The graph represents a network of 77 Twitter users whose recent tweets contained "#Pawcon", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Tuesday, 18 June 2019 at 19:30 UTC.
The tweets in the network were tweeted over the 8-day, 5-hour, 22-minute period from Monday, 10 June 2019 at 13:54 UTC to Tuesday, 18 June 2019 at 19:16 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 : 77
Unique Edges : 81
Edges With Duplicates : 53
Total Edges : 134
Self-Loops : 38
Reciprocated Vertex Pair Ratio : 0.0958904109589041
Reciprocated Edge Ratio : 0.175
Connected Components : 19
Single-Vertex Connected Components : 11
Maximum Vertices in a Connected Component : 35
Maximum Edges in a Connected Component : 75
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.827448
Graph Density : 0.0136705399863295
Modularity : 0.508437
NodeXL Version : 1.0.1.413
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[23] predictive,analytics [17] analytics,world [9] #pawcon,#machinelearning [7] industry,4 [7] 4,0 [6] pawcon,#pawcon [6] deep,learning [6] learn,more [6] #pawcon,vegas [6] next,week Top Word Pairs in Tweet in G1:
[6] pawcon,#pawcon [4] dr,daley [4] daley,predictprevent [4] predictprevent,calling [4] calling,data [4] data,scientists [4] scientists,involved [4] involved,#data4good [4] #data4good,pawcon [3] come,join Top Word Pairs in Tweet in G2:
[8] predictive,analytics [4] analytics,world [3] time,meet [3] meet,#pawcon [3] #pawcon,exhibitors [3] exhibitors,come [3] come,booth [3] booth,see [3] see,s [3] s,store Top Word Pairs in Tweet in G3:
[5] big,squid [4] #pawcon,#machinelearning [3] predictive,analytics [3] anyone,#pawcon [3] #pawcon,vegas [3] vegas,week [3] week,big [3] squid,here [3] here,ready [3] ready,chat Top Word Pairs in Tweet in G4:
[3] industry,4 [3] 4,0 [3] #pawcon,#ai [3] predictive,analytics [3] analytics,world [2] paw,industry [2] deep,learning [2] want,miss [2] miss,ai [2] ai,driven Top Word Pairs in Tweet in G5:
[5] learn,more [4] come,see [4] southwest,airlines [4] premier,#machinelearning [4] #machinelearning,conference [4] conference,predictive [4] predictive,analytics [4] analytics,world [3] see,today [3] today,#pawcon Top Word Pairs in Tweet in G6:
[4] deep,learning [3] #pawcon,#dlwcon [2] excited,keynoting [2] keynoting,deep [2] learning,world [2] world,2019 [2] 2019,dlwcon [2] dlwcon,vegas [2] vegas,siddhaganju [2] siddhaganju,meherkasam Top Word Pairs in Tweet in G7:
[4] paw,industry [4] industry,4 [4] 4,0 [4] sprecher,bestätigt [4] viele,mehr [3] quote,day [3] day,paw [3] 0,provides [3] provides,great [3] great,focus Top Word Pairs in Tweet in G8:
[2] talking,opportunities [2] opportunities,deploying [2] deploying,#machinelearning [2] #machinelearning,#datascience [2] #datascience,methods [2] methods,plant [2] plant,setting Top Word Pairs in Tweet in G9:
[2] geminidataco,#predictiveanalytics [2] #predictiveanalytics,world [2] world,week [2] week,vegas [2] vegas,stop [2] stop,chat [2] chat,#pawcon Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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: