The graph represents a network of 1,644 Twitter users whose tweets in the requested range contained "datascientist", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 21 September 2020 at 16:47 UTC.
The requested start date was Monday, 21 September 2020 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, 2-hour, 23-minute period from Wednesday, 16 September 2020 at 20:51 UTC to Sunday, 20 September 2020 at 23:15 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 : 1644
Unique Edges : 1369
Edges With Duplicates : 14851
Total Edges : 16220
Number of Edge Types : 5
Retweet : 6919
MentionsInRetweet : 8204
Replies to : 36
Tweet : 625
Mentions : 436
Self-Loops : 837
Reciprocated Vertex Pair Ratio : 0.00836614173228347
Reciprocated Edge Ratio : 0.0165934602244998
Connected Components : 116
Single-Vertex Connected Components : 62
Maximum Vertices in a Connected Component : 1402
Maximum Edges in a Connected Component : 15878
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.34432
Graph Density : 0.00151716416915825
Modularity : 0.175062
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 1,644 Twitter users whose tweets in the requested range contained "datascientist", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 21 September 2020 at 16:47 UTC.
The requested start date was Monday, 21 September 2020 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, 2-hour, 23-minute period from Wednesday, 16 September 2020 at 20:51 UTC to Sunday, 20 September 2020 at 23:15 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 : datascientist
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:
[4068] #bigdata,#analytics [3942] #analytics,#datascience [3411] #iot,#iiot [2877] #datascience,#ai [2557] #python,#rstats [2231] #ai,#machinelearning [2055] #machinelearning,#iot [1980] #iiot,#python [1068] #ai,#iot [910] #datascience,#iot Top Word Pairs in Tweet in G1:
[902] #bigdata,#analytics [899] #analytics,#datascience [843] #iot,#iiot [608] #datascience,#ai [520] #python,#rstats [516] #ai,#machinelearning [504] #iiot,#python [480] #machinelearning,#iot [284] #datascience,#iot [240] #iiot,#pytorch Top Word Pairs in Tweet in G2:
[2614] #bigdata,#analytics [2513] #analytics,#datascience [2096] #iot,#iiot [1900] #datascience,#ai [1535] #python,#rstats [1427] #ai,#machinelearning [1316] #machinelearning,#iot [1232] #iiot,#python [638] #ai,#iot [513] #datascience,#iot Top Word Pairs in Tweet in G3:
[270] #bigdata,#ai [264] #ai,#iot [198] #iot,#tech [165] #tech,#data [162] #data,#usa [138] #datascientist,#datascience [123] #uk,#datascientist [119] 10,best [119] #usa,#linux [119] #linux,#uk Top Word Pairs in Tweet in G4:
[225] #bigdata,#analytics [212] #analytics,#datascience [205] #iot,#iiot [167] #datascience,#ai [160] #python,#rstats [128] #ai,#machinelearning [121] #machinelearning,#iot [109] #iiot,#python [58] #iiot,#pytorch [55] #ai,#iot Top Word Pairs in Tweet in G5:
[173] #python,#rstats [125] #rstats,#java [125] #java,#javascript [125] #javascript,#aws [122] #aws,#100daysofcode [95] #bigdata,#analytics [95] #analytics,#datascience [94] #100daysofcode,#reactjs [90] #reactjs,#coding [78] #coding,#cloudcomputing Top Word Pairs in Tweet in G6:
[76] #bigdata,#analytics [75] #analytics,#datascience [60] #iot,#iiot [48] #datascience,#ai [44] learning,ingliguori [42] ingliguori,#infographic [41] #deeplearning,#ai [41] #ai,#bigdata [39] #ai,#machinelearning [39] #machinelearning,#deeplearning Top Word Pairs in Tweet in G7:
[15] data,scientist [7] ricercamy,azienda [7] azienda,informatica [7] informatica,grande [7] grande,espansione [7] espansione,occupa [7] occupa,consulenza [7] consulenza,sviluppo [7] sviluppo,tecnologie [7] tecnologie,piattaforme Top Word Pairs in Tweet in G8:
[31] #bigdata,#analytics [29] #analytics,#datascience [25] #iot,#iiot [20] #datascience,#ai [20] #python,#rstats [16] #iiot,#machinelearning [16] #machinelearning,#datascience [15] #datascience,#bigdata [14] #ai,#machinelearning [13] #bigdata,#r Top Word Pairs in Tweet in G9:
[17] #bigdata,#datascience [16] #neuralnetworks,#fintech [16] #fintech,#bigdata [14] #artificialintelligence,#neuralnetworks [10] good,yourself [10] yourself,worth [10] worth,#artificialintelligence [9] #python,#rstats [9] blackwomeninai,good [9] #datascience,#womenint Top Word Pairs in Tweet in G10:
[25] data,scientists [18] machine,learning [15] 10,statistical [15] statistical,techniques [15] techniques,data [15] scientists,master [15] master,#datascientist [13] machinelearnflx,10 [10] top,machine [10] learning,algorithms Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
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Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: