The graph represents a network of 530 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, 05 October 2022 at 14:14 UTC.
The requested start date was Wednesday, 05 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, 15-hour, 41-minute period from Wednesday, 21 September 2022 at 02:25 UTC to Tuesday, 04 October 2022 at 18:07 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 : 530
Unique Edges : 348
Edges With Duplicates : 1435
Total Edges : 1783
Number of Edge Types : 5
Mentions : 291
Retweet : 473
MentionsInRetweet : 679
Tweet : 297
Replies to : 43
Self-Loops : 304
Reciprocated Vertex Pair Ratio : 0.0177353342428377
Reciprocated Edge Ratio : 0.0348525469168901
Connected Components : 35
Single-Vertex Connected Components : 19
Maximum Vertices in a Connected Component : 432
Maximum Edges in a Connected Component : 1551
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.914885
Graph Density : 0.00266076969718586
Modularity : 0.339728
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 530 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, 05 October 2022 at 14:14 UTC.
The requested start date was Wednesday, 05 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, 15-hour, 41-minute period from Wednesday, 21 September 2022 at 02:25 UTC to Tuesday, 04 October 2022 at 18:07 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 : 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:
[148] open,source [124] sharp,rise [124] rise,data [124] data,volume [124] volume,development [124] development,open [124] source,big [124] big,data [124] data,software [124] software,frameworks Top Word Pairs in Tweet in G1:
[89] machine,learning [73] learning,deep [69] deep,learning [62] future,ai [59] learning,mlops [58] ai,gathers [58] gathers,odsc [58] odsc,follow [58] follow,latest [58] latest,machine Top Word Pairs in Tweet in G2:
[124] sharp,rise [124] rise,data [124] data,volume [124] volume,development [124] development,open [124] open,source [124] source,big [124] big,data [124] data,software [124] software,frameworks Top Word Pairs in Tweet in G3:
[50] odsc,#ai [23] top,12 [23] 12,open [23] open,source [23] source,#machinelearning [23] #machinelearning,projects [23] projects,2022 [23] 2022,far [23] far,odsc [23] #ai,cc Top Word Pairs in Tweet in G4:
[14] #datascience,#machinelearning [14] ds,101 [14] 101,ds [14] ds,102 [13] online,#datascience [13] #machinelearning,modeling [13] modeling,courses [11] kirkdborne,online [10] machine,learning [8] expert,led Top Word Pairs in Tweet in G5:
[24] septiembre,2022 [9] portada,sport [9] portada,mundo [9] mundo,deportivo [7] octubre,2022 [6] portada,marca [4] 27,septiembre [4] 2022,final [4] 28,septiembre [4] 29,septiembre Top Word Pairs in Tweet in G6:
[9] data,science [9] #datascience,#ml [8] learn,data [8] science,shortest [8] shortest,amount [8] amount,time [8] time,antgrasso [8] antgrasso,mikequindazzi [8] mikequindazzi,#insurtech [8] #insurtech,#datascience Top Word Pairs in Tweet in G7:
[10] 告知1,10 [10] 10,23 [10] 23,日 [10] 日,11 [10] 11,00 [10] 00,19 [10] 19,00 [10] 00,心地よいこの季節にアリスガーデンにて [10] 心地よいこの季節にアリスガーデンにて,good [10] good,music Top Word Pairs in Tweet in G8:
[2] took,20 [2] 20,seconds [2] seconds,set [2] set,exposure [2] exposure,photo [2] photo,hahaha [2] hahaha,manual [2] manual,film [2] film,learning [2] learning,curve Top Word Pairs in Tweet in G10:
[6] approach,global [6] global,runoff [6] runoff,estimation [6] estimation,exploiting [6] exploiting,satellite [6] satellite,data [6] data,stream [6] stream,approach [6] approach,open [6] open,paper Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
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: