The graph represents a network of 367 Twitter users whose tweets in the requested range contained "odsc", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 12 October 2022 at 14:14 UTC.
The requested start date was Wednesday, 12 October 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 22-hour, 19-minute period from Wednesday, 28 September 2022 at 01:30 UTC to Tuesday, 11 October 2022 at 23:49 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 : 367
Unique Edges : 296
Edges With Duplicates : 1411
Total Edges : 1707
Number of Edge Types : 5
Replies to : 36
Mentions : 344
Retweet : 385
MentionsInRetweet : 567
Tweet : 375
Self-Loops : 385
Reciprocated Vertex Pair Ratio : 0.0232558139534884
Reciprocated Edge Ratio : 0.0454545454545455
Connected Components : 40
Single-Vertex Connected Components : 27
Maximum Vertices in a Connected Component : 291
Maximum Edges in a Connected Component : 1389
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.664135
Graph Density : 0.00425842378761484
Modularity : 0.259716
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 367 Twitter users whose tweets in the requested range contained "odsc", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 12 October 2022 at 14:14 UTC.
The requested start date was Wednesday, 12 October 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 22-hour, 19-minute period from Wednesday, 28 September 2022 at 01:30 UTC to Tuesday, 11 October 2022 at 23:49 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 : GraphServerTwitterSearch
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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[82] machine,learning [63] octubre,2022 [59] learning,deep [57] deep,learning [55] odsc,#ai [53] learning,mlops [51] mlops,data [50] future,ai [50] data,engineering [49] gathers,odsc Top Word Pairs in Tweet in G1:
[74] machine,learning [55] learning,deep [52] deep,learning [48] learning,mlops [47] mlops,data [46] data,engineering [45] future,ai [45] gathers,odsc [45] odsc,follow [45] follow,latest Top Word Pairs in Tweet in G2:
[52] odsc,#ai [26] #ai,cc [26] cc,schmarzo [23] far,odsc [23] open,source [23] top,12 [23] #machinelearning,projects [23] 2022,far [23] 12,open [23] projects,2022 Top Word Pairs in Tweet in G3:
[16] #datascience,courses [16] courses,kirkdborne [14] demand,#datascience [14] #online,demand [13] ðÿž,œds [13] #ai,#machinelearning [13] kirkdborne,ðÿž [13] œds,101 [13] œds,102 [13] 101,œds Top Word Pairs in Tweet in G4:
[63] octubre,2022 [28] septiembre,2022 [25] portada,mundo [25] mundo,deportivo [24] portada,sport [22] 2022,23 [20] portada,marca [14] barça,vs [14] celta,vigo [13] deportivo,octubre Top Word Pairs in Tweet in G5:
[16] frameworks,data [16] rise,data [16] source,big [16] development,open [16] big,data [16] software,frameworks [16] data,connectivity [16] data,volume [16] sharp,rise [16] volume,development Top Word Pairs in Tweet in G6:
[5] contributed,#fss2022 [5] day,come [5] come,thank [5] thank,partners [5] #fss2022,hopsworks [5] partners,contributed [5] hopsworks,organized [4] organized,summ [4] featurestoreorg,day Top Word Pairs in Tweet in G7:
[31] ãƒ,ム[11] music,garden [11] 10,23 [11] garden,vol [11] good,music [10] 23,æ [10] 00,ƒåœ [10] ºï,odscã [10] vol,2ã [10] 11,00ï Top Word Pairs in Tweet in G8:
[2] curve,nodted [2] #nct127,#la [2] film,learning [2] #seventeeninmanila,#bethesun_manila [2] seconds,set [2] became,surfers [2] #la,#nct127inla [2] manual,film [2] #jcc,#nct127 [2] set,exposure Top Word Pairs in Tweet in G9:
[6] approach,open [6] open,paper [6] data,stream [6] stream,approach [6] runoff,estimation [6] approach,global [6] exploiting,satellite [6] estimation,exploiting [6] global,runoff [6] satellite,data 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 G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
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Top Tweeters in G5:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: