The graph represents a network of 4,296 Twitter users whose recent tweets contained "dataviz OR datavis since:2022-02-21 until:2022-02-28", 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, 28 February 2022 at 17:32 UTC.
The tweets in the network were tweeted over the 6-day, 21-hour, 16-minute period from Monday, 21 February 2022 at 02:42 UTC to Sunday, 27 February 2022 at 23:59 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 : 4296
Unique Edges : 9500
Edges With Duplicates : 29164
Total Edges : 38664
Number of Edge Types : 5
Retweet : 16503
MentionsInRetweet : 17066
Replies to : 2208
Mentions : 1848
Tweet : 1039
Self-Loops : 1335
Reciprocated Vertex Pair Ratio : 0.0288814983371259
Reciprocated Edge Ratio : 0.0561415447431099
Connected Components : 445
Single-Vertex Connected Components : 191
Maximum Vertices in a Connected Component : 3108
Maximum Edges in a Connected Component : 36762
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.617015
Graph Density : 0.000637135988102748
Modularity : 0.250509
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 4,296 Twitter users whose recent tweets contained "dataviz OR datavis since:2022-02-21 until:2022-02-28", 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, 28 February 2022 at 17:32 UTC.
The tweets in the network were tweeted over the 6-day, 21-hour, 16-minute period from Monday, 21 February 2022 at 02:42 UTC to Sunday, 27 February 2022 at 23:59 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:2022-02-21 until:2022-02-28
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:
[10830] #fintech,#insurtech [10243] #iot,#iiot [9977] #mlops,#flutter [9976] #flutter,#html [9921] #html,#azure [9865] #datavis,#infosec [9786] #wordpress,#security [9671] #insurtech,#ai [9660] #infosec,#devops [9647] #javascript,#reactjs Top Word Pairs in Tweet in G1:
[2580] #iot,#iiot [2506] #fintech,#insurtech [2221] #mlops,#flutter [2211] #flutter,#html [2205] #datavis,#infosec [2201] #html,#azure [2176] #wordpress,#security [2148] #infosec,#devops [2139] #insurtech,#ai [2131] #javascript,#reactjs Top Word Pairs in Tweet in G2:
[153] #rstats,#dataviz [96] visualize,data [96] spotify,metrics [96] metrics,coldplay [92] freedom,world [89] analyzed,air [89] air,quality [89] quality,data [89] data,gathered [89] gathered,epa Top Word Pairs in Tweet in G3:
[267] #dataviz,source [213] circle,5000km [213] 5000km,radius [213] radius,centered [213] centered,paris [213] paris,mercator [213] mercator,projection [213] projection,#dataviz [24] estimated,global [24] global,#nuclear Top Word Pairs in Tweet in G4:
[8293] #fintech,#insurtech [7739] #flutter,#html [7731] #mlops,#flutter [7696] #html,#azure [7634] #datavis,#infosec [7617] #iot,#iiot [7585] #wordpress,#security [7510] #insurtech,#ai [7494] #javascript,#reactjs [7488] #infosec,#devops Top Word Pairs in Tweet in G5:
[28] graphic,detail [28] detail,#dataviz [28] #dataviz,see [28] see,more [24] source,#nyc [24] #nyc,#dataviz [14] map,source [11] covid,19 [11] evolución,últimos [10] días,#dataviz Top Word Pairs in Tweet in G6:
[22] listening,doctors [22] doctors,nurses [22] nurses,medical [22] medical,professionals [22] professionals,instead [22] instead,political [22] political,algorithms [22] algorithms,namely [22] namely,facebook [22] facebook,covid Top Word Pairs in Tweet in G7:
[67] espectacular,día [67] día,despejado [67] despejado,península [67] península,ibérica [67] ibérica,amazing [67] amazing,cloud [67] cloud,free [67] free,day [67] day,iberian [67] iberian,peninsula Top Word Pairs in Tweet in G8:
[61] #python,using [56] map,shows [54] using,#matplotlib [54] #matplotlib,#numpy [53] made,#python [49] #dataviz,#data [46] #numpy,#datascience [46] #datascience,#datavisualization [46] #datavisualization,#map [46] #geography,#dataviz Top Word Pairs in Tweet in G9:
[45] #python,#programming [44] #ml,#dataviz [35] #ai,#datascience [35] #programming,#technology [35] #technology,#deeplearning [35] #deeplearning,#coding [35] #coding,#bigdata [35] #bigdata,#computerscience [35] #computerscience,#tech [35] #tech,#data Top Word Pairs in Tweet in G10:
[75] #rstats,#dataviz [70] cuáles,fueron [70] fueron,#sequías [70] #sequías,intensas [70] intensas,mayor [70] mayor,extensión [70] extensión,1961 [70] 1961,2020 [70] 2020,sequía [70] sequía,grave Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
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 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: