2121] sars,cov [718] î,î [353] cov,vaccine [340] 19,vaccines [337] coivd,19 [334] vaccine,development [333] experience,sars [333] development,development [333] development,coivd [333] vaccines,pay Top Word Pairs in Tweet in G1:
[321] sars,cov [321] coivd,19 [320] experience,sars [320] cov,vaccine [320] vaccine,development [320] development,development [320] development,coivd [320] 19,vaccines [320] vaccines,pay [320] pay,attention Top Word Pairs in Tweet in G2:
[643] î,î [325] sars,cov [34] î,îºî [34] îºî,î [27] cov,î [25] η,εξέλιξη [25] εξέλιξη,των [25] των,νέων [25] νέων,μολύνσεων [25] μολύνσεων,sars Top Word Pairs in Tweet in G3:
[132] sars,cov [12] against,sars [10] cov,good [10] good,vaccine [10] vaccine,against [10] cov,apparently [10] apparently,succeed [10] succeed,making [10] making,sars [10] sars,vaccine Top Word Pairs in Tweet in G4:
[98] sars,cov [90] newly,identified [90] identified,monoclonal [90] monoclonal,antibody [90] antibody,broadly [90] broadly,protect [90] protect,mice [90] mice,sars [90] cov,#sarscov2 [90] #sarscov2,multiple Top Word Pairs in Tweet in G5:
[2] sars,cov Top Word Pairs in Tweet in G6:
[17] sars,cov [5] bebert701,chrisjohnsonmd [5] chrisjohnsonmd,adreyzen [5] wjack76995,smashcarm [5] maureenstroud,josiejobee [5] josiejobee,farrishimo [5] farrishimo,thatsnotmine125 [5] nyob7714,bat92799926 [5] bat92799926,themarcam [5] themarcam,tampa_egret Top Word Pairs in Tweet in G7:
[91] sars,cov [19] mers,cov [18] cov,sars [16] cov,mers [15] evasion,strategies [14] review,innate [14] innate,immunity [14] immunity,evasion [14] strategies,highly [14] highly,pathogenic Top Word Pairs in Tweet in G8:
[50] sars,cov [47] important,note [47] note,protease [47] protease,inhibitor [47] inhibitor,originally [47] originally,developed [47] developed,sars [47] cov,2003 [47] 2003,repurposed [47] repurposed,first Top Word Pairs in Tweet in G9:
[3] sars,cov [2] verdadesencial,yzexit [2] yzexit,ceboteamcesar [2] ceboteamcesar,reina_antonio [2] reina_antonio,comodular [2] comodular,sevakbal [2] sevakbal,gatujil [2] gatujil,omaralos [2] omaralos,jaidroglad [2] jaidroglad,ferchomero100 Top Word Pairs in Tweet in G10:
[45] seriously,lost [45] lost,understanding [45] understanding,hold [45] hold,hearing [45] hearing,investigate [45] investigate,doing [45] doing,moving [44] ericrweinstein,seriously [44] moving,taxpa Top Replied-To in Entire Graph:
Top Replied-To in G3:
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Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: