The graph represents a network of 4,944 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, 15 January 2021 at 01:24 UTC.
The requested start date was Friday, 15 January 2021 at 01:01 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 7-day, 4-hour, 41-minute period from Thursday, 07 January 2021 at 00:37 UTC to Thursday, 14 January 2021 at 05:19 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 : 4944
Unique Edges : 3193
Edges With Duplicates : 12634
Total Edges : 15827
Number of Edge Types : 5
Retweet : 5594
MentionsInRetweet : 7135
Mentions : 1537
Replies to : 194
Tweet : 1367
Self-Loops : 1495
Reciprocated Vertex Pair Ratio : 0.0238599463504165
Reciprocated Edge Ratio : 0.046607832322118
Connected Components : 576
Single-Vertex Connected Components : 287
Maximum Vertices in a Connected Component : 3327
Maximum Edges in a Connected Component : 12928
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.194379
Graph Density : 0.000296748630176897
Modularity : 0.423042
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 4,944 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, 15 January 2021 at 01:24 UTC.
The requested start date was Friday, 15 January 2021 at 01:01 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 7-day, 4-hour, 41-minute period from Thursday, 07 January 2021 at 00:37 UTC to Thursday, 14 January 2021 at 05:19 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:
[271] #ai,#machinelearning [223] #machinelearning,#datascience [201] data,visualization [192] machine,learning [180] data,science [164] timelapse,map [163] #dataviz,#datascience [163] milos_agathon,check [162] covid,19 [158] top,10 Top Word Pairs in Tweet in G1:
[266] #ai,#machinelearning [220] #machinelearning,#datascience [186] machine,learning [169] data,science [151] #bigdata,#analytics [145] #python,#ai [142] #ai,#100daysofcode [142] top,10 [137] #datascience,#python [130] #analytics,#ai Top Word Pairs in Tweet in G2:
[67] meet,speaker [48] outlierconf,meet [47] #outlier2021,#dataviz [33] #dataviz,tickets [31] dataisbeautiful,oc [22] datavizsociety,#dataviz [21] tickets,speakers [19] data,visualizations [19] lightning,talk [18] data,visualisation Top Word Pairs in Tweet in G3:
[12] position,skipers [12] skipers,vendee [12] vendee,globe [12] 01,2020 [12] sp,morte [12] morte,morte#1 [12] morte#1,masculino [12] #mapa,#violencia [12] #violencia,#dadosabertos [12] #dadosabertos,#transparencia Top Word Pairs in Tweet in G4:
[147] timelapse,map [145] milos_agathon,check [140] check,timelapse [138] map,regional [138] regional,unemployment [138] unemployment,europe [138] europe,#unemployment [138] #unemployment,#economy [138] #economy,#europe [138] #europe,#datavisualization Top Word Pairs in Tweet in G5:
[127] #rstats,#dataviz [49] #dataviz,tweets [48] 2020,started [48] started,using [48] using,notion [48] notion,bookmark [48] bookmark,#rstats [48] tweets,database [48] database,come [48] come,#tidytuesday Top Word Pairs in Tweet in G6:
[35] #ddj,#dataviz [18] charts,graphics [15] wanna,prepare [15] prepare,#rstudioglobal [15] #rstudioglobal,catching [15] catching,last [15] last,20 [15] 20,years [15] years,dataviz [15] dataviz,check Top Word Pairs in Tweet in G7:
[112] #arcgispro,#b3d [107] #geology,#gis [107] #gis,#geography [106] made,request [106] request,geological [106] geological,map [106] map,trinidad [106] trinidad,1959 [106] 1959,#arcgispro [106] #b3d,#trinidad Top Word Pairs in Tweet in G8:
[134] #dataviz,source [66] comparison,job [66] job,losses [66] losses,during [66] during,recession [66] recession,recessions [66] recessions,wwii [66] wwii,#dataviz [65] randal_olson,comparison [50] #pandemic,#dataviz Top Word Pairs in Tweet in G9:
[79] j'ai,créé [79] créé,nouvel [79] nouvel,outil [79] outil,visualisation [79] visualisation,données [79] données,d'abattage [79] d'abattage,france [79] france,dispo [79] dispo,ici [79] ici,chiffres Top Word Pairs in Tweet in G10:
[31] food,apartheid [31] apartheid,washington [31] washington,dc [31] dc,#datafam [31] #datafam,dashboard [31] dashboard,shows [31] shows,income [31] income,race [31] race,geography [31] geography,impact Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G10: