The graph represents a network of 2,661 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, 08 November 2020 at 05:20 UTC.
The requested start date was Sunday, 08 November 2020 at 01:01 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, 1-hour, 54-minute period from Sunday, 25 October 2020 at 02:23 UTC to Saturday, 07 November 2020 at 04:18 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 : 2661
Unique Edges : 1785
Edges With Duplicates : 4239
Total Edges : 6024
Number of Edge Types : 5
Retweet : 1769
MentionsInRetweet : 2131
Mentions : 832
Tweet : 1146
Replies to : 146
Self-Loops : 1175
Reciprocated Vertex Pair Ratio : 0.0245561012466944
Reciprocated Edge Ratio : 0.0479351032448378
Connected Components : 770
Single-Vertex Connected Components : 440
Maximum Vertices in a Connected Component : 1057
Maximum Edges in a Connected Component : 3762
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.504033
Graph Density : 0.000383145010214375
Modularity : 0.452302
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 2,661 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, 08 November 2020 at 05:20 UTC.
The requested start date was Sunday, 08 November 2020 at 01:01 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, 1-hour, 54-minute period from Sunday, 25 October 2020 at 02:23 UTC to Saturday, 07 November 2020 at 04:18 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:
[1819] predictive,analytics [472] machine,learning [189] data,analytics [188] learning,predictive [174] #bigdata,#analytics [169] #iot,#iiot [162] #analytics,#datascience [153] driven,predictive [153] analytics,revolutionise [153] revolutionise,agri Top Word Pairs in Tweet in G1:
[360] predictive,analytics [22] machine,learning [18] analytics,market [16] analytics,software [16] data,analytics [16] analytics,predictive [15] using,predictive [15] prescriptive,analytics [14] predictive,prescriptive [13] predictive,maintenance Top Word Pairs in Tweet in G2:
[354] predictive,analytics [171] machine,learning [159] #bigdata,#analytics [157] #iot,#iiot [152] #analytics,#datascience [123] #python,#rstats [122] #datascience,#iot [121] #books,#predictiveanalytics [121] #iiot,#python [119] top,10 Top Word Pairs in Tweet in G3:
[149] predictive,analytics [145] driven,predictive [145] analytics,revolutionise [145] revolutionise,agri [145] agri,sector [145] sector,delivering [145] delivering,smart [145] smart,intelligence [145] intelligence,stakeholders [143] #ai,driven Top Word Pairs in Tweet in G4:
[185] machine,learning [141] predictive,analytics [74] learning,predictive [40] artificial,intelligence [34] big,data [34] 2020,2025 [34] 2025,advent [34] advent,machine [34] analytics,work [33] learning,artificial Top Word Pairs in Tweet in G5:
[76] predictive,analytics [35] data,science [33] machine,learning [13] learning,predictive [11] analytics,market [11] covid,19 [10] data,predictive [10] essential,data [10] science,business [8] dr,yanling Top Word Pairs in Tweet in G6:
[15] predictive,analytics [9] sap,analytics [8] #covid19,impact [8] impact,#predictiveanalytics [8] #predictiveanalytics,market [8] market,worth [8] worth,21 [8] 21,billion [8] billion,2025 [8] 2025,#technology Top Word Pairs in Tweet in G7:
[31] learn,more [30] predictive,maintenance [29] maintenance,using [29] using,#ai [29] #ai,prevent [29] prevent,#machine [29] #machine,outage [29] outage,ronald_vanloon [29] ronald_vanloon,aditya [29] aditya,baru Top Word Pairs in Tweet in G8:
[115] predictive,analytics [34] machine,learning [22] analytics,customer [22] customer,experience [17] analytics,python [16] rstudio,named [16] named,strong [16] strong,performer [16] performer,forrester [16] forrester,wave Top Word Pairs in Tweet in G9:
[37] marketing,space [37] space,call [37] call,predictive [37] predictive,analytics [36] ronsteslow,marketing Top Word Pairs in Tweet in G10:
[17] gt,gt [15] predictive,maintenance [11] data,analytics [10] intel,proves [10] proves,iot [10] iot,success [10] success,using [10] using,big [10] big,data [10] analytics,bring Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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: