The graph represents a network of 1,789 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, 15 May 2022 at 04:55 UTC.
The requested start date was Sunday, 15 May 2022 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 13-day, 21-hour, 31-minute period from Sunday, 01 May 2022 at 00:05 UTC to Saturday, 14 May 2022 at 21:36 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 : 1789
Unique Edges : 1409
Edges With Duplicates : 1943
Total Edges : 3352
Number of Edge Types : 5
Replies to : 97
Mentions : 501
Tweet : 666
Retweet : 834
MentionsInRetweet : 1254
Self-Loops : 696
Reciprocated Vertex Pair Ratio : 0.0287727539635937
Reciprocated Edge Ratio : 0.0559360730593607
Connected Components : 617
Single-Vertex Connected Components : 363
Maximum Vertices in a Connected Component : 380
Maximum Edges in a Connected Component : 1110
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 5.042284
Graph Density : 0.000547717032874276
Modularity : 0.561236
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,789 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, 15 May 2022 at 04:55 UTC.
The requested start date was Sunday, 15 May 2022 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 13-day, 21-hour, 31-minute period from Sunday, 01 May 2022 at 00:05 UTC to Saturday, 14 May 2022 at 21:36 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:
[1051] predictive,analytics [152] machine,learning [137] analytics,tools [118] best,predictive [118] tools,software [117] software,2022 [87] data,analytics [82] time,governance [82] governance,ncbn [82] ncbn,introduced Top Word Pairs in Tweet in G1:
[352] predictive,analytics [31] data,analytics [28] analytics,tools [26] learn,more [23] machine,learning [20] best,predictive [19] tools,software [18] analytics,market [18] software,2022 [18] raven,predictive Top Word Pairs in Tweet in G2:
[140] predictive,analytics [78] analytics,tools [75] best,predictive [75] tools,software [75] software,2022 [72] #machinelearning,#ai [69] 2022,know [69] know,more [69] more,#machinelearning [69] #ai,#python Top Word Pairs in Tweet in G3:
[82] time,governance [82] governance,ncbn [82] ncbn,introduced [82] introduced,last [82] last,term [82] term,#andhrapradesh [82] #andhrapradesh,good [82] good,tracking [82] tracking,crime [82] crime,rate Top Word Pairs in Tweet in G4:
[38] predictive,analytics [13] predictive,#analytics [11] ai,predictive [11] deeplearn007,sallyeaves [11] sallyeaves,xbond49 [11] xbond49,margaretsiegien [11] margaretsiegien,pawlowskimario [11] pawlowskimario,gvalan [11] gvalan,psb_dc [11] psb_dc,spirosmargaris Top Word Pairs in Tweet in G5:
[23] predictive,analytics [10] organizations,starting [10] starting,integrate [10] integrate,ai [10] ai,businesses [10] businesses,making [10] making,use [10] use,machine [10] machine,learning [10] learning,predictive Top Word Pairs in Tweet in G6:
[8] top,predictive [8] tools,compared [5] predictive,analytics [5] analytics,tools [5] trends,supporting [5] supporting,#insurtech [5] #insurtech,growth [5] growth,worldwide [5] worldwide,expected [5] expected,60b Top Word Pairs in Tweet in G7:
[22] predictive,analytics [18] machine,learning [8] artificial,intelligence [7] cfpb,looking [7] looking,ahead [7] ahead,future [7] future,consumer [7] consumer,finance [7] finance,markets [7] markets,increasing Top Word Pairs in Tweet in G9:
[23] predictive,analytics [9] analytics,epas [7] fantastic,session [7] session,predictive [7] epas,morning [7] morning,#sew2022 [7] #sew2022,future [7] future,surgical [7] surgical,assessment [6] cba_98,fantastic Top Word Pairs in Tweet in G10:
[24] make,use [24] use,data [24] data,today [24] today,find [24] find,answers [24] answers,tomorrow [24] tomorrow,learn [24] learn,predictive [23] techdogs_inc,make Top Replied-To in Entire Graph:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G8:
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:
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: