The graph represents a network of 1,901 Twitter users whose tweets in the requested range contained "kdnuggets", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 24 March 2019 at 13:14 UTC.
The requested start date was Sunday, 24 March 2019 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 10-day, 2-hour, 4-minute period from Wednesday, 13 March 2019 at 21:55 UTC to Sunday, 24 March 2019 at 00:00 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 : 1901
Unique Edges : 3220
Edges With Duplicates : 4222
Total Edges : 7442
Number of Edge Types : 3
Tweet : 1907
Mentions : 5463
Replies to : 72
Self-Loops : 1907
Reciprocated Vertex Pair Ratio : 0.0267501422879909
Reciprocated Edge Ratio : 0.0521064301552106
Connected Components : 228
Single-Vertex Connected Components : 193
Maximum Vertices in a Connected Component : 1591
Maximum Edges in a Connected Component : 6796
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 2.711439
Graph Density : 0.000998920235886929
Modularity : 0.349146
NodeXL Version : 1.0.1.409
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[753] data,science [661] machine,learning [342] free,read [342] read,books [334] learning,data [271] 10,free [261] kdnuggets,10 [253] books,machine [201] read,more [188] big,data Top Word Pairs in Tweet in G1:
[312] data,science [307] machine,learning [245] learning,data [224] kdnuggets,10 [192] free,read [192] read,books [186] books,machine [130] 10,more [121] 10,free [116] kdnuggets,top Top Word Pairs in Tweet in G2:
[138] read,more [129] kdnuggets,read [83] read,full [83] full,article [83] article,here [44] mattmayo13,kdnuggets [42] free,read [42] read,books [42] more,here [40] 10,free Top Word Pairs in Tweet in G3:
[195] data,science [134] machine,learning [77] big,data [74] bigdata,datascience [67] ai,big [62] bigdata,analytics [61] analytics,datascience [58] free,read [58] read,books [54] 10,free Top Word Pairs in Tweet in G4:
[97] data,science [94] machine,learning [75] kdnuggets,data [48] machinelearning,kdnuggets [26] deep,learning [24] data,scientist [23] learning,ai [23] ai,machinelearning [19] learning,data [18] big,data Top Word Pairs in Tweet in G5:
[55] fintech,insurtech [43] fintech,artificialintelligence [42] artificialintelligence,machinelearning [38] machinelearning,kdnuggets [37] good,read [37] spirosmargaris,good [35] read,ai [35] ai,armsrace [35] armsrace,2 [35] 2,0 Top Word Pairs in Tweet in G6:
[41] schmarzo,antoniopescape [41] antoniopescape,apollineadiju [41] mhiesboeck,fgraillot [40] enanglais,mhiesboeck [39] apollineadiju,digitalcloudgal [38] digitalcloudgal,enanglais [26] data,science [25] ipfconline1,ff [25] ff,great [25] great,people Top Word Pairs in Tweet in G7:
[36] fresh,kdnuggets [21] data,science [17] latest,kdnuggets [14] kdnuggets,coffee [14] coffee,break [12] building,nlp [12] nlp,classifiers [12] classifiers,cheaply [12] weak,supervision [12] break,thanks Top Word Pairs in Tweet in G8:
[11] kdnuggets,read [11] data,science [9] read,full [9] full,article [9] article,here [9] read,more [9] 10,free [9] machine,learning [8] free,read [8] read,books Top Word Pairs in Tweet in G9:
[8] datascience,machinelearning [5] analytics,datascience [5] machinelearning,applied [5] applied,trends [5] trends,analysis [5] analysis,top [5] top,5 [5] 3,reasons [5] reasons,automl [5] automl,won Top Word Pairs in Tweet in G10:
[30] 前にもツイートしましたが,モデルはkerasで書いて [30] モデルはkerasで書いて,google [30] google,colabを使って [30] colabを使って,cpu [30] cpu,gt [30] gt,gpu [30] gpu,で確認出来たら [30] で確認出来たら,keras_to_tpu_modelでkerasのモデルをtpu用に変換すれば [30] keras_to_tpu_modelでkerasのモデルをtpu用に変換すれば,google [29] vengineer,前にもツイートしましたが Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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