The graph represents a network of 94 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, 26 April 2019 at 14:34 UTC.
The requested start date was Friday, 26 April 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, 7-minute period from Friday, 12 April 2019 at 11:34 UTC to Thursday, 25 April 2019 at 21:42 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 : 94
Unique Edges : 113
Edges With Duplicates : 47
Total Edges : 160
Number of Edge Types : 3
Mentions : 131
Replies to : 1
Tweet : 28
Self-Loops : 28
Reciprocated Vertex Pair Ratio : 0.0263157894736842
Reciprocated Edge Ratio : 0.0512820512820513
Connected Components : 11
Single-Vertex Connected Components : 4
Maximum Vertices in a Connected Component : 67
Maximum Edges in a Connected Component : 125
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.064348
Graph Density : 0.0133836650652025
Modularity : 0.594746
NodeXL Version : 1.0.1.411
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[36] predictive,analytics [22] analytics,world [17] industry,4 [17] 4,0 [16] world,industry [14] dr,data [14] #doctordatashow,#machinelearning [14] anticipation,upcoming [14] presentation,predictive [13] data,show Top Word Pairs in Tweet in G1:
[14] dr,data [14] #doctordatashow,#machinelearning [13] data,show [13] predictive,analytics [7] machine,learning [7] #pawcon,#machinelearning [6] watch,episode [6] analytics,world [5] analytics,#pawcon [5] accepted,speak Top Word Pairs in Tweet in G2:
[4] mega,paw [4] june,16 [4] 16,20 [3] paw,healthcare [3] final,week [3] week,register [3] register,mega [3] paw,vegas [3] vegas,june [3] 20,before Top Word Pairs in Tweet in G3:
[10] predictive,analytics [8] anticipation,upcoming [8] upcoming,conference [8] conference,presentation [8] presentation,predictive [8] analytics,world [8] vegas,asked [7] world,industry [7] industry,4 [7] 4,0 Top Word Pairs in Tweet in G4:
[5] one,spicey [5] spicey,fusky [5] fusky,#fursuitfriday [5] #fursuitfriday,jaceythefox [5] jaceythefox,#pawcon [5] #pawcon,lupesuits [4] tohrufusky,one Top Word Pairs in Tweet in G6:
[2] predictive,analytics [2] words,wisdom [2] nih_nhlbi,workshop [2] analytics,#implementation [2] #implementation,research Top Word Pairs in Tweet in G8:
[4] 6th,ralfklinkenberg [4] ralfklinkenberg,presenting [4] presenting,predictive [4] predictive,analytics [4] analytics,world [4] world,industry [4] industry,4 [4] 4,0 [4] 0,join [4] join,session Top Word Pairs in Tweet in G9:
[3] floored,amount [3] amount,dealer [3] dealer,responses [3] responses,received [3] received,year's [3] year's,shopping [3] shopping,district [3] district,going [3] excited,biggestlittlefc [3] biggestlittlefc,join Top Word Pairs in Tweet in G10:
[4] hat,make [4] make,look [4] look,dapper [4] dapper,#pawcon [4] #pawcon,photo [4] photo,camerapup [3] demetriustrader,hat Top Replied-To in Entire Graph:
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Top Tweeters in Entire Graph:
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