The graph represents a network of 5,548 Twitter users whose recent tweets contained "dataviz OR datavis since:2021-11-29 until:2021-12-06", 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, 06 December 2021 at 12:24 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 33-minute period from Monday, 29 November 2021 at 00:02 UTC to Sunday, 05 December 2021 at 23:36 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 : 5548
Unique Edges : 10122
Edges With Duplicates : 5293
Total Edges : 15415
Number of Edge Types : 5
Retweet : 6642
MentionsInRetweet : 5882
Tweet : 1349
Replies to : 193
Mentions : 1349
Self-Loops : 1435
Reciprocated Vertex Pair Ratio : 0.0189401007650681
Reciprocated Edge Ratio : 0.0371760827763025
Connected Components : 460
Single-Vertex Connected Components : 208
Maximum Vertices in a Connected Component : 4352
Maximum Edges in a Connected Component : 13801
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.376045
Graph Density : 0.000354868776213855
Modularity : 0.598731
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 5,548 Twitter users whose recent tweets contained "dataviz OR datavis since:2021-11-29 until:2021-12-06", 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, 06 December 2021 at 12:24 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 33-minute period from Monday, 29 November 2021 at 00:02 UTC to Sunday, 05 December 2021 at 23:36 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 OR datavis since:2021-11-29 until:2021-12-06
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:
[905] #tensorflow,#coding [861] #javascript,#tensorflow [815] #rstats,#flutter [799] #datavis,#modelops [782] animating,mercator [780] mercator,projection [766] correct,size [757] size,shape [750] #dataviz,#30daymapchallenge [748] projection,countries Top Word Pairs in Tweet in G1:
[770] animating,mercator [768] mercator,projection [753] correct,size [745] size,shape [736] projection,countries [736] countries,territories [736] territories,correct [736] shape,relation [736] relation,each [736] each,#dataviz Top Word Pairs in Tweet in G2:
[897] #tensorflow,#coding [853] #javascript,#tensorflow [807] #rstats,#flutter [790] #datavis,#modelops [733] #fintech,#insurtech [720] #insurtech,#finserv [701] #finserv,#marketing [551] #neobanks,#100daysofcode [522] #flutter,#javascript [520] #coding,#python Top Word Pairs in Tweet in G3:
[96] #rstats,#datascience [94] #rstats,#dataviz [88] efficient,beautiful [88] beautiful,data [88] data,synthesis [88] synthesis,taking [88] skills,next [88] next,level [88] coding,club [88] club,our_codingclub Top Word Pairs in Tweet in G4:
[342] #datavisualization,#visualjournalism [340] go,part [340] part,two [340] two,visualizing [340] visualizing,accumulation [340] accumulation,human [340] human,made [340] made,mass [340] mass,incl [340] incl,#anthropogenicmass Top Word Pairs in Tweet in G5:
[44] dataviz,books [41] going,update [41] update,dataviz [41] books,everyone [41] everyone,read [41] read,list [41] list,recommends [41] recommends,books [41] books,mention [41] mention,datavizsociety Top Word Pairs in Tweet in G6:
[188] bees,practice [188] practice,social [188] social,distancing [188] distancing,hive [188] hive,infected [188] infected,mites [188] mites,#dataviz [188] #dataviz,ainsliejstone [18] neural,networks [17] still,exploring Top Word Pairs in Tweet in G7:
[26] source,#nyc [26] #nyc,#dataviz [13] #data,#dataviz [11] #datavis,#learning [10] data,visualization [10] map,source [9] types,scaling [9] scaling,data [8] #artificialintelligence,#datavis [8] #datavis,#deeplearning Top Word Pairs in Tweet in G8:
[102] open,street [77] bars,cafes [77] cafes,pubs [77] pubs,biergartens [77] street,map [76] drink,europe [76] europe,bars [76] biergartens,found [76] found,open [76] map,visualized Top Word Pairs in Tweet in G9:
[50] #30daymapchallenge,day [47] #dataviz,#geospatial [45] #gis,#dataviz [41] #maps,#gis [38] full,article [38] article,#maps [38] #geospatial,#spatial [38] earth,flat [36] day,28 [32] report,#gistribe Top Word Pairs in Tweet in G10:
[79] #rstats,#dataviz [69] podía,faltar [69] faltar,mostraros [69] mostraros,anomalías [69] anomalías,horas [69] horas,sol [69] sol,mes [69] mes,noviembre [69] noviembre,83 [69] 83,península Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: