The graph represents a network of 1,367 Twitter users whose tweets in the requested range contained "predictive analytics", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 18 December 2022 at 05:55 UTC.
The requested start date was Sunday, 18 December 2022 at 01:01 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 13-day, 22-hour, 19-minute period from Sunday, 04 December 2022 at 02:36 UTC to Sunday, 18 December 2022 at 00:56 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 : 1367
Unique Edges : 1027
Edges With Duplicates : 1338
Total Edges : 2365
Number of Edge Types : 5
Tweet : 661
Mentions : 390
Retweet : 511
MentionsInRetweet : 717
Replies to : 86
Self-Loops : 699
Reciprocated Vertex Pair Ratio : 0.0443786982248521
Reciprocated Edge Ratio : 0.084985835694051
Connected Components : 614
Single-Vertex Connected Components : 411
Maximum Vertices in a Connected Component : 276
Maximum Edges in a Connected Component : 912
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.253277
Graph Density : 0.000567122328125519
Modularity : 0.511684
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 1,367 Twitter users whose tweets in the requested range contained "predictive analytics", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 18 December 2022 at 05:55 UTC.
The requested start date was Sunday, 18 December 2022 at 01:01 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 13-day, 22-hour, 19-minute period from Sunday, 04 December 2022 at 02:36 UTC to Sunday, 18 December 2022 at 00:56 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 : 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:
[778] predictive,analytics [104] predictive,maintenance [101] machine,learning [88] based,predictive [71] developing,#machinelearning [71] #digitaltransformation,#cloud [71] model,predictive [71] #machinelearning,model [70] data,analytics [70] ingliguori,#digitaltransformation Top Word Pairs in Tweet in G1:
[373] predictive,analytics [73] based,predictive [42] 14,days [40] machine,learning [40] forecast,based [39] hit,ratio [39] rate,forecast [39] exchange,rate [38] ratio,14 [37] 80,hit Top Word Pairs in Tweet in G2:
[67] predictive,maintenance [64] model,predictive [64] #digitaltransformation,#cloud [64] #machinelearning,model [64] ingliguori,#digitaltransformation [64] developing,#machinelearning [43] kenovy_it,ingliguori [43] maintenance,kenovy_it [40] ingliguori,developing [27] predictive,analytics Top Word Pairs in Tweet in G3:
[20] predictive,analytics [14] predictive,#maintenance [14] #data,rest [14] rest,predictive [12] big,impact [12] himss,top [12] healthcare,big [12] data,making [12] trends,#bigdata [12] #bigdata,healthcare Top Word Pairs in Tweet in G4:
[18] reduce,cycle [16] predictive,analytics [14] cycle,time [14] gt,gt [12] time,manufacturing [11] gt,drhassanrashidi [10] drhassanrashidi,fabriziobustama [8] steps,reduce [8] manufacturing,gt [8] five,steps Top Word Pairs in Tweet in G5:
[23] #bigdata,#analytics [23] #analytics,#datascience [23] #python,#rstats [23] #pytorch,#python [23] #iiot,#pytorch [23] #iot,#iiot [18] predictive,analytics [15] data,mining [15] mining,#predictiveanalytics [15] analytics,data Top Word Pairs in Tweet in G6:
[37] machine,learning [27] predictive,analytics [13] business,rules [13] forecasting,goes [13] combining,machine [13] goes,beyond [13] analytics,combining [13] analytics,forecasting [13] advanced,analytics [13] beyond,predictive Top Word Pairs in Tweet in G7:
[35] excellence,improving [35] announce,partnership [35] proud,announce [35] tghcares,driving [35] patient,care [35] clinical,excellence [35] partnership,tghcares [35] driving,clinical [35] improving,patient [34] palantirtech,proud Top Word Pairs in Tweet in G8:
[14] institutions,support [14] add,value [14] financial,services [14] ways,ai [14] advisors,financial [14] services,institutions [14] value,financial [14] support,ai [14] financial,advisors [14] ai,add Top Word Pairs in Tweet in G9:
[7] predictive,maintenance [6] proves,iot [6] data,analytics [6] savings,predictive [6] higher,product [6] analytics,bring [6] success,using [6] maintenance,higher [6] iot,success [6] using,big Top Word Pairs in Tweet in G10:
[3] potus45,donaldjtrumpjr [3] aaag,kiakiera [3] espn,deionsanders [3] pentagonpressec,espn [3] interpol_hq,aaag [3] americangreedtv,teddyjradio [3] donaldjtrumpjr,ivankatrump [3] kiakiera,potus45 [3] teddyjradio,cubuffsfootball [3] predictive,analytics Top Replied-To in Entire Graph:
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: