The graph represents a network of 2,444 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, 11 April 2021 at 04:59 UTC.
The requested start date was Sunday, 11 April 2021 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, 4-hour, 8-minute period from Sunday, 28 March 2021 at 00:33 UTC to Saturday, 10 April 2021 at 04:41 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 : 2444
Unique Edges : 1728
Edges With Duplicates : 5194
Total Edges : 6922
Number of Edge Types : 5
Retweet : 2354
MentionsInRetweet : 2714
Mentions : 805
Tweet : 903
Replies to : 146
Self-Loops : 944
Reciprocated Vertex Pair Ratio : 0.0203160270880361
Reciprocated Edge Ratio : 0.0398230088495575
Connected Components : 646
Single-Vertex Connected Components : 378
Maximum Vertices in a Connected Component : 1003
Maximum Edges in a Connected Component : 4849
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 5.08142
Graph Density : 0.000454218706977349
Modularity : 0.395875
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 2,444 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, 11 April 2021 at 04:59 UTC.
The requested start date was Sunday, 11 April 2021 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, 4-hour, 8-minute period from Sunday, 28 March 2021 at 00:33 UTC to Saturday, 10 April 2021 at 04:41 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:
[1692] predictive,analytics [647] artificial,intelligence [621] machine,learning [443] customer,experiences [441] guardian,atidot [441] atidot,partner [441] partner,create [441] create,insurance [441] insurance,models [441] models,customer Top Word Pairs in Tweet in G1:
[286] predictive,analytics [27] predictive,#analytics [22] machine,learning [20] learn,more [18] uses,predictive [16] customer,experience [16] north,york [16] york,general [16] general,hospital [16] hospital,uses Top Word Pairs in Tweet in G2:
[538] predictive,analytics [526] artificial,intelligence [473] machine,learning [439] guardian,atidot [439] atidot,partner [439] partner,create [439] create,insurance [439] insurance,models [439] models,customer [439] customer,experiences Top Word Pairs in Tweet in G3:
[78] predictive,analytics [70] machine,learning [67] dao_duck,rocketvault_ [41] analytics,machine [37] advanced,predictive [35] rocket,vault [26] learning,predictive [26] powered,advanced [24] analytics,generate [24] smart,vault Top Word Pairs in Tweet in G4:
[84] howleyreporter,mainstream [56] predictive,analytics [54] mainstream,media [54] media,look [54] look,predictive [54] analytics,aka [54] aka,futurecrime [54] futurecrime,tech [54] tech,used [54] used,cps Top Word Pairs in Tweet in G5:
[103] predictive,analytics [102] artificial,intelligence [45] intelligence,revolutionizing [45] revolutionizing,banking [45] banking,predictive [19] intelligence,predictive [15] machine,learning [14] dave,waters [13] data,analytics [11] big,data Top Word Pairs in Tweet in G6:
[32] life,touched [32] touched,welfare [32] welfare,state [32] state,council [32] council,engaging [32] engaging,secretive [32] secretive,data [32] data,profiling [32] profiling,predictive [31] predictive,analytics Top Word Pairs in Tweet in G7:
[11] #predictiveanalytics,powering [11] powering,#insurance [11] #insurance,comparison [11] comparison,marketing [11] marketing,#ai [11] #ai,#insurtech [11] #insurtech,mvollmer1 [10] globaliqx,#predictiveanalytics [10] mvollmer1,fogle_shan [9] #ai,emerges Top Word Pairs in Tweet in G8:
[42] best,way [42] way,earn [42] earn,#passiveincome [42] #passiveincome,crypto [42] crypto,right [42] right,rvf [42] rvf,found [42] found,another [42] another,potential [42] potential,project Top Word Pairs in Tweet in G9:
[2] ms_hotmess_,ryanward76 [2] ryanward76,spellmakerjacey [2] spellmakerjacey,chrissy_8675309 [2] chrissy_8675309,elizabethbrico [2] elizabethbrico,lelenapeacock [2] lelenapeacock,billkinkle [2] billkinkle,patrickdoyle_35 Top Word Pairs in Tweet in G10:
[25] survey,based [25] based,systems [23] predictive,analytics [13] future,customer [13] customer,experience [13] experience,survey [13] systems,four [13] four,major [13] major,flaws [13] flaws,make Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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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:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: