The graph represents a network of 4,772 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 3/18/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 19 March 2023 at 04:57 UTC.
The tweets in the network were tweeted over the 2347-day, 3-hour, 54-minute period from Thursday, 13 October 2016 at 19:49 UTC to Saturday, 18 March 2023 at 23:43 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 : 4772
Unique Edges : 3179
Edges With Duplicates : 6638
Total Edges : 9817
Number of Edge Types : 9
Tweet : 2363
Retweet : 1721
MentionsInRetweet : 2422
Mentions : 920
Replies to : 1169
MentionsInReplyTo : 1098
Quote : 67
MentionsInQuoteReply : 8
MentionsInQuote : 49
Self-Loops : 3164
Reciprocated Vertex Pair Ratio : 0.0325581395348837
Reciprocated Edge Ratio : 0.0630630630630631
Connected Components : 1883
Single-Vertex Connected Components : 1361
Maximum Vertices in a Connected Component : 748
Maximum Edges in a Connected Component : 2337
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 7.236998
Graph Density : 0.000175515561589184
Modularity : 0.483338
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,772 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 3/18/2023 5:00:35 PM. The network was obtained from Twitter on Sunday, 19 March 2023 at 04:57 UTC.
The tweets in the network were tweeted over the 2347-day, 3-hour, 54-minute period from Thursday, 13 October 2016 at 19:49 UTC to Saturday, 18 March 2023 at 23:43 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:
[3040] predictive,analytics [357] machine,learning [335] data,analytics [284] analysis,predictive [278] data,analysis [253] ai,powered [241] automates,trading [233] control,over [232] over,assets [232] assets,big Top Word Pairs in Tweet in G1:
[1366] predictive,analytics [208] machine,learning [99] analytics,ml [96] analytics,help [93] ml,driven [91] driven,solutions [89] network,security [89] security,predictive [88] future,network [86] artificial,intelligence Top Word Pairs in Tweet in G2:
[232] obviously,doing [232] gov,control [232] full,gov [232] assets,big [232] redefining,money [232] told,redefining [232] seeking,full [232] money,seeking [232] control,over [232] over,assets Top Word Pairs in Tweet in G3:
[71] predictive,analytics [17] 15,years [17] analytics,follows [17] today,re [17] follows,15 [17] reduce,cycle [17] announcing,latest [17] latest,software [17] time,manufacturing [17] aveva,predictive Top Word Pairs in Tweet in G4:
[172] use,tool [172] tool,crypto [172] designed,provide [172] traders,using [172] provide,easy [172] crypto,traders [172] easy,use [171] #bsc,designed [171] #web3,project [171] using,ai Top Word Pairs in Tweet in G5:
[85] predictive,analytics [84] data,analysis [84] automates,trading [84] analysis,predictive [84] trader,ai [55] artificial,intelligence [55] decision,data [55] check,pinksale [55] pinksale,#traderai [55] trading,decision Top Word Pairs in Tweet in G6:
[161] predictive,analytics [154] trading,decisions [154] data,analysis [154] using,data [154] decisions,using [154] automates,trading [154] project,binance [154] analysis,predictive [154] binance,smart [154] web3,project Top Word Pairs in Tweet in G7:
[91] garygensler,trusts [91] trusts,ai [91] ai,more [91] more,transformative [91] apparently,garygensler [91] more,trusts [91] technology,much [91] trusts,blockchain [91] blockchain,technology [91] transformative,technology Top Word Pairs in Tweet in G8:
[94] predictive,data [94] data,analytics [92] gary,gensler [92] asset,managers [92] digital,asset [91] work,digital [91] use,predictive [91] managers,use [91] asset,firms [90] analytics,work Top Word Pairs in Tweet in G9:
[40] aisoma_ag,#bigdata [40] top,#machinelearning [40] predictions,aisoma_ag [40] #machinelearning,#algorithms [40] #algorithms,predictions [39] kirkdborne,top [39] #bigdata,#predictiveanalytic [36] predictive,analytics [17] data,science [14] #7wdata,#datastrategy Top Word Pairs in Tweet in G10:
[51] #bigdata,#analytics [49] #analytics,#datascience [47] #iot,#iiot [46] #python,#rstats [39] #tensorflow,#java [39] #javascript,#reactjs [39] #rstats,#tensorflow [39] #java,#javascript [38] statistics,#bigdata [38] predictive,statistics Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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:
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: