The graph represents a network of 1,551 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, 16 October 2022 at 04:55 UTC.
The requested start date was Sunday, 16 October 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 13-day, 16-hour, 5-minute period from Sunday, 02 October 2022 at 01:25 UTC to Saturday, 15 October 2022 at 17:31 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 : 1551
Unique Edges : 1074
Edges With Duplicates : 1944
Total Edges : 3018
Number of Edge Types : 5
Retweet : 769
MentionsInRetweet : 969
Mentions : 504
Tweet : 701
Replies to : 75
Self-Loops : 724
Reciprocated Vertex Pair Ratio : 0.0446009389671361
Reciprocated Edge Ratio : 0.0853932584269663
Connected Components : 549
Single-Vertex Connected Components : 326
Maximum Vertices in a Connected Component : 389
Maximum Edges in a Connected Component : 1449
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.719712
Graph Density : 0.000555312909465277
Modularity : 0.467116
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 1,551 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, 16 October 2022 at 04:55 UTC.
The requested start date was Sunday, 16 October 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 13-day, 16-hour, 5-minute period from Sunday, 02 October 2022 at 01:25 UTC to Saturday, 15 October 2022 at 17:31 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:
[808] predictive,analytics [267] #bigdata,#analytics [253] #analytics,#datascience [224] #iot,#iiot [215] #python,#rstats [189] #iiot,#python [189] #rstats,#tensorflow [188] #datascience,#iot [187] statistics,#bigdata [187] #java,#javascript Top Word Pairs in Tweet in G1:
[279] predictive,analytics [37] ø,ù [32] ù,ø [31] data,analytics [26] ø,ø [20] machine,learning [19] learn,more [18] ù,ù [17] network,analytics [16] analytics,function Top Word Pairs in Tweet in G2:
[236] #bigdata,#analytics [219] #analytics,#datascience [198] #iot,#iiot [191] #python,#rstats [170] #rstats,#tensorflow [170] #iiot,#python [168] #tensorflow,#java [168] statistics,#bigdata [168] #datascience,#iot [168] #java,#javascript Top Word Pairs in Tweet in G3:
[166] predictive,analytics [43] machine,learning [31] data,science [25] data,analytics [22] credit,card [21] #analytics,#datascience [21] predictive,data [19] webinar,predictive [19] fundamentals,machine [19] approval,#creditcardapproval Top Word Pairs in Tweet in G4:
[19] predictive,analytics [14] reduce,cycle [13] guide,#predictiveanalytics [13] #predictiveanalytics,#bigdata [13] cycle,time [13] complete,guide [13] #bigdata,analytics [12] predictive,#analytics [12] time,manufacturing [12] #iot,#iiot Top Word Pairs in Tweet in G7:
[28] predictive,analytics [15] risk,assessment [15] use,predictive [15] ai,risk [15] analytics,forms [15] assessment,shown [15] shown,produce [15] racist,outcomes [15] produce,racist [15] forms,ai Top Word Pairs in Tweet in G9:
[4] analytics,results [4] 22,big [4] grantees,upcoming [4] latest,innovation [4] big,ideas [4] 2021,22 [4] innovation,lab [4] ideas,grantees [4] results,2021 [4] predictive,analytics Top Word Pairs in Tweet in G10:
[22] spatial,data [22] data,science [15] application,spatial [15] science,mooc [15] course,explores [15] explores,application [9] call,register [9] last,call [9] free,week [9] week,course Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: