The graph represents a network of 2,697 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 Monday, 09 November 2020 at 05:21 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, 21-hour, 9-minute period from Sunday, 25 October 2020 at 02:23 UTC to Saturday, 07 November 2020 at 23:32 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 : 2697
Unique Edges : 1771
Edges With Duplicates : 4358
Total Edges : 6129
Number of Edge Types : 5
Retweet : 1823
MentionsInRetweet : 2150
Tweet : 1167
Mentions : 839
Replies to : 150
Self-Loops : 1196
Reciprocated Vertex Pair Ratio : 0.0250855188141391
Reciprocated Edge Ratio : 0.0489432703003337
Connected Components : 799
Single-Vertex Connected Components : 456
Maximum Vertices in a Connected Component : 1013
Maximum Edges in a Connected Component : 3744
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.668065
Graph Density : 0.000370919881305638
Modularity : 0.451625
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 2,697 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 Monday, 09 November 2020 at 05:21 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, 21-hour, 9-minute period from Sunday, 25 October 2020 at 02:23 UTC to Saturday, 07 November 2020 at 23:32 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:
[1816] predictive,analytics [486] machine,learning [213] stpiindia,#ai [205] learning,predictive [196] data,analytics [177] #analytics,#datascience [165] #bigdata,#analytics [161] #iot,#iiot [152] artificial,intelligence [149] driven,predictive Top Word Pairs in Tweet in G1:
[368] predictive,analytics [23] machine,learning [19] data,analytics [17] using,predictive [17] analytics,market [16] analytics,software [15] predictive,prescriptive [15] prescriptive,analytics [15] analytics,predictive [14] predictive,#analytics Top Word Pairs in Tweet in G2:
[160] #analytics,#datascience [151] #bigdata,#analytics [146] #iot,#iiot [124] predictive,analytics [116] #python,#rstats [115] #datascience,#iot [114] #books,#predictiveanalytics [114] #iiot,#python [111] top,10 [111] data,modeling Top Word Pairs in Tweet in G3:
[477] predictive,analytics [373] machine,learning [138] learning,predictive [124] data,analytics [115] artificial,intelligence [102] 2020,2025 [102] 2025,advent [102] advent,machine [98] learning,artificial [95] analytics,market Top Word Pairs in Tweet in G4:
[205] stpiindia,#ai [160] predictive,analytics [143] driven,predictive [143] analytics,revolutionise [143] revolutionise,agri [143] agri,sector [143] sector,delivering [143] delivering,smart [143] smart,intelligence [143] intelligence,stakeholders Top Word Pairs in Tweet in G5:
[33] predictive,maintenance [30] maintenance,using [30] using,#ai [30] #ai,prevent [30] prevent,#machine [30] #machine,outage [30] outage,ronald_vanloon [30] ronald_vanloon,aditya [30] aditya,baru [30] baru,learn Top Word Pairs in Tweet in G6:
[11] predictive,analytics [9] sap,analytics [8] predictive,planning [8] analytics,cloud [7] planning,sap [6] machine,learning [5] automation,machine [5] learning,predictive [5] analytics,ready [5] ready,procurement Top Word Pairs in Tweet in G7:
[40] predictive,analytics [35] data,science [17] machine,learning [8] essential,data [8] science,business [7] learning,predictive [7] covid,19 [6] dr,yanling [6] yanling,zuo [6] public,health Top Word Pairs in Tweet in G8:
[13] predictive,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 [8] #technology,#technews 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:
[25] predictive,analytics [16] interested,predictive [16] analytics,sure [16] sure,start [16] start,watch [16] watch,webinar [16] webinar,un_innovation [14] humdata,interested [10] un_innovation,âž [3] available,models Top Replied-To in Entire Graph:
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Top Replied-To in G5:
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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 G10: