The graph represents a network of 7,021 Twitter users whose recent tweets contained "dataviz OR datavis since:2022-09-19 until:2022-09-26", 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, 26 September 2022 at 12:01 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 49-minute period from Monday, 19 September 2022 at 00:06 UTC to Sunday, 25 September 2022 at 23:55 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 : 7021
Unique Edges : 11796
Edges With Duplicates : 13018
Total Edges : 24814
Number of Edge Types : 5
Retweet : 12425
MentionsInRetweet : 9016
Replies to : 546
Mentions : 1772
Tweet : 1055
Self-Loops : 1237
Reciprocated Vertex Pair Ratio : 0.0245530746977227
Reciprocated Edge Ratio : 0.0479293368085723
Connected Components : 426
Single-Vertex Connected Components : 173
Maximum Vertices in a Connected Component : 5770
Maximum Edges in a Connected Component : 22946
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 4.127565
Graph Density : 0.000280233779735275
Modularity : 0.474441
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 7,021 Twitter users whose recent tweets contained "dataviz OR datavis since:2022-09-19 until:2022-09-26", 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, 26 September 2022 at 12:01 UTC.
The tweets in the network were tweeted over the 6-day, 23-hour, 49-minute period from Monday, 19 September 2022 at 00:06 UTC to Sunday, 25 September 2022 at 23:55 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:2022-09-19 until:2022-09-26
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:
[3363] #javascript,#reactjs [3305] #iot,#iiot [3280] #fintech,#insurtech [3277] #datavis,#infosec [3034] #flutter,#html [2989] #html,#azure [2987] #wordpress,#security [2984] #insurtech,#ai [2974] #reactjs,#wordpress [2956] #security,#defi Top Word Pairs in Tweet in G1:
[1858] #data,#dataviz [1481] #datascience,#analytics [1369] #dataviz,#rstats [1347] #analytics,#stats [1301] #rstats,#datascience [1138] #datavisualization,#statistics [1096] #stats,#datavisualization [950] #statistics,#dataanalytics [757] #ml,#iot [742] libro,gratuito Top Word Pairs in Tweet in G2:
[3359] #javascript,#reactjs [3299] #iot,#iiot [3277] #fintech,#insurtech [3273] #datavis,#infosec [3031] #flutter,#html [2986] #html,#azure [2984] #wordpress,#security [2981] #insurtech,#ai [2971] #reactjs,#wordpress [2953] #security,#defi Top Word Pairs in Tweet in G3:
[726] #dataviz,#rstats [721] #rstats,#datascience [669] happy,share [669] share,article [669] article,linear [669] linear,regression [669] regression,#machinelearning [669] #machinelearning,maybe [669] maybe,important [669] important,model Top Word Pairs in Tweet in G4:
[109] #rstats,#dataviz [73] #dataviz,#rstats [66] #rstats,#datascience [48] wastewater,treatment [45] week,38 [41] #data,#dataviz [40] data,visualization [37] #datascience,#analytics [36] #analytics,#stats [36] #datavisualization,#statistics Top Word Pairs in Tweet in G5:
[386] population,density [386] density,around [386] around,world [386] world,amazing [386] amazing,#data [386] #data,visualization [386] visualization,tyler [386] tyler,morgan [386] morgan,wall [386] wall,#analytics Top Word Pairs in Tweet in G6:
[394] #rstats,#datascience [387] #datascience,#dataviz [387] #dataviz,#maps [183] mapped,people [183] people,employed [183] employed,science [183] science,tech [183] tech,europe [183] europe,#science [183] #science,#tech Top Word Pairs in Tweet in G7:
[116] #datavisualization,#dataviz [106] open,source [104] source,alert [104] examples,templates [104] templates,svelte [104] svelte,common [104] common,graphics [104] graphics,scenarios [104] scenarios,d3 [104] d3,svelte Top Word Pairs in Tweet in G8:
[81] visualize,data [76] #dataviz,#python [71] data,points [69] analyzed,air [69] air,quality [69] quality,data [69] data,gathered [69] gathered,epa [69] epa,#la [69] #la,county Top Word Pairs in Tweet in G9:
[29] see,more [28] graphic,detail [28] detail,#dataviz [28] #dataviz,see [28] source,#nyc [28] #nyc,#dataviz [13] map,source [10] covid,19 [9] #dataviz,#datavisualization [9] #data,#dataviz Top Word Pairs in Tweet in G10:
[70] creado,#infografía [70] #infografía,animada [70] animada,cuántos [70] cuántos,días [70] días,julio [70] julio,agosto [70] agosto,superado [70] superado,cierta [70] cierta,temperatura [70] temperatura,umbral Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: