The graph represents a network of 64 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, 03 May 2019 at 14:34 UTC.
The requested start date was Friday, 03 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 12-day, 8-hour, 6-minute period from Friday, 19 April 2019 at 15:15 UTC to Wednesday, 01 May 2019 at 23:21 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 : 64
Unique Edges : 80
Edges With Duplicates : 52
Total Edges : 132
Number of Edge Types : 3
Mentions : 86
Replies to : 6
Tweet : 40
Self-Loops : 40
Reciprocated Vertex Pair Ratio : 0.0526315789473684
Reciprocated Edge Ratio : 0.1
Connected Components : 10
Single-Vertex Connected Components : 4
Maximum Vertices in a Connected Component : 42
Maximum Edges in a Connected Component : 95
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.008649
Graph Density : 0.0198412698412698
Modularity : 0.514176
NodeXL Version : 1.0.1.412
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[38] predictive,analytics [21] analytics,world [14] dr,data [14] data,show [13] #doctordatashow,#machinelearning [10] industry,4 [10] 4,0 [10] price,break [10] june,16 [10] 16,20 Top Word Pairs in Tweet in G1:
[14] dr,data [14] data,show [13] #doctordatashow,#machinelearning [13] predictive,analytics [9] analytics,world [7] financial,vegas [6] watch,episode [6] big,fat [5] machine,learning [5] show,'a Top Word Pairs in Tweet in G2:
[12] predictive,analytics [6] wise,practitioner [6] analytics,interview [6] interview,series [6] analytics,times [6] times,machine [5] practitioner,â [5] â,predictive [5] series,brian [5] brian,duke Top Word Pairs in Tweet in G3:
[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 G4:
[6] predictive,analytics [5] analytics,world [5] premier,#machinelearning [5] #machinelearning,conference [4] 15,discount [3] world,healthcare [3] 7,parallel [3] parallel,tracks [3] tracks,150 [3] 150,international Top Word Pairs in Tweet in G5:
[6] june,16 [6] 16,20 [4] mega,paw [4] price,break [4] break,ends [3] sure,join [3] join,cicero [3] cicero,group [3] group,coo [3] coo,lawrence Top Word Pairs in Tweet in G6:
[2] ghc,anacondainc [2] marianne,mariannehgv [2] mariannehgv,data [2] data,scientist [2] scientist,boweryfarming [2] boweryfarming,works [2] works,optimizing [2] optimizing,operations [2] operations,supply [2] supply,chain Top Word Pairs in Tweet in G7:
[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 G8:
[8] pawcon,2019 [6] april,open [6] open,staff [6] staff,meeting [6] meeting,pawcon [6] zoom,online [6] online,meeting [4] shopping,district [4] reminder,april [4] 1p,2 Top Word Pairs in Tweet in G9:
[2] price,break [2] industry,4 [2] 4,0 [2] extended,until [2] until,friday [2] deep,learning Top Word Pairs in Tweet in G10:
[2] love,pawcon Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G6:
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 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:
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Top Tweeters in G9:
Top Tweeters in G10: