The graph represents a network of 490 Twitter users whose recent tweets contained "#dataviz (covid OR corona)", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18 000 tweets. The network was obtained from Twitter on Sunday, 12 July 2020 at 16:30 UTC.
The tweets in the network were tweeted over the 8-day, 14-hour, 58-minute period from Saturday, 04 July 2020 at 01:06 UTC to Sunday, 12 July 2020 at 16:05 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 : 490
Unique Edges : 749
Edges With Duplicates : 126
Total Edges : 875
Number of Edge Types : 5
Tweet : 76
Retweet : 355
MentionsInRetweet : 327
Mentions : 104
Replies to : 13
Self-Loops : 82
Reciprocated Vertex Pair Ratio : 0,0178326474622771
Reciprocated Edge Ratio : 0,0350404312668464
Connected Components : 72
Single-Vertex Connected Components : 21
Maximum Vertices in a Connected Component : 201
Maximum Edges in a Connected Component : 366
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3,916064
Graph Density : 0,00309669880222027
Modularity : 0,786214
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 490 Twitter users whose recent tweets contained "#dataviz (covid OR corona)", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18 000 tweets. The network was obtained from Twitter on Sunday, 12 July 2020 at 16:30 UTC.
The tweets in the network were tweeted over the 8-day, 14-hour, 58-minute period from Saturday, 04 July 2020 at 01:06 UTC to Sunday, 12 July 2020 at 16:05 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 : TwitterSearch
Graph Term : #dataviz (covid OR corona)
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[226] covid,19 [80] covid,deaths [79] sobering,#dataviz [79] #dataviz,nytimes [79] nytimes,relative [79] relative,scale [79] scale,covid [79] deaths,brighter [79] brighter,note [79] note,pushes Top Word Pairs in Tweet in G1:
[79] sobering,#dataviz [79] #dataviz,nytimes [79] nytimes,relative [79] relative,scale [79] scale,covid [79] covid,deaths [79] deaths,brighter [79] brighter,note [79] note,pushes [79] pushes,boundaries Top Word Pairs in Tweet in G2:
[66] #covid19,spread [66] spread,throughout [66] throughout,continental [66] continental,#usa [66] #usa,#coronavirus [66] #coronavirus,inclined [66] inclined,visualization [66] visualization,covid [66] covid,19 [66] 19,beautiful Top Word Pairs in Tweet in G3:
[25] african,countries [25] covid,19 [25] development,paolocorti_ [23] worked,surgofoundation [23] surgofoundation,visualize [23] visualize,africa [23] africa,covid [23] 19,community [23] community,vulnerability [23] vulnerability,index Top Word Pairs in Tweet in G4:
[14] recuperados,visita [14] visita,nuestro [14] nuestro,mapa [14] mapa,#datos [14] estado,municipio [12] #datavisualization,#dataviz [11] #dataviz,#datavisualization [9] #méxico,ssalud_mx [9] ssalud_mx,reportó [9] reportó,hoy Top Word Pairs in Tweet in G5:
[25] concurso,covid [25] covid,19 [25] 19,pandemia [25] pandemia,varias [25] varias,realidades [25] realidades,cómo [25] cómo,podemos [25] podemos,mostrar [25] mostrar,desigualdad [25] desigualdad,gráfica Top Word Pairs in Tweet in G6:
[18] high,tech [18] tech,transportation [18] transportation,healthcare [18] healthcare,financial [18] financial,services [18] services,industries [18] industries,world [18] world,seen [18] seen,dramatic [18] dramatic,shifts Top Word Pairs in Tweet in G7:
[17] covid,19 [11] #covid19,#covid19usa [8] #dataviz,#covid19 [7] #ggplot2,#dataviz [7] #dataviz,#rstats [7] #highcharter,highcharts [7] highcharts,#rstats [7] 19,cases [5] #rstats,#dataviz [4] 19,case Top Word Pairs in Tweet in G8:
[17] covid,19 [9] 19,india [9] india,positivity [9] positivity,rate [9] rate,vs [9] vs,growth [9] growth,cases [9] cases,looks [9] looks,bubble [9] bubble,size Top Word Pairs in Tweet in G9:
[13] effetto,#covid19 [13] #covid19,sulle [13] sulle,#startup [13] #startup,24infodata [13] 24infodata,ecosistema [13] ecosistema,italiano [13] italiano,raccontato [13] raccontato,tre [13] tre,grafici [13] grafici,realizzati Top Word Pairs in Tweet in G10:
[3] statliznc,epa [3] epa,amstatnews [3] amstatnews,nc_asa [3] nc_asa,urbaninstitute [3] urbaninstitute,jamilajendayi [3] jamilajendayi,alenastern [3] alenastern,mastercard [3] mastercard,pandemic [3] pandemic,hit [3] hit,low Top Replied-To in Entire Graph:
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 G6:
Top Mentioned in G7:
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: