The graph represents a network of 5,424 Twitter users whose recent tweets contained "dataviz OR datavis since:2022-10-10 until:2022-10-17", 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, 17 October 2022 at 12:10 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 49-minute period from Monday, 10 October 2022 at 00:02 UTC to Sunday, 16 October 2022 at 23:52 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 : 5424
Unique Edges : 8526
Edges With Duplicates : 8283
Total Edges : 16809
Number of Edge Types : 5
Retweet : 8416
MentionsInRetweet : 5494
Mentions : 1251
Tweet : 1002
Replies to : 646
Self-Loops : 1163
Reciprocated Vertex Pair Ratio : 0.0201249867598771
Reciprocated Edge Ratio : 0.0394559235801059
Connected Components : 432
Single-Vertex Connected Components : 181
Maximum Vertices in a Connected Component : 4136
Maximum Edges in a Connected Component : 14793
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.589497
Graph Density : 0.000327425197060265
Modularity : 0.506579
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 5,424 Twitter users whose recent tweets contained "dataviz OR datavis since:2022-10-10 until:2022-10-17", 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, 17 October 2022 at 12:10 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 49-minute period from Monday, 10 October 2022 at 00:02 UTC to Sunday, 16 October 2022 at 23:52 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:2022-10-10 until:2022-10-17
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:
[2375] #iot,#iiot [2361] #wordpress,#security [2317] #fintech,#insurtech [2316] #flutter,#html [2298] #insurtech,#ai [2296] #security,#defi [2296] #reactjs,#wordpress [2296] #javascript,#reactjs [2281] #html,#azure [2267] #datavis,#infosec Top Word Pairs in Tweet in G1:
[653] #data,#dataviz [621] #machinelearning,#ml [470] #dataviz,#data [436] #datascience,#data [371] #datascience,#analytics [353] #datamining,#bigdata [312] #datascience,#cienciadedatos [311] #dataanalysis,#analisisdedatos [311] #cienciadedatos,#dataanalysis [299] #dataviz,#machinelearning Top Word Pairs in Tweet in G2:
[247] #data,#dataviz [192] #rstats,#dataviz [181] #machinelearning,#ml [156] #datascience,#data [133] #dataviz,#rstats [124] #analisisdedatos,#cienciadedatos [114] #ggplot2,#dataviz [109] #dataviz,#data [101] #dataanalysis,#analisisdedatos [101] #datascience,#cienciadedatos Top Word Pairs in Tweet in G3:
[2369] #iot,#iiot [2360] #wordpress,#security [2316] #flutter,#html [2316] #fintech,#insurtech [2297] #insurtech,#ai [2295] #reactjs,#wordpress [2295] #security,#defi [2294] #javascript,#reactjs [2281] #html,#azure [2267] #datavis,#infosec Top Word Pairs in Tweet in G4:
[425] non,geographically [425] farms,cover [425] whizz,tomoprater [425] specific,map [425] dataviz,whizz [425] tomoprater,added [425] spot,dataviz [425] area,see [425] see,spot [425] cover,less Top Word Pairs in Tweet in G5:
[103] #dataviz,#python [92] visualize,data [85] please,read [85] help,visualize [85] points,please [85] #iot,#dataviz [85] epa,#la [85] data,gathered [85] analyzed,air [85] quality,data Top Word Pairs in Tweet in G6:
[29] see,more [29] #dataviz,see [28] detail,#dataviz [28] graphic,detail [25] source,#nyc [25] #nyc,#dataviz [15] data,visualization [13] map,source [7] elite,football [7] people,stand Top Word Pairs in Tweet in G7:
[110] #rstats,#dataviz [105] #dataviz,#ggplot2 [92] data,visualizations [86] best,data [86] terence,shin [86] 10,best [86] tdatascience,#rstats [86] shin,tdatascience [86] visualizations,2022 [86] 2022,terence Top Word Pairs in Tweet in G8:
[74] #dataviz,#gistribe [63] climate,graphic [63] week's,climate [63] bivariate,colour [51] water,stress [51] according,wmo [51] looks,water [51] risk,according [51] first,time [51] coverage,#dataviz Top Word Pairs in Tweet in G9:
[89] #rstats,#datascience [86] #datascience,#dataviz [85] #dataviz,#maps [32] full,article [32] #gis,#dataviz [32] #maps,#gis [32] #dataviz,#geospatial [32] #geospatial,#spatial [32] article,#maps [30] #maps,#gischat Top Word Pairs in Tweet in G10:
[42] #iranprotests2022,#dataviz [42] #womanlifefreedom,#iranprotests2022 [42] #mahsaamini,#nikashakrami [42] #nikashakrami,#womanlifefreedom [37] asking,voice [37] protests,iran [37] voice,#mahsaamini [37] 201,people [37] re,asking [37] iranian,people Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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:
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 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: