The graph represents a network of 4,146 Twitter users whose tweets in the requested range contained "dataviz OR datavis", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 10 July 2020 at 00:18 UTC.
The requested start date was Friday, 10 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 5-day, 2-hour, 55-minute period from Saturday, 04 July 2020 at 02:01 UTC to Thursday, 09 July 2020 at 04:56 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 : 4146
Unique Edges : 2818
Edges With Duplicates : 8249
Total Edges : 11067
Number of Edge Types : 5
Retweet : 3638
MentionsInRetweet : 5241
Replies to : 205
Tweet : 1003
Mentions : 980
Self-Loops : 1058
Reciprocated Vertex Pair Ratio : 0.0239553314121037
Reciprocated Edge Ratio : 0.0467897977132806
Connected Components : 496
Single-Vertex Connected Components : 211
Maximum Vertices in a Connected Component : 2469
Maximum Edges in a Connected Component : 8124
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.796709
Graph Density : 0.000330808481964391
Modularity : 0.499129
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 4,146 Twitter users whose tweets in the requested range contained "dataviz OR datavis", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 10 July 2020 at 00:18 UTC.
The requested start date was Friday, 10 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 5-day, 2-hour, 55-minute period from Saturday, 04 July 2020 at 02:01 UTC to Thursday, 09 July 2020 at 04:56 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 : dataviz OR datavis
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:
[264] 1989,2020 [264] 2020,wealth [264] wealth,top [264] top,gone [264] gone,84 [264] 84,trillion [264] trillion,31 [264] 31,49 [264] 49,trillion [264] trillion,wealth Top Word Pairs in Tweet in G1:
[264] 1989,2020 [264] 2020,wealth [264] wealth,top [264] top,gone [264] gone,84 [264] 84,trillion [264] trillion,31 [264] 31,49 [264] 49,trillion [264] trillion,wealth Top Word Pairs in Tweet in G2:
[35] #rstats,#dataviz [24] #datavisualization,#dataviz [24] uncanny,men [23] #dataviz,#datavisualization [23] r4dscommunity,welcomes [23] welcomes,week [23] week,28 [23] 28,#tidytuesday [23] #tidytuesday,exploring [23] exploring,coffee Top Word Pairs in Tweet in G3:
[12] 07,2019 [12] morte#1,masculino [12] #mapa,#violencia [12] #violencia,#dadosabertos [12] #dadosabertos,#transparencia [12] #transparencia,#dataviz [12] #dataviz,#visualizacao [11] data,visualization [11] sp,morte [11] morte,morte#1 Top Word Pairs in Tweet in G4:
[104] gt,gt [49] #iiot,#ioe [39] #ai,#machinelearning [38] #datascience,#bigdata [37] #iot,#iiot [36] #bigdata,#analytics [36] #machinelearning,#datascience [32] #industry40,#ai [29] lovers,paradise [29] paradise,gt Top Word Pairs in Tweet in G5:
[78] jamilahmed_16,coursera [77] #dataviz,#datascientist [71] #webdev,#100daysofcode [67] #opensource,#webdev [66] #newsalert,#opensource [64] #iiot,#ioe [64] #100daysofcode,#301daysofcode [63] #smartcity,model [63] model,mandomando [63] mandomando,clubsignage Top Word Pairs in Tweet in G6:
[68] spread,throughout [68] throughout,continental [63] #covid19,spread [63] continental,#usa [63] #usa,#coronavirus [63] #coronavirus,inclined [63] inclined,visualization [61] watch,#covid19 [60] randal_olson,watch [60] visualization,co Top Word Pairs in Tweet in G7:
[144] sunday,zero [144] zero,carbon [144] carbon,#renewables [144] #renewables,produced [144] produced,79 [144] 79,electricity [144] electricity,german [144] german,public [144] public,grid [144] grid,dataviz Top Word Pairs in Tweet in G8:
[31] data,vis [30] happy,announce [30] vis,book [30] book,club [27] very,happy [27] announce,next [27] next,data [27] club,session [27] session,discuss [27] discuss,laurenfklein's Top Word Pairs in Tweet in G9:
[76] daily,temperature [60] central,england [54] above,20 [40] #climatechange,#dataviz [39] common,1800s [38] warm,part [38] part,year [38] year,england [38] england,getting [38] getting,longer Top Word Pairs in Tweet in G10:
[60] palawan,philippines [47] posted,palawan [47] philippines,several [47] several,requests [47] requests,manila [47] manila,going [47] going,long [47] long,evening [47] evening,sunset [47] sunset,shadows 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 G8:
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: