The graph represents a network of 5,973 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 Friday, 03 April 2020 at 08:38 UTC.
The requested start date was Friday, 03 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, 6-hour, 39-minute period from Sunday, 29 March 2020 at 00:21 UTC to Wednesday, 01 April 2020 at 07:01 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 : 5973
Unique Edges : 5598
Edges With Duplicates : 1112
Total Edges : 6710
Number of Edge Types : 4
MentionsInRetweet : 3877
Tweet : 731
Replies to : 770
Mentions : 1332
Self-Loops : 731
Reciprocated Vertex Pair Ratio : 0.00514233241505969
Reciprocated Edge Ratio : 0.0102320482367988
Connected Components : 949
Single-Vertex Connected Components : 335
Maximum Vertices in a Connected Component : 1664
Maximum Edges in a Connected Component : 1881
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 3.896223
Graph Density : 0.000153431006620661
Modularity : 0.812419
NodeXL Version : 1.0.1.429
Data Import : The graph represents a network of 5,973 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 Friday, 03 April 2020 at 08:38 UTC.
The requested start date was Friday, 03 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, 6-hour, 39-minute period from Sunday, 29 March 2020 at 00:21 UTC to Wednesday, 01 April 2020 at 07:01 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:
[4226] sars,cov [970] anti,spike [949] spike,antibody [949] disease,worse [946] covid,disease [945] cautionary,tale [945] tale,anti [945] antibody,make [945] make,covid [945] worse,study Top Word Pairs in Tweet in G1:
[927] anti,spike [922] disease,worse [918] cautionary,tale [918] tale,anti [918] spike,antibody [918] antibody,make [918] make,covid [918] covid,disease [918] worse,study [917] virusesimmunity,cautionary Top Word Pairs in Tweet in G2:
[517] sars,cov [160] ø,ø [128] ø,ù [98] ù,ø [70] covid,19 [59] mers,cov [52] ù,ù [50] cov,sars [34] severe,acute [34] respiratory,syndrome Top Word Pairs in Tweet in G3:
[334] sars,cov [321] 2005,already [321] already,known [321] known,chloroquine [321] chloroquine,treat [321] treat,sars [321] cov,using [321] using,before [321] before,exposure [320] inevitable_et,2005 Top Word Pairs in Tweet in G4:
[198] sars,cov [132] mers,cov [129] reverse,genetics [129] genetics,approaches [129] cov,mers [128] approaches,generated [128] generated,pre [128] sequence,especially [128] especially,those [127] pre,emergent Top Word Pairs in Tweet in G5:
[316] sars,cov [290] cov,spike [289] crystal,structure [289] structure,sars [285] receptor,binding [285] binding,domain [283] paper,nature [283] nature,determined [283] determined,crystal [283] spike,receptor 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:
[330] sars,cov [165] zinc,found [165] found,inhibit [165] inhibit,sars [165] cov,replication [165] replication,theoretically [165] theoretically,activity [165] activity,against [165] against,sars [165] cov,fact Top Word Pairs in Tweet in G8:
[168] sars,cov [54] study,entry [54] entry,pathway [54] pathway,sars [54] cov,limited [54] limited,cross [54] cross,neutralization [54] neutralization,activities [54] activities,between [54] between,sars Top Word Pairs in Tweet in G9:
[315] µà,ˆà [312] ˆà,ˆà [202] ˆà,µà [144] ˆà,ƒà [134] žà,ƒà [124] washikirei,ˆà [92] šà,µà [84] žà,ˆà [82] ˆà,ªà [82] ƒà,šà Top Word Pairs in Tweet in G10:
[75] sars,cov [39] full,link [39] link,case [39] case,above [39] above,work [39] work,preview [39] preview,original [39] original,article [38] holabhiv,full [27] note,viruses Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G5:
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Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: