The graph represents a network of 832 Twitter users whose recent tweets contained "#dataviz (corona OR covid)", 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 Monday, 27 April 2020 at 10:19 UTC.
The tweets in the network were tweeted over the 7-day, 19-hour, 6-minute period from Sunday, 19 April 2020 at 14:24 UTC to Monday, 27 April 2020 at 09:30 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 : 846
Unique Edges : 1507
Edges With Duplicates : 317
Total Edges : 1824
Number of Edge Types : 5
Mentions : 261
Retweet : 670
MentionsInRetweet : 708
Tweet : 167
Replies to : 18
Self-Loops : 175
Reciprocated Vertex Pair Ratio : 0,0237449118046133
Reciprocated Edge Ratio : 0,046388336646786
Connected Components : 89
Single-Vertex Connected Components : 35
Maximum Vertices in a Connected Component : 625
Maximum Edges in a Connected Component : 1535
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3,697968
Graph Density : 0,00211087330563599
Modularity : 0,731334
NodeXL Version : 1.0.1.431
Data Import : The graph represents a network of 832 Twitter users whose recent tweets contained "#dataviz (corona OR covid)", 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 Monday, 27 April 2020 at 10:19 UTC.
The tweets in the network were tweeted over the 7-day, 19-hour, 6-minute period from Sunday, 19 April 2020 at 14:24 UTC to Monday, 27 April 2020 at 09:30 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 (corona OR covid)
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:
[285] covid,19 [110] reforms,initiatives [110] initiatives,campaigns [84] live,collection [75] campaigns,recognise [75] recognise,better [75] better,support [69] collection,reforms [67] #covid19,response [55] #dataviz,#covid19 Top Word Pairs in Tweet in G1:
[74] covid,19 [13] #dataviz,#coronavirus [12] 19,quel [12] quel,pays [12] pays,européen [12] européen,plan [12] plan,soutien [12] soutien,plus [12] plus,startup [12] startup,friendly Top Word Pairs in Tweet in G2:
[103] reforms,initiatives [103] initiatives,campaigns [80] live,collection [70] campaigns,recognise [70] recognise,better [70] better,support [66] collection,reforms [64] #covid19,response [47] migrants',contribution [47] contribution,#covid19 Top Word Pairs in Tweet in G3:
[27] covid,19 [25] blast,working [25] working,challenging [25] challenging,qgis [25] qgis,map [25] map,showing [25] showing,effect [25] effect,covid [25] 19,aviation [25] aviation,industry Top Word Pairs in Tweet in G4:
[13] covid,19 [5] #covid19,#dataviz [4] animated,#dataviz [4] #dataviz,made [4] made,d3 [4] d3,js [3] data,updated [3] #covid_19,evolution [3] evolution,animated [3] #coronavirusinindia,#covid2019india Top Word Pairs in Tweet in G5:
[16] hoy,el_universal_mx [16] estados,50 [16] 50,casos [13] covid,19 [12] quedó,interactivo [12] interactivo,cual [12] cual,puedes [12] puedes,consultar [12] consultar,casos [12] casos,#covid_19mx Top Word Pairs in Tweet in G6:
[30] simplemente,impresionante [30] impresionante,cerca [30] cerca,90 [30] 90,vuelos [30] vuelos,internacionales [30] internacionales,cancelados [30] cancelados,animación [30] animación,compara [30] compara,tráfico [30] tráfico,aéreo Top Word Pairs in Tweet in G7:
[25] covid,19 [23] dashboard,result [23] result,collaboration [23] collaboration,between [23] between,facebook [23] facebook,data [23] data,good [23] good,covid [23] 19,mobility [23] mobility,data Top Word Pairs in Tweet in G8:
[27] #bigdata,#analytics [16] exponential,effects [16] effects,#socialdistancing [16] #socialdistancing,slow [16] slow,#coronavirus [16] #coronavirus,data [16] data,statistacharts [16] statistacharts,mt [16] mt,mikequindazzi [16] mikequindazzi,#dataanalytics Top Word Pairs in Tweet in G9:
[10] updated,covid [10] covid,shiny [10] shiny,web [10] web,app [10] app,allow [10] allow,filtering [10] filtering,down [10] down,specific [10] specific,state [10] state,data Top Word Pairs in Tweet in G10:
[8] hi,case [8] case,missed [8] missed,last [8] last,#dataviz [8] #dataviz,project [8] project,civio [8] civio,european [8] european,mobility [8] mobility,times [8] times,coronavirus Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G5:
Top Mentioned in G6:
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: