The graph represents a network of 822 Twitter users whose tweets in the requested range contained "SARS-NCOV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 12 August 2022 at 10:14 UTC.
The requested start date was Friday, 12 August 2022 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, 10-hour, 44-minute period from Friday, 29 July 2022 at 00:58 UTC to Thursday, 11 August 2022 at 11:42 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 : 822
Unique Edges : 486
Edges With Duplicates : 887
Total Edges : 1373
Number of Edge Types : 5
Replies to : 95
Mentions : 427
Retweet : 371
MentionsInRetweet : 409
Tweet : 71
Self-Loops : 79
Reciprocated Vertex Pair Ratio : 0.0072202166064982
Reciprocated Edge Ratio : 0.014336917562724
Connected Components : 123
Single-Vertex Connected Components : 42
Maximum Vertices in a Connected Component : 182
Maximum Edges in a Connected Component : 382
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.023521
Graph Density : 0.00124025356295065
Modularity : 0.596385
NodeXL Version : 1.0.1.502
Data Import : The graph represents a network of 822 Twitter users whose tweets in the requested range contained "SARS-NCOV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 12 August 2022 at 10:14 UTC.
The requested start date was Friday, 12 August 2022 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, 10-hour, 44-minute period from Friday, 29 July 2022 at 00:58 UTC to Thursday, 11 August 2022 at 11:42 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-NCOV
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:
[220] sars,cov [131] ç,æ [124] 新型コロナウイルス,sars [105] æ,ÿæÿ [91] æ,æ [84] ÿæÿ,ç [79] casos,nuevos [78] informe,diario [78] diario,#covid_19 [78] #covid_19,01 Top Word Pairs in Tweet in G1:
[78] informe,diario [78] diario,#covid_19 [78] #covid_19,01 [78] 01,agosto [78] agosto,286 [78] 286,casos [78] casos,nuevos [78] nuevos,38 [78] 38,888 [78] 888,casos Top Word Pairs in Tweet in G2:
[4] 2020,gt [3] mcfunny,krebiozen [3] jonathanhannah,reacharoundu [3] reacharoundu,andrewlazarus4 [3] alex_on_a14,paramaniac9 [3] paramaniac9,theonew16516042 [3] theonew16516042,expose_the_dog [3] sars,cov [2] swaledalemutton,chimera414 [2] chimera414,tonybaduy Top Word Pairs in Tweet in G3:
[4] sitting_bull_d,55bellechasse [4] 55bellechasse,basphilippe [4] basphilippe,yvespdb [4] yvespdb,alainhoupert [4] alainhoupert,jeanyvescapo [4] jeanyvescapo,tvlcampagnol [4] tvlcampagnol,verity_france [4] verity_france,jgalt485 [3] christ24intern1,vpauline006 [3] vpauline006,sarah13805780 Top Word Pairs in Tweet in G4:
[66] ç,æ [65] æ,ÿæÿ [64] æ,æ [63] ÿæÿ,ç [62] ç,ˆã [62] ˆã,šba [62] šba,75ã [62] 75ã,ba [62] ba,5ã [62] 5ã,æƒ Top Word Pairs in Tweet in G5:
[56] 国立感染研から,感染 [56] 感染,伝播性の増加や抗原性の変化が懸念される [56] 伝播性の増加や抗原性の変化が懸念される,新型コロナウイルス [56] 新型コロナウイルス,sars [56] sars,cov [56] cov,の変異株について [56] の変異株について,第19報 [56] 第19報,ba [56] ba,75 [56] 75,22d Top Word Pairs in Tweet in G6:
[58] 新型コロナウイルス,sars [58] sars,cov [58] cov,の変異株ba [58] の変異株ba,75系統について [58] 75系統について,国立感染症研究所 [58] 国立感染症研究所,2022年7月8日時点 [58] 2022年7月8日時点,インドより6 [58] インドより6,2報告 [58] 2報告,日本ではインド渡航歴者から検疫で6 [58] 日本ではインド渡航歴者から検疫で6,13検出 Top Word Pairs in Tweet in G7:
[31] sars,cov [15] ç,æ [12] covid,19 [10] ãƒ,ム[10] æ,ÿæÿ [9] ãƒ,æ [8] æ,ªã [8] 2022,07 [8] scholars,portal [7] ç,ç Top Word Pairs in Tweet in G8:
[21] lazaruslong13,cdc [21] cdc,use [21] use,respiratory [21] respiratory,fluids [21] fluids,droplets [21] droplets,reference [21] reference,covid [19] inhalation,aerosols [19] aerosols,used [19] used,covid Top Word Pairs in Tweet in G9:
[9] sars,cov [4] nextstrain,collating [4] around,world [3] devisridhar,telfordvillan [3] cov,sequences [2] collating,sequences [2] labs,over [2] over,world [2] world,see [2] vickydenhome,sarah34414765 Top Word Pairs in Tweet in G10:
[5] sars,cov [2] branka0505050,vranes_jelena [2] trpachdronfulja,arsenijevladim1 [2] arsenijevladim1,egox_ego [2] smejemse,antivaxgonic1 [2] nestruchni,kalimer23120938 [2] kalimer23120938,drshamy87 [2] drshamy87,milanovicnenad3 [2] cov,izolovan [2] izolovan,ceo Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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:
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: