The graph represents a network of 6,059 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 03 July 2020 at 08:37 UTC.
The requested start date was Friday, 03 July 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 1-day, 14-hour, 26-minute period from Tuesday, 30 June 2020 at 21:51 UTC to Thursday, 02 July 2020 at 12:17 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 : 6059
Unique Edges : 3178
Edges With Duplicates : 7702
Total Edges : 10880
Number of Edge Types : 5
Retweet : 3445
MentionsInRetweet : 4199
Replies to : 780
Mentions : 1559
Tweet : 897
Self-Loops : 923
Reciprocated Vertex Pair Ratio : 0.00757958564931784
Reciprocated Edge Ratio : 0.0150451354062187
Connected Components : 983
Single-Vertex Connected Components : 364
Maximum Vertices in a Connected Component : 2532
Maximum Edges in a Connected Component : 5506
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 6.458155
Graph Density : 0.000162973197801676
Modularity : 0.556888
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 6,059 Twitter users whose tweets in the requested range contained "NCoV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 03 July 2020 at 08:37 UTC.
The requested start date was Friday, 03 July 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 1-day, 14-hour, 26-minute period from Tuesday, 30 June 2020 at 21:51 UTC to Thursday, 02 July 2020 at 12:17 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 : 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:
[563] covid,19 [397] ad5,ncov [296] common,cold [256] learn,more [253] #新型コロナウイルス,感染症情報 [249] ibaraki_kouhou,#新型コロナウイルス [249] conocida,ad5 [249] ncov,desarrollada [249] instituto,biotecnología [248] vacuna,conocida Top Word Pairs in Tweet in G1:
[213] learn,more [206] protect,yourself [200] yourself,others [196] others,#covid19 [178] cases,reported [176] more,million [175] million,#covid19 [175] #covid19,cases [175] reported,40 [175] 40,states Top Word Pairs in Tweet in G2:
[81] covid,19 [39] 2019,ncov [15] common,cold [15] wearing,mask [15] coronavirus,2019 [10] ad5,ncov [10] #covid19,pandemic [10] stop,spread [9] start,#covid19 [9] pandemic,we've Top Word Pairs in Tweet in G3:
[253] #新型コロナウイルス,感染症情報 [249] ibaraki_kouhou,#新型コロナウイルス [179] 感染症情報,7月2日 [179] 7月2日,県内で [179] 県内で,新たに2名の方が [179] 新たに2名の方が,新型コロナウイルスに感染していることが判明しました [179] 新型コロナウイルスに感染していることが判明しました,なお [179] なお,本件について [179] 本件について,濃厚接触者の把握を含めた積極的疫学調査を行っています [179] 濃厚接触者の把握を含めた積極的疫学調査を行っています,詳しくは Top Word Pairs in Tweet in G4:
[239] vacuna,conocida [239] conocida,ad5 [239] ad5,ncov [239] ncov,desarrollada [239] instituto,biotecnología [239] biotecnología,beijing [236] cnnee,vacuna [230] beijing,compañía [195] desarrollada,conjuntamente [195] conjuntamente,instituto Top Word Pairs in Tweet in G5:
[210] cdc,ออกคำแนะนำเร [210] ออกคำแนะนำเร,องการใส [210] องการใส,หน [210] หน,ากากผ [210] ากากผ,า [210] า,ว [210] ว,าน [210] าน,าจะช [210] าจะช,วยลดการระบาดของ [210] วยลดการระบาดของ,coronavirus Top Word Pairs in Tweet in G6:
[22] covid,19 [17] testing,site [16] locate,free [16] free,county [16] county,covid [16] 19,testing [16] site,schedule [16] schedule,appointment [16] appointment,visit [14] pneumonia,flu Top Word Pairs in Tweet in G7:
[7] test,positive [6] common,cold [5] results,mean [5] people,common [5] cold,test [5] positive,covid [5] covid,19 [4] wear,mask [4] realdonaldtrump,please [4] trumpitis1,people Top Word Pairs in Tweet in G8:
[38] datos,#covid19 [38] #covid19,españa [31] deben,usar [31] usar,#mascarillas [31] #mascarillas,niños [31] niños,niñas [31] niñas,obligatorias [31] obligatorias,partir [31] partir,recomendables [30] uso,mascarilla Top Word Pairs in Tweet in G9:
[73] sure,100 [73] 100,describing [73] describing,spain's [73] spain's,plans [73] plans,control [73] control,transmission [73] transmission,transitioning [73] transitioning,community [72] cmyeaton,sure [72] community,mitigati Top Word Pairs in Tweet in G10:
[91] test,positive [91] positive,common [91] common,cold [91] cold,well [91] well,isn [91] isn,special [91] special,straight [91] straight,experts [91] experts,wonder [90] silver_fox9,test Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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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:
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Top Tweeters in G3:
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Top Tweeters in G6:
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Top Tweeters in G10: