The graph represents a network of 1,036 Twitter users whose recent tweets contained "ODSC", 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 Thursday, 31 October 2019 at 15:20 UTC.
The tweets in the network were tweeted over the 9-day, 1-hour, 39-minute period from Tuesday, 22 October 2019 at 13:28 UTC to Thursday, 31 October 2019 at 15:07 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 : 1036
Unique Edges : 3611
Edges With Duplicates : 4956
Total Edges : 8567
Self-Loops : 705
Reciprocated Vertex Pair Ratio : 0.0249254367277375
Reciprocated Edge Ratio : 0.0486385366867595
Connected Components : 80
Single-Vertex Connected Components : 47
Maximum Vertices in a Connected Component : 909
Maximum Edges in a Connected Component : 8289
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.591073
Graph Density : 0.00448678492156753
Modularity : 0.329977
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 1,036 Twitter users whose recent tweets contained "ODSC", 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 Thursday, 31 October 2019 at 15:20 UTC.
The tweets in the network were tweeted over the 9-day, 1-hour, 39-minute period from Tuesday, 22 October 2019 at 13:28 UTC to Thursday, 31 October 2019 at 15:07 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 : TwitterSearch
Graph Term : ODSC
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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[308] #datascience,#ai [252] sbucloud,fabriziobustama [240] machine,learning [231] data,science [216] mvollmer1,sbmeunier [214] ronald_vanloon,drjdrooghaag [214] drjdrooghaag,mvollmer1 [214] sbmeunier,odsc [214] odsc,sbucloud [211] #datascience,#machinelearning Top Word Pairs in Tweet in G1:
[209] #datascience,#ai [187] machine,learning [160] #datascience,#machinelearning [158] data,science [135] register,now [131] odsc,west [116] san,francisco [106] last,chance [91] deep,learning [90] use,cases Top Word Pairs in Tweet in G2:
[222] sbucloud,fabriziobustama [190] ronald_vanloon,drjdrooghaag [190] drjdrooghaag,mvollmer1 [190] mvollmer1,sbmeunier [190] sbmeunier,odsc [189] odsc,sbucloud [185] fabriziobustama,mikequindazzi [185] mikequindazzi,swissbusiness [154] #bigdata,ipfconline1 [141] yuhelenyu,bobehayes Top Word Pairs in Tweet in G3:
[74] v,odsc [54] #datascience,cc [49] #machinelearning,#deeplearning [45] #ai,#machinelearning [45] cc,deeplearn007 [44] odsc,#ai [37] reinforcement,learning [37] #deeplearning,#datascience [35] best,deep [35] deep,reinforcement Top Word Pairs in Tweet in G4:
[16] started,#deeplearning [16] #deeplearning,using [16] using,examples [16] examples,odsc [16] odsc,#odsc [16] #odsc,#ai [16] #ai,#datascience [16] #datascience,#machinelearning [16] #machinelearning,#odscwest [5] time,tough Top Word Pairs in Tweet in G5:
[23] data,science [17] odsc,west [13] west,2019 [9] san,francisco [7] science,#odsc [7] deep,learning [5] machine,learning [5] open,data [4] science,conference [4] accelerate,ai Top Word Pairs in Tweet in G6:
[12] odsc,west [8] next,week [7] machine,learning [7] novel,use [7] use,cases [7] numfocus,uwescience [7] uwescience,uwcse [6] bias,ai [6] ai,important [6] important,hard Top Word Pairs in Tweet in G7:
[22] #datascience,#ai [21] check,out [20] out,video [20] #odsc_india,2019 [20] 2019,register [20] data,science [19] register,now [18] now,2020 [18] 2020,conference [14] #ai,#ml Top Word Pairs in Tweet in G8:
[9] workshop,caseyfitz [8] slides,materials [8] materials,workshop [8] caseyfitz,actionable [8] actionable,ethics [8] ethics,data [8] data,scientists [8] scientists,today [8] today,#odscwest [8] #odscwest,github Top Word Pairs in Tweet in G9:
[12] didn,t [12] t,learn [11] 'what,didn [11] learn,machine [11] machine,learning [10] learning,school' [8] chief,data [8] data,scientist [8] scientist,thompson_wayne [8] school',#odscwest Top Word Pairs in Tweet in G10:
[7] odsc,apachespark [7] apachespark,dask_dev [6] odsc,west [6] west,sf [5] full,day [4] adbreind,odsc [4] coming,odsc [4] sf,next [4] next,week [4] week,10 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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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:
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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: