The graph represents a network of 4,301 Twitter users whose recent tweets contained "predictive analytics", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/14/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 15 January 2023 at 05:59 UTC.
The tweets in the network were tweeted over the 3047-day, 1-hour, 36-minute period from Thursday, 11 September 2014 at 21:14 UTC to Saturday, 14 January 2023 at 22:51 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 4301
Unique Edges : 2899
Edges With Duplicates : 6562
Total Edges : 9461
Number of Edge Types : 9
Tweet : 2323
MentionsInReplyTo : 770
Retweet : 1722
MentionsInRetweet : 2525
Mentions : 1051
Replies to : 902
MentionsInQuote : 102
Quote : 60
MentionsInQuoteReply : 6
Self-Loops : 3137
Reciprocated Vertex Pair Ratio : 0.0489675516224189
Reciprocated Edge Ratio : 0.093363329583802
Connected Components : 1861
Single-Vertex Connected Components : 1310
Maximum Vertices in a Connected Component : 978
Maximum Edges in a Connected Component : 3764
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 5.120462
Graph Density : 0.000192275457843768
Modularity : 0.433208
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 4,301 Twitter users whose recent tweets contained "predictive analytics", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 1/14/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 15 January 2023 at 05:59 UTC.
The tweets in the network were tweeted over the 3047-day, 1-hour, 36-minute period from Thursday, 11 September 2014 at 21:14 UTC to Saturday, 14 January 2023 at 22:51 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : predictive analytics
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:
[2979] predictive,analytics [329] data,analytics [325] machine,learning [230] predictive,maintenance [158] big,data [151] #bigdata,#analytics [148] based,predictive [145] data,science [135] #iot,#iiot [135] analytics,healthcare Top Word Pairs in Tweet in G1:
[1274] predictive,analytics [160] machine,learning [130] data,analytics [114] analytics,business [105] data,science [95] using,predictive [78] big,data [67] analytics,ai [64] save,business [54] data,analysis Top Word Pairs in Tweet in G2:
[154] predictive,maintenance [149] predictive,analytics [119] developing,#machinelearning [119] #machinelearning,model [117] model,predictive [106] ingliguori,#digitaltransformation [106] #digitaltransformation,#cloud [66] ingliguori,developing [61] #cloud,#bigdata [61] maintenance,kenovy_it Top Word Pairs in Tweet in G3:
[97] #bigdata,#analytics [96] #analytics,#datascience [96] #python,#rstats [96] #iot,#iiot [90] #tensorflow,#java [90] #rstats,#tensorflow [90] #datascience,#iot [86] #javascript,#reactjs [85] #java,#javascript [84] statistics,#bigdata Top Word Pairs in Tweet in G4:
[94] predictive,analytics [54] analytics,healthcare [35] #bigdata,#fintech [33] #deeplearning,#bigdata [21] #bigdata,#deeplearning [20] mikequindazzi,#ai [20] healthcare,mikequindazzi [20] #ai,#deeplearning [19] #predictive,#analytics [19] worldtrendsinfo,predictive Top Word Pairs in Tweet in G5:
[73] predictive,data [73] data,analytics [72] excelhumor,predictive Top Word Pairs in Tweet in G6:
[65] predictive,analytics [9] player,props [8] network's,artificial [8] artificial,intelligence [8] information,trends [8] predictions,based [8] analytics,predictions [8] data,information [8] perform,predictive [8] analytics,predictive Top Word Pairs in Tweet in G7:
[71] machine,learning [69] predictive,analytics [26] learning,predictive [18] advanced,analytics [14] business,rules [14] forecasting,goes [14] combining,machine [14] rules,artificial [14] goes,beyond [14] analytics,combining Top Word Pairs in Tweet in G8:
[17] predictive,analytics [15] predictive,maintenance [13] applications,advantages [13] maintenance,#industry40 [13] #industry40,applications [13] advantages,#digitaltransformation [12] #digitaltransformation,#machin [12] r_demidchuk,predictive [11] institutions,support [11] ways,ai Top Word Pairs in Tweet in G9:
[61] predictive,analytics [28] preparedness,daily [28] latest,predictive [28] analytics,disaster [28] disaster,preparedness [27] #ai,#machinelearning [20] daily,thanks [8] decisions,before [8] valuable,tool [8] tool,companies Top Word Pairs in Tweet in G10:
[44] address,storm [44] clock,actively [44] work,around [44] cal,oes [44] including,levee [44] levee,break [44] impacts,state [44] storm,impacts [44] around,clock [44] continues,work 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 G7:
Top Replied-To in G9:
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:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: