The graph represents a network of 3,839 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, 10 September 2021 at 00:12 UTC.
The requested start date was Friday, 10 September 2021 at 00:01 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 4-day, 4-hour, 8-minute period from Friday, 03 September 2021 at 22:14 UTC to Wednesday, 08 September 2021 at 02:22 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 : 3839
Unique Edges : 1617
Edges With Duplicates : 14275
Total Edges : 15892
Number of Edge Types : 5
Retweet : 6499
MentionsInRetweet : 7772
Tweet : 790
Mentions : 721
Replies to : 110
Self-Loops : 853
Reciprocated Vertex Pair Ratio : 0.0134715025906736
Reciprocated Edge Ratio : 0.0265848670756646
Connected Components : 279
Single-Vertex Connected Components : 117
Maximum Vertices in a Connected Component : 3145
Maximum Edges in a Connected Component : 14637
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.260157
Graph Density : 0.000398260305596236
Modularity : 0.327148
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 3,839 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, 10 September 2021 at 00:12 UTC.
The requested start date was Friday, 10 September 2021 at 00:01 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 4-day, 4-hour, 8-minute period from Friday, 03 September 2021 at 22:14 UTC to Wednesday, 08 September 2021 at 02:22 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:
[1767] #datascientists,#analytics [1547] #analytics,#bigdata [1380] #data,#datascientists [1334] #bigdata,#ai [1252] #ai,#python [1095] #programming,#database [1064] #database,#data [1026] #python,#datascience [620] #data,#datascience [575] #datascience,#ai Top Word Pairs in Tweet in G1:
[1542] #datascientists,#analytics [1331] #analytics,#bigdata [1194] #data,#datascientists [1121] #bigdata,#ai [1062] #ai,#python [930] #programming,#database [900] #database,#data [845] #python,#datascience [590] #data,#datascience [545] #datascience,#ai Top Word Pairs in Tweet in G2:
[488] river,map [488] map,africa [488] africa,#mapviz [488] #mapviz,#dataviz [487] mathiasleroy_,river [2] 27,billion [2] billion,vaccine [2] vaccine,pharma's [2] pharma's,normal [2] normal,datawrapper Top Word Pairs in Tweet in G3:
[185] cuándo,hubo [185] hubo,sequías [185] sequías,españa [185] españa,peninsular [185] peninsular,islas [185] islas,baleares [185] baleares,1961 [185] 1961,2020 [185] 2020,#rstats [185] #rstats,#rspatial Top Word Pairs in Tweet in G4:
[225] #dataviz,source [216] randal_olson,river [146] river,basins [146] basins,#africa [146] #africa,#dataviz [73] river,basin [73] basin,map [56] map,contiguous [56] contiguous,#usa [56] #usa,#dataviz Top Word Pairs in Tweet in G5:
[34] baby,#dataviz [34] #dataviz,choices [34] choices,appreciation [34] appreciation,thread [34] thread,found [34] found,perusing [34] perusing,datawrapper's [34] datawrapper's,amazing [34] amazing,data [34] data,vis Top Word Pairs in Tweet in G6:
[202] #datascientists,#analytics [197] #analytics,#bigdata [195] #bigdata,#ai [174] #ai,#python [169] #data,#datascientists [167] #python,#datascience [152] #programming,#database [151] #database,#data [149] #datascience,#tech [148] #tech,#iot Top Word Pairs in Tweet in G7:
[141] rainbow,color [141] color,map [141] map,distorts [141] distorts,misleads [141] misleads,research [141] research,hydrology [141] hydrology,guidance [141] guidance,better [141] better,visualizations [141] visualizations,science Top Word Pairs in Tweet in G8:
[16] graphic,detail [16] detail,#dataviz [16] #dataviz,see [16] see,more [15] source,#nyc [15] #nyc,#dataviz [10] #dataviz,#googledatastudio [7] searching,#freelancer [7] #freelancer,#upwork [7] #upwork,#dataviz Top Word Pairs in Tweet in G9:
[100] good,way [100] way,#dataviz [100] #dataviz,cases [100] cases,daily [100] daily,state [100] state,statnews [100] statnews,jaspar [99] erictopol,good [8] impressive,data [8] data,visualization Top Word Pairs in Tweet in G10:
[68] innovative,projections [68] projections,20th [68] 20th,century [68] century,thing [68] thing,showing [68] showing,route [68] route,magellan [68] magellan,around [68] around,world [68] world,1702 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G5:
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 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: