The graph represents a network of 2,976 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, 25 October 2020 at 04:20 UTC.
The requested start date was Sunday, 25 October 2020 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, 16-hour, 20-minute period from Sunday, 11 October 2020 at 00:04 UTC to Saturday, 24 October 2020 at 16:25 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 : 2976
Unique Edges : 2096
Edges With Duplicates : 4847
Total Edges : 6943
Number of Edge Types : 5
MentionsInRetweet : 2666
Retweet : 2002
Tweet : 1324
Mentions : 828
Replies to : 123
Self-Loops : 1361
Reciprocated Vertex Pair Ratio : 0.0227422544495715
Reciprocated Edge Ratio : 0.044473090557525
Connected Components : 907
Single-Vertex Connected Components : 594
Maximum Vertices in a Connected Component : 1131
Maximum Edges in a Connected Component : 4239
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.431199
Graph Density : 0.000350478901237915
Modularity : 0.45981
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 2,976 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, 25 October 2020 at 04:20 UTC.
The requested start date was Sunday, 25 October 2020 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, 16-hour, 20-minute period from Sunday, 11 October 2020 at 00:04 UTC to Saturday, 24 October 2020 at 16:25 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:
[1985] predictive,analytics [366] machine,learning [208] data,analytics [200] analytics,predictive [196] gt,gt [192] predictive,modeling [172] predictive,maintenance [170] competitive,advantage [167] analytics,enable [167] algorithms,predictive Top Word Pairs in Tweet in G1:
[378] predictive,analytics [174] analytics,predictive [170] predictive,modeling [169] competitive,advantage [165] advantage,next [165] next,normal [165] business,resiliency [165] resiliency,analytics [159] normal,business [31] machine,learning Top Word Pairs in Tweet in G2:
[265] predictive,analytics [100] sap,analytics [100] analytics,cloud [99] introduction,predictive [99] analytics,sap [98] blackfreeniken,introduction [98] cloud,#bigdataanalytics [98] #bigdataanalytics,#cloud9 [98] #cloud9,#clouds [75] #ai,#machinelearning Top Word Pairs in Tweet in G3:
[163] algorithms,predictive [163] predictive,analytics [163] analytics,enable [163] enable,#fintech [163] #fintech,companies [163] companies,monitor [163] monitor,identify [163] identify,fraudulent [163] fraudulent,transactions [162] #ml,algorithms Top Word Pairs in Tweet in G4:
[189] gt,gt [146] predictive,analytics [112] predictive,maintenance [98] inteliot,fourdotone [98] link,gt [97] uptime,predictive [95] increasing,efficiency [95] efficiency,uptime [93] gt,inteliot [88] maintenance,link Top Word Pairs in Tweet in G5:
[186] predictive,analytics [112] machine,learning [110] data,analytics [96] using,predictive [94] decision,making [93] currently,using [93] analytics,algorithmic [93] algorithmic,decision [93] making,data [81] council,currently Top Word Pairs in Tweet in G6:
[35] predictive,analytics [13] #cloud,#analytics [13] next,gen [13] public,health [12] dcim,reconfigured [12] reconfigured,next [12] gen,tools [12] tools,unlock [12] unlock,power [12] power,cloud Top Word Pairs in Tweet in G7:
[123] predictive,analytics [31] machine,learning [29] notebook,based [29] based,predictive [27] deep,learning [20] analytics,customer [20] customer,experience [19] learning,predictive [19] predictive,#analytics [17] analytics,tensorflow Top Word Pairs in Tweet in G8:
[68] #digitaltransformation,#machinelearning [65] r_demidchuk,complete [50] predictive,analytics [42] complete,infographic [42] infographic,shows [42] shows,variety [42] variety,predictive [42] analytics,use [42] use,cases [42] cases,#digitaltransformation Top Word Pairs in Tweet in G10:
[19] predictive,analytics [14] twitter,followers [14] followers,deliberate [14] deliberate,action [14] action,divide [14] divide,separate [14] separate,democrats [14] democrats,done [14] done,using [14] using,algorithms Top Replied-To in Entire Graph:
Top Replied-To in G3:
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Top Replied-To in G9:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: