The graph represents a network of 6,572 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, 08 April 2020 at 08:30 UTC.
The requested start date was Wednesday, 08 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 4-day, 19-hour, 23-minute period from Thursday, 02 April 2020 at 14:58 UTC to Tuesday, 07 April 2020 at 10:22 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 : 6572
Unique Edges : 6752
Edges With Duplicates : 829
Total Edges : 7581
Number of Edge Types : 4
MentionsInRetweet : 4032
Replies to : 973
Mentions : 1678
Tweet : 898
Self-Loops : 898
Reciprocated Vertex Pair Ratio : 0.00924744897959184
Reciprocated Edge Ratio : 0.0183254344391785
Connected Components : 1239
Single-Vertex Connected Components : 491
Maximum Vertices in a Connected Component : 2234
Maximum Edges in a Connected Component : 2901
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 7.568936
Graph Density : 0.000146579990113145
Modularity : 0.859
NodeXL Version : 1.0.1.429
Data Import : The graph represents a network of 6,572 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, 08 April 2020 at 08:30 UTC.
The requested start date was Wednesday, 08 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 4-day, 19-hour, 23-minute period from Thursday, 02 April 2020 at 14:58 UTC to Tuesday, 07 April 2020 at 10:22 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:
[4445] sars,cov [522] covid,19 [456] mers,cov [406] cov,replication [384] inhibit,sars [383] already,known [381] cov,sars [379] known,inhibit [374] niclosamide,anti [374] anti,parasite Top Word Pairs in Tweet in G1:
[777] sars,cov [104] cov,sars [98] mers,cov [62] covid,19 [53] highly,conserved [52] cryptic,epitope [51] conserved,cryptic [51] receptor,binding [51] binding,domains [50] epitope,receptor Top Word Pairs in Tweet in G2:
[407] sars,cov [362] niclosamide,anti [362] anti,parasite [362] parasite,drug [362] drug,wide [362] wide,ranging [362] ranging,antiviral [362] antiviral,already [362] already,known [362] known,inhibit Top Word Pairs in Tweet in G3:
[139] sars,cov [94] know,bavari [78] ep,28 [67] 28,germ [47] wait,until [47] until,see [47] see,mark [47] mark,kulacz's [47] kulacz's,show [47] show,3pm Top Word Pairs in Tweet in G4:
[195] well,anyone [195] anyone,remember [195] remember,built [195] built,chimeric [195] chimeric,virus [195] virus,encoding [195] encoding,novel [195] novel,zoonotic [194] larryschweikart,well [194] zoonotic,co Top Word Pairs in Tweet in G5:
[179] disease,worse [178] anti,spike [177] cautionary,tale [177] tale,anti [177] spike,antibody [177] antibody,make [177] make,covid [177] covid,disease [177] worse,study [177] study,authors Top Word Pairs in Tweet in G6:
[217] sars,cov [73] highly,conserved [73] conserved,cryptic [73] cryptic,epitope [64] #receptorbindingdomains,#sarscov2 [64] #sarscov2,sars [64] cov,highly [61] mmw_lmw,#receptorbindingdomains [61] bats,host [61] host,numerous Top Word Pairs in Tweet in G7:
[122] sars,cov [42] healthcare,worker [42] worker,findings [42] findings,article [42] article,outright [42] outright,nightmare [42] nightmare,study [42] study,surgical [42] surgical,cotton [42] cotton,mask Top Word Pairs in Tweet in G8:
[77] sars,cov [13] covid,19 [7] saldırgan,tip [7] tip,sars [6] 2003,sars [6] cov,infections [6] infections,8098 [6] 8098,deaths [6] deaths,774 [6] 774,17 Top Word Pairs in Tweet in G9:
[89] sars,cov [27] receptor,binding [21] paper,nature [21] nature,determined [21] determined,crystal [21] crystal,structure [21] structure,sars [21] cov,spike [21] spike,receptor [21] binding,domain Top Word Pairs in Tweet in G10:
[36] sars,cov [12] covid,19 [9] cov,illnesses [9] illnesses,covid [7] cov,infection [6] education4libs,stuartlea6 [6] stuartlea6,2004 [6] 2004,study [6] study,recommends [6] recommends,chloroquine Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: