The graph represents a network of 6,712 Twitter users whose recent tweets contained "#dataviz", 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 Friday, 30 October 2020 at 11:01 UTC.
The tweets in the network were tweeted over the 9-day, 7-hour, 12-minute period from Wednesday, 21 October 2020 at 02:53 UTC to Friday, 30 October 2020 at 10:05 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 : 6712
Unique Edges : 12590
Edges With Duplicates : 3671
Total Edges : 16261
Number of Edge Types : 5
Retweet : 6734
MentionsInRetweet : 6093
Tweet : 1532
Mentions : 1739
Replies to : 163
Self-Loops : 1627
Reciprocated Vertex Pair Ratio : 0.0221291393345452
Reciprocated Edge Ratio : 0.0433000850537385
Connected Components : 594
Single-Vertex Connected Components : 278
Maximum Vertices in a Connected Component : 5197
Maximum Edges in a Connected Component : 14164
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.668368
Graph Density : 0.000287117782361124
Modularity : 0.681846
NodeXL Version : 1.0.1.441
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=239168
Data Import : The graph represents a network of 6,712 Twitter users whose recent tweets contained "#dataviz", 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 Friday, 30 October 2020 at 11:01 UTC.
The tweets in the network were tweeted over the 9-day, 7-hour, 12-minute period from Wednesday, 21 October 2020 at 02:53 UTC to Friday, 30 October 2020 at 10:05 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
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:
[679] animating,mercator [679] countries,correct [670] decided,updated [670] updated,improved [670] improved,animating [670] mercator,animation [670] animation,simongerman600 [670] simongerman600,tweeted [670] tweeted,original [670] original,transforms Top Word Pairs in Tweet in G1:
[203] #rstats,#dataviz [133] data,visualization [107] #dataviz,#datavisualization [84] chart,types [78] book,#dataviz [78] #dataviz,best [78] best,practices [78] visual,perception [78] wind,turbines [77] favorite,book Top Word Pairs in Tweet in G2:
[665] countries,correct [664] animating,mercator [659] decided,updated [659] updated,improved [659] improved,animating [659] mercator,animation [659] animation,simongerman600 [659] simongerman600,tweeted [659] tweeted,original [659] original,transforms Top Word Pairs in Tweet in G3:
[578] #machinelearning,#deeplearning [392] #ai,#machinelearning [385] #100daysofcode,#womenwhocode [381] #datascience,#dataanalytics [362] #rstats,#dataviz [280] #dataanalytics,#bigdata [270] #deeplearning,#datascience [241] #artificialintelligence,#machinelearning [203] data,science [174] #bigdata,#digital Top Word Pairs in Tweet in G4:
[501] #dataviz,source [395] surveyed,600 [395] 600,people [395] people,holes [395] holes,objects [395] objects,answers [395] answers,perplexing [395] perplexing,#dataviz [35] #sweden,past [35] past,post Top Word Pairs in Tweet in G5:
[22] #website,#analysis [22] #dataviz,#googledatastudio [22] 300,#fiverr [22] #fiverr,#gigs [22] read,#client [22] #client,#reviews [22] #reviews,#questions [19] #dataviz,#datavisualization [17] performing,sector [15] 10,2019 Top Word Pairs in Tweet in G6:
[128] team,effort [123] published,culmination [123] culmination,weeks [123] weeks,long [123] long,ftdata [123] ftdata,team [123] effort,summarising [123] summarising,data [123] data,virus [123] virus,far Top Word Pairs in Tweet in G7:
[148] gif,python [148] python,jupyter [148] jupyter,#dataviz [148] #dataviz,17 [148] 17,400 [148] 400,gb [148] gb,measurements [148] measurements,visualized [148] visualized,17 [148] 17,analysis Top Word Pairs in Tweet in G8:
[166] #maps,#rstats [136] #dataviz,#datascience [109] #datascience,#maps [52] #gdp,#economy [52] #economy,#dataviz [52] #dataviz,#bigdata [50] #bigdata,#datascience [50] check,europe's [50] europe's,poorest [50] poorest,richest Top Word Pairs in Tweet in G9:
[182] corner,#dataviz [182] #dataviz,mluckovichajc Top Word Pairs in Tweet in G10:
[132] #arcgispro,#b3d [90] geological,map [88] map,great [88] great,britain [88] britain,sheet [76] #gis,#geospatial [73] sheet,scotland [73] scotland,england [73] england,north [73] north,national Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G6:
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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 G8:
Top Tweeters in G9:
Top Tweeters in G10: