The graph represents a network of 1,614 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, 16 January 2022 at 06:00 UTC.
The requested start date was Sunday, 16 January 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, 29-minute period from Sunday, 02 January 2022 at 01:47 UTC to Sunday, 16 January 2022 at 00:16 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 : 1614
Unique Edges : 1180
Edges With Duplicates : 1890
Total Edges : 3070
Number of Edge Types : 5
Tweet : 662
Replies to : 109
Mentions : 476
Retweet : 796
MentionsInRetweet : 1027
Self-Loops : 686
Reciprocated Vertex Pair Ratio : 0.0313390313390313
Reciprocated Edge Ratio : 0.0607734806629834
Connected Components : 568
Single-Vertex Connected Components : 336
Maximum Vertices in a Connected Component : 487
Maximum Edges in a Connected Component : 1590
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 6.030168
Graph Density : 0.000556199589610745
Modularity : 0.506729
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 1,614 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, 16 January 2022 at 06:00 UTC.
The requested start date was Sunday, 16 January 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, 29-minute period from Sunday, 02 January 2022 at 01:47 UTC to Sunday, 16 January 2022 at 00:16 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:
[990] predictive,analytics [118] ai,predictive [111] data,analytics [98] analytics,improve [87] discover,ai [87] improve,infrastructure [87] infrastructure,availability [87] availability,#hclswlobp [86] miriamasensi,discover [83] machine,learning Top Word Pairs in Tweet in G1:
[303] predictive,analytics [29] customer,experience [26] impact,customer [25] analytics,impact [23] analytics,contact [22] learn,predictive [21] data,analytics [21] solution,predictive [20] microsoft,proven [20] proven,#azuremachinelearning Top Word Pairs in Tweet in G2:
[49] predictive,analytics [26] predictive,maintenance [23] ai,predictive [18] transfer,learning [16] #datascience,#machinelearning [15] predictive,#analytics [15] #bigdata,#data [15] #data,analysis [15] analysis,sports [15] sports,changing Top Word Pairs in Tweet in G3:
[161] predictive,analytics [79] discover,ai [79] ai,predictive [79] analytics,improve [79] improve,infrastructure [79] infrastructure,availability [79] availability,#hclswlobp [78] miriamasensi,discover [75] #hclswlobp,#nocode [75] #nocode,#javascript Top Word Pairs in Tweet in G4:
[23] machine,learning [22] predictive,analytics [20] data,analytics [16] data,analysis [16] analytics,machine [15] ogbenidipo,data [15] focuses,more [14] learning,predictive [13] analytics,focuses [13] big,#ai Top Word Pairs in Tweet in G5:
[14] predictive,analytics [12] analytics,impact [12] impact,customer [12] customer,experience [8] experience,cmswire [3] experience,brielle__denise [2] cmswire,cmswire [2] cmswire,#dx [2] #dx,#analytics [2] #analytics,#cx Top Word Pairs in Tweet in G6:
[15] predictive,analytics [6] analytics,#ai [5] security,risk [5] risk,management [5] management,#leaders [5] #leaders,world [5] world,relies [5] relies,critical [5] critical,infrastructure [5] infrastructure,proper Top Word Pairs in Tweet in G7:
[49] predictive,analytics [35] artificial,intelligence [10] shift,zero [10] zero,trust [10] trust,evolution [10] evolution,hybrid [10] hybrid,work [10] work,network [10] network,modernization [10] modernization,power Top Word Pairs in Tweet in G8:
[31] data,science [29] the_dabalo,data [28] data,analytics [27] analytics,primarily [27] primarily,concerned [27] concerned,putting [27] putting,historical [27] historical,data [27] data,perspective [27] perspective,whereas Top Word Pairs in Tweet in G9:
[24] back,basics [24] basics,'predictive [24] 'predictive,analytics' [24] analytics',benefit [24] benefit,insurance [24] insurance,current [24] current,use [24] use,cases [24] cases,more [24] more,complex Top Word Pairs in Tweet in G10:
[11] #ai,#ml [10] predictive,analytics [8] machine,learning [7] #ml,#dl [6] predictive,maintenance [5] organizations,starting [5] starting,integrate [5] integrate,ai [5] ai,businesses [5] businesses,making 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 G5:
Top Replied-To in G7:
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:
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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: