The graph represents a network of 1,572 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, 11 September 2022 at 04:55 UTC.
The requested start date was Sunday, 11 September 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, 23-hour, 9-minute period from Sunday, 28 August 2022 at 00:34 UTC to Saturday, 10 September 2022 at 23:43 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 : 1572
Unique Edges : 1006
Edges With Duplicates : 2148
Total Edges : 3154
Number of Edge Types : 5
Replies to : 74
Mentions : 367
Retweet : 846
MentionsInRetweet : 1009
Tweet : 858
Self-Loops : 877
Reciprocated Vertex Pair Ratio : 0.0245641838351822
Reciprocated Edge Ratio : 0.0479505027068832
Connected Components : 614
Single-Vertex Connected Components : 404
Maximum Vertices in a Connected Component : 363
Maximum Edges in a Connected Component : 1431
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.782096
Graph Density : 0.000523564025442053
Modularity : 0.449192
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 1,572 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, 11 September 2022 at 04:55 UTC.
The requested start date was Sunday, 11 September 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, 23-hour, 9-minute period from Sunday, 28 August 2022 at 00:34 UTC to Saturday, 10 September 2022 at 23:43 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:
[1032] ø,ù [964] ø,ø [960] ù,ø [958] predictive,analytics [195] #iot,#iiot [192] ù,ùˆø [190] ùˆø,ø [190] ø,ùšø [188] ùšø,ù [164] #python,#rstats Top Word Pairs in Tweet in G1:
[320] predictive,analytics [29] data,science [27] data,analytics [27] machine,learning [19] big,data [18] #sports,betting [18] analytics,help [17] learn,more [16] analytics,business [16] data,predictive Top Word Pairs in Tweet in G2:
[257] predictive,analytics [190] #iot,#iiot [164] #python,#rstats [152] #datascience,#ai [131] gp_pulipaka,predictive [124] #ai,#machinelearning [122] #machinelearning,#iot [102] predictive,#analytics [101] #analytics,#bigdata [99] #predictiveanalytics,#python Top Word Pairs in Tweet in G3:
[1032] ø,ù [964] ø,ø [960] ù,ø [192] ù,ùˆø [190] ùˆø,ø [190] ø,ùšø [188] ùšø,ù [140] ù,ù [124] ù,ùš [72] ùšù,ø Top Word Pairs in Tweet in G4:
[55] spatial,data [55] data,science [27] science,mooc [27] mooc,begins [27] begins,october [27] october,œ [27] œ,course [27] course,explores [27] explores,application [27] application,spatial Top Word Pairs in Tweet in G5:
[9] predictive,analytics [8] complete,guide [8] #predictiveanalytics,#bigdata [7] predictive,maintenance [7] #machinelearning,#iot [7] guide,#predictiveanalytics [7] #bigdata,analytics [7] analytics,dzoneinc [7] dzoneinc,inoxoft_inc [7] inoxoft_inc,#ai Top Word Pairs in Tweet in G6:
[15] predictive,analytics [8] frontier,technologies [8] technologies,predictive [8] analytics,artificial [8] artificial,intelligence [8] intelligence,latest [8] latest,trends [8] trends,government [8] crash,course [7] undesa,frontier Top Word Pairs in Tweet in G7:
[10] 13,companies [10] companies,fully [10] fully,executing [10] executing,predictive [10] predictive,supply [10] supply,chain [10] chain,risk [10] risk,management [10] management,program [10] program,organization Top Word Pairs in Tweet in G8:
[21] #data,analytics [21] analytics,approaches [21] happened,descriptive [21] descriptive,analytics [21] analytics,something [21] something,happened [21] happened,diagnostic [20] agriresearchltd,#data [20] approaches,looking [20] looking,happened Top Word Pairs in Tweet in G9:
[7] relying,brainpower [7] brainpower,sponsor [7] sponsor,followandretti [7] followandretti,working [7] working,organize [7] organize,optimize [7] optimize,mountains [7] mountains,data [6] indycaronnbc,relying [6] data,gatâ Top Word Pairs in Tweet in G10:
[17] super,interesting [17] interesting,useful [17] useful,case [17] case,study [17] study,fresenius [17] fresenius,medical [17] medical,care [17] care,aims [17] aims,save [17] save,dialysis Top Replied-To in Entire Graph:
Top Replied-To in G4:
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: