The graph represents a network of 59 Twitter users whose tweets in the requested range contained "pawcon", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 31 May 2019 at 14:47 UTC.
The requested start date was Friday, 31 May 2019 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 10-hour, 24-minute period from Friday, 17 May 2019 at 01:19 UTC to Thursday, 30 May 2019 at 11:44 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 : 59
Unique Edges : 54
Edges With Duplicates : 54
Total Edges : 108
Number of Edge Types : 3
Tweet : 38
Mentions : 64
Replies to : 6
Self-Loops : 38
Reciprocated Vertex Pair Ratio : 0.0384615384615385
Reciprocated Edge Ratio : 0.0740740740740741
Connected Components : 15
Single-Vertex Connected Components : 5
Maximum Vertices in a Connected Component : 27
Maximum Edges in a Connected Component : 74
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.998819
Graph Density : 0.0157802454704851
Modularity : 0.469479
NodeXL Version : 1.0.1.412
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[32] predictive,analytics [22] analytics,world [12] presentation,predictive [11] anticipation,upcoming [11] upcoming,conference [11] conference,presentation [11] world,business [11] business,vegas [11] vegas,asked [10] #pawcon,#machinelearning Top Word Pairs in Tweet in G1:
[27] predictive,analytics [18] analytics,world [11] anticipation,upcoming [11] upcoming,conference [11] conference,presentation [11] presentation,predictive [11] world,business [11] business,vegas [11] vegas,asked [10] #pawcon,#machinelearning Top Word Pairs in Tweet in G2:
[9] use,dmradiopawlv1915 [9] dmradiopawlv1915,15 [9] 15,discount [6] #pawcon,use [5] conference,vegas [4] premier,machine [4] machine,learning [4] learning,conference [4] world,conference [3] conference,series Top Word Pairs in Tweet in G3:
[9] hotel,room [9] room,block [9] block,party [9] party,floor [9] floor,applications [9] applications,pawcon [9] pawcon,2019 [7] pacanthro,hotel [5] 2019,now [5] now,available Top Word Pairs in Tweet in G4:
[2] gastbeitrag,datentreiber [2] datentreiber,blog [2] tag,pawcon [2] pawcon,#industry40 [2] #industry40,2019 [2] 2019,münchen [2] #roboterjournalismus,spielberichte [2] spielberichte,vortrag [2] vortrag,alex_siebert [2] alex_siebert,retresco Top Word Pairs in Tweet in G9:
[4] predictive,analytics [4] 16,20 [3] 20,vegas [3] analytics,world [3] june,16 [2] predicting,show [2] show,patients [2] patients,promises [2] promises,great [2] great,savings Top Word Pairs in Tweet in G10:
[2] #decisionmgt,#datarobot [2] #datarobot,show [2] show,operationalize [2] operationalize,#analytics [2] #analytics,maximize [2] maximize,business [2] business,value [2] value,#machinelearning [2] #machinelearning,year's [2] year's,#pawcon Top Replied-To in Entire Graph:
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Top Replied-To in G6:
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Top Tweeters in Entire Graph:
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