The graph represents a network of 4,995 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, 03 December 2021 at 01:15 UTC.
The requested start date was Friday, 03 December 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 6-day, 10-hour, 54-minute period from Thursday, 25 November 2021 at 15:52 UTC to Thursday, 02 December 2021 at 02:47 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 : 4995
Unique Edges : 3094
Edges With Duplicates : 13140
Total Edges : 16234
Number of Edge Types : 5
Retweet : 5872
MentionsInRetweet : 7770
Mentions : 1225
Replies to : 151
Tweet : 1216
Self-Loops : 1314
Reciprocated Vertex Pair Ratio : 0.0174496644295302
Reciprocated Edge Ratio : 0.0343007915567282
Connected Components : 428
Single-Vertex Connected Components : 184
Maximum Vertices in a Connected Component : 3920
Maximum Edges in a Connected Component : 14446
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.789054
Graph Density : 0.000303868145277837
Modularity : 0.42162
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 4,995 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, 03 December 2021 at 01:15 UTC.
The requested start date was Friday, 03 December 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 6-day, 10-hour, 54-minute period from Thursday, 25 November 2021 at 15:52 UTC to Thursday, 02 December 2021 at 02:47 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:
[392] climate,scientist [301] animating,mercator [301] mercator,projection [299] neilrkaye,animating [296] projection,countries [296] countries,territories [296] territories,correct [296] correct,size [296] size,shape [296] shape,relation Top Word Pairs in Tweet in G1:
[282] #fintech,#insurtech [262] #datascientists,#analytics [256] #finserv,#insurtech [246] #insurtech,#finserv [240] #analytics,#bigdata [236] #marketing,#neobanks [225] #finserv,#marketing [190] data,science [158] #neobanks,#100daysofcode [157] #fintech,#finserv Top Word Pairs in Tweet in G2:
[78] impressionnante,carte [78] carte,population [78] population,afrique [78] afrique,faite [78] faite,par [78] par,geokaramanis [78] geokaramanis,partir [78] partir,données [78] données,satellitaires [78] satellitaires,note Top Word Pairs in Tweet in G3:
[291] animating,mercator [291] mercator,projection [289] neilrkaye,animating [286] projection,countries [286] countries,territories [286] territories,correct [286] correct,size [286] size,shape [286] shape,relation [286] relation,each Top Word Pairs in Tweet in G4:
[256] go,part [256] part,two [256] two,visualizing [256] visualizing,accumulation [256] accumulation,human [256] human,made [256] made,mass [256] mass,incl [256] incl,#anthropogenicmass [256] #anthropogenicmass,#biomass Top Word Pairs in Tweet in G5:
[54] #gamecharts,#dataviz [42] distribution,cellular [42] cellular,base [42] base,stations [41] stations,germany [41] germany,seems [41] seems,neural [41] neural,network [41] network,expecting [41] expecting,massive Top Word Pairs in Tweet in G6:
[386] climate,scientist [193] scientist,ed_hawkins [193] ed_hawkins,famous [193] famous,visualizing [193] visualizing,global [193] global,heating [193] heating,'warming [193] 'warming,stripes' [193] stripes',meanwhile [193] meanwhile,climate Top Word Pairs in Tweet in G7:
[21] source,#nyc [21] #nyc,#dataviz [13] map,source [12] #dataviz,#datavisualization [11] data,visualization [10] #data,#dataviz [10] #website,#analysis [9] #datavis,#learning [8] over,330 [8] 330,#fiverr Top Word Pairs in Tweet in G8:
[164] spent,lots [164] lots,time [164] time,making [164] making,species [164] species,occurrence [164] occurrence,maps [164] maps,come [164] come,looking [163] westo_fernnerd,spent [163] looking,i' Top Word Pairs in Tweet in G9:
[140] coding,club [138] efficient,beautiful [138] beautiful,data [138] data,synthesis [138] synthesis,taking [138] skills,next [138] next,level [121] club,our_codingclub [120] taking,tidyverse [120] tidyverse,skills Top Word Pairs in Tweet in G10:
[186] billion,tonnes [102] right,manufactured [102] #anthropocene,#dataviz [100] owengaffney,left [93] left,global [93] global,biomass [93] biomass,1120 [93] 1120,billion [93] tonnes,right [93] manufactured,materials Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G9:
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: