The graph represents a network of 1,510 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, 05 June 2022 at 04:55 UTC.
The requested start date was Sunday, 05 June 2022 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 12-day, 2-hour, 48-minute period from Sunday, 22 May 2022 at 00:26 UTC to Friday, 03 June 2022 at 03:14 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 : 1510
Unique Edges : 1159
Edges With Duplicates : 1606
Total Edges : 2765
Number of Edge Types : 5
Tweet : 553
Retweet : 645
MentionsInRetweet : 992
Mentions : 496
Replies to : 79
Self-Loops : 590
Reciprocated Vertex Pair Ratio : 0.0273381294964029
Reciprocated Edge Ratio : 0.0532212885154062
Connected Components : 514
Single-Vertex Connected Components : 277
Maximum Vertices in a Connected Component : 312
Maximum Edges in a Connected Component : 1050
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.339199
Graph Density : 0.000626703356022804
Modularity : 0.545557
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,510 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, 05 June 2022 at 04:55 UTC.
The requested start date was Sunday, 05 June 2022 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 12-day, 2-hour, 48-minute period from Sunday, 22 May 2022 at 00:26 UTC to Friday, 03 June 2022 at 03:14 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:
[692] predictive,analytics [119] predictive,#analytics [116] machine,learning [79] based,predictive [70] ai,predictive [66] predictive,maintenance [55] cloud,based [55] need,know [51] know,mikekaput [51] mikekaput,mktgai Top Word Pairs in Tweet in G1:
[205] predictive,analytics [16] data,analytics [15] learn,more [15] data,ai [14] ai,predictive [14] more,normal [14] normal,problem [14] problem,build [14] build,supply [14] supply,chains Top Word Pairs in Tweet in G2:
[51] need,know [51] know,mikekaput [51] mikekaput,mktgai [45] ai,predictive [44] predictive,#analytics [43] #analytics,marketing [43] marketing,need [43] mktgai,#datascience [40] ipfconline1,ai [38] predictive,maintenance Top Word Pairs in Tweet in G3:
[54] based,predictive [49] predictive,#analytics [48] oracleclouderp,sharing [48] sharing,cloud [48] cloud,based [48] #analytics,scenario [48] scenario,planning [48] planning,#machinelearning [48] #machinelearning,help [40] predictive,analytics Top Word Pairs in Tweet in G5:
[37] predictive,analytics [34] machine,learning [16] 12,vendors [16] vendors,26 [16] 26,criteria [16] criteria,see [16] see,domino [16] domino,named [16] named,leader [16] leader,forrester Top Word Pairs in Tweet in G6:
[19] predictive,analytics [10] meta,google [7] google,sciplay [5] sciplay,pecan [4] google's,chief [4] chief,measurement [4] measurement,strategist [4] strategist,neilhoyne [4] neilhoyne,joined [4] joined,pecan_ai's Top Word Pairs in Tweet in G8:
[17] research,paper [17] paper,extremely [17] extremely,proud [17] proud,haven't [17] haven't,shared [17] shared,medical [17] medical,leave [17] leave,published [16] jkeserue,research [3] human,mobility Top Word Pairs in Tweet in G10:
[6] 13,companies [6] companies,fully [6] fully,executing [6] executing,predictive [6] predictive,supply [6] supply,chain [6] chain,risk [6] risk,management [6] management,program [6] program,organization Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G7:
Top Replied-To in G9:
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: