The graph represents a network of 4,498 Twitter users whose recent tweets contained "predictive analytics", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/4/2023 5:00:36 PM. The network was obtained from Twitter on Sunday, 05 March 2023 at 05:59 UTC.
The tweets in the network were tweeted over the 2333-day, 3-hour, 51-minute period from Thursday, 13 October 2016 at 19:49 UTC to Saturday, 04 March 2023 at 23:40 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 4498
Unique Edges : 2927
Edges With Duplicates : 6153
Total Edges : 9080
Number of Edge Types : 9
Retweet : 1412
MentionsInRetweet : 1898
Tweet : 2512
Replies to : 1165
MentionsInReplyTo : 980
Mentions : 1006
Quote : 64
MentionsInQuote : 35
MentionsInQuoteReply : 8
Self-Loops : 3445
Reciprocated Vertex Pair Ratio : 0.0425531914893617
Reciprocated Edge Ratio : 0.0816326530612245
Connected Components : 2055
Single-Vertex Connected Components : 1448
Maximum Vertices in a Connected Component : 734
Maximum Edges in a Connected Component : 2303
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 7.418417
Graph Density : 0.000164726190168971
Modularity : 0.452475
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,498 Twitter users whose recent tweets contained "predictive analytics", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/4/2023 5:00:36 PM. The network was obtained from Twitter on Sunday, 05 March 2023 at 05:59 UTC.
The tweets in the network were tweeted over the 2333-day, 3-hour, 51-minute period from Thursday, 13 October 2016 at 19:49 UTC to Saturday, 04 March 2023 at 23:40 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[3388] predictive,analytics [374] machine,learning [312] data,analytics [211] analytics,ai [195] use,predictive [160] analytics,help [144] predictive,data [144] learn,more [140] based,predictive [129] analytics,ml Top Word Pairs in Tweet in G1:
[1590] predictive,analytics [214] machine,learning [114] analytics,help [95] analytics,ml [94] learn,more [93] data,analytics [92] artificial,intelligence [92] analytics,ai [91] ml,driven [89] driven,solutions Top Word Pairs in Tweet in G2:
[107] predictive,analytics [15] future,insights [15] cioonline,#bigdata [15] #predictiveanalytics,transforming [15] insights,cioonline [15] aveva,predictive [15] transforming,#data [15] #data,future [14] crucial,role [14] machine,learning Top Word Pairs in Tweet in G3:
[93] predictive,data [93] data,analytics [91] asset,managers [91] digital,asset [90] gary,gensler [90] work,digital [90] use,predictive [90] managers,use [90] asset,firms [89] analytics,work Top Word Pairs in Tweet in G4:
[79] predictive,analytics [64] team,developed [61] analytics,ai [61] ai,ml [58] ml,models [57] uses,predictive [57] platform,uses [55] developed,revolutionary [55] revolutionary,platform [39] financial,market Top Word Pairs in Tweet in G5:
[40] predictive,analytics [19] data,analytics [12] researcher,domain [12] predictive,process [12] vacancy,phd [12] domain,predictive [12] process,mining [12] phd,researcher [12] financial,market [12] mining,financial Top Word Pairs in Tweet in G6:
[46] predictive,analytics [41] #ai,#datascience [40] find,latest [40] analytics,sensor [40] news,predictive [40] sensor,data [40] latest,news [40] data,daily [39] aisoma_ag,#bigdata [39] #algorithms,predictions Top Word Pairs in Tweet in G7:
[34] predictive,analytics [21] predictive,maintenance [21] #7wdata,#datastrategy [12] uptime,predictive [12] inteliot,fourdotone [12] efficiency,uptime [12] increasing,efficiency [12] maintenance,inteliot [11] fourdotone,antgrasso [10] analytics,diagnosis Top Word Pairs in Tweet in G8:
[44] #salestech,#news [43] #sales,#b2bsales [43] #news,#sales [11] predictive,analytics [10] architecture,#csma [10] defensive,posture [10] mesh,architecture [10] better,defensive [10] cybersecurity,mesh [10] #csma,creates Top Word Pairs in Tweet in G9:
[57] predictive,analytics [20] analyze,data [17] customer,segmentation [17] #7wdata,#datastrategy [16] #seo,optimizing [16] #datascience,used [16] targeting,#seo [16] #digitalmarketing,customer [16] optimize,targeting [16] optimizing,budgets Top Word Pairs in Tweet in G10:
[63] predictive,analytics [21] preparedness,daily [21] latest,predictive [21] analytics,disaster [21] disaster,preparedness [20] #ai,#machinelearning [16] daily,thanks [10] resiliency,face [10] helps,improve [10] technology,becoming Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G3:
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Top Tweeters in G10: