The graph represents a network of 3,680 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 Thursday, 17 September 2020 at 10:59 UTC.
The requested start date was Thursday, 17 September 2020 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, 23-hour, 2-minute period from Thursday, 03 September 2020 at 00:50 UTC to Wednesday, 16 September 2020 at 23:53 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 : 3680
Unique Edges : 2807
Edges With Duplicates : 3369
Total Edges : 6176
Number of Edge Types : 5
Retweet : 1158
MentionsInRetweet : 1613
Replies to : 811
Mentions : 2129
Tweet : 465
Self-Loops : 513
Reciprocated Vertex Pair Ratio : 0.020440668967348
Reciprocated Edge Ratio : 0.0400624349635796
Connected Components : 784
Single-Vertex Connected Components : 216
Maximum Vertices in a Connected Component : 880
Maximum Edges in a Connected Component : 2363
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 8.792758
Graph Density : 0.00028392639776877
Modularity : 0.624629
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 3,680 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 Thursday, 17 September 2020 at 10:59 UTC.
The requested start date was Thursday, 17 September 2020 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, 23-hour, 2-minute period from Thursday, 03 September 2020 at 00:50 UTC to Wednesday, 16 September 2020 at 23:53 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:
[2435] sars,cov [327] covid,19 [213] cov,sars [156] mers,cov [118] gain,function [116] bill,gates [110] function,research [108] fauci,funded [108] bat,virus [107] chapel,hill Top Word Pairs in Tweet in G1:
[329] sars,cov [41] covid,19 [34] cov,sars [24] mers,cov [15] cov,mers [14] cov,virus [13] respiratory,syndrome [13] coronavirus,sars [12] cov,infection [12] severe,acute Top Word Pairs in Tweet in G2:
[118] sars,cov [65] covid,19 [65] cov,19 [63] niet,meer [62] staatscourant,gisteren [62] gisteren,bekendmaking [62] bekendmaking,covid [62] 19,sars [62] 19,staat [62] staat,niet Top Word Pairs in Tweet in G3:
[113] bill,gates [64] cdc,health [64] health,canada [62] presscoreca,cdc [61] canada,known [61] known,2005 [61] 2005,effective [61] effective,clinically [61] clinically,proven [61] proven,treatment Top Word Pairs in Tweet in G4:
[125] sars,cov [108] gain,function [104] fauci,funded [104] funded,gain [104] function,research [104] research,university [104] university,north [104] north,carolina [104] carolina,chapel [104] chapel,hill Top Word Pairs in Tweet in G5:
[69] sars,cov [16] peterre76976220,kathmarval [16] chaoticsx2,svaxhole [15] boastira,chris_f_carson [15] kayvonpaul,barryjohnreid21 [14] svaxhole,hupperichwerner [13] macbaird13,100dianne [13] cov,sars [12] kathmarval,katlarue7 [12] katlarue7,shared_facts Top Word Pairs in Tweet in G6:
[45] sars,cov [10] covid,19 [8] mers,cov [5] 2019,ncov [5] cov,mers [4] 2004,covid [4] cov,sars [4] coronaviruses,infect [4] infect,animals [4] animals,evolve Top Word Pairs in Tweet in G7:
[95] medida,conociendo [94] gente,critica [94] critica,científicos [94] científicos,ir [94] ir,cambiando [94] cambiando,posiciones [94] posiciones,medida [94] conociendo,acerca [94] acerca,algún [93] nataliavartan,gente Top Word Pairs in Tweet in G8:
[55] sars,cov [9] case,fatality [9] fatality,rate [8] showed,patients [8] recovered,sars [8] long,lasting [7] possess,long [7] lasting,memory [7] memory,cells [7] protein,sars Top Word Pairs in Tweet in G9:
[56] sars,cov [7] cov,sars [6] mers,cov [5] cov,clinically [5] clinically,genetically [5] genetically,shows [5] shows,indication [5] indication,kind [5] kind,'bioweapon' [5] 'bioweapon',military Top Word Pairs in Tweet in G10:
[5] sars,cov [2] research,still [2] still,needs [2] needs,peer [2] peer,reviewed [2] reviewed,submitted [2] submitted,us_fda [2] us_fda,approval [2] approval,ceo [2] ceo,nitric Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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:
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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: