The graph represents a network of 472 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, 07 December 2022 at 15:14 UTC.
The requested start date was Wednesday, 07 December 2022 at 01:01 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, 6-hour, 24-minute period from Wednesday, 23 November 2022 at 11:34 UTC to Tuesday, 06 December 2022 at 17:59 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 : 472
Unique Edges : 408
Edges With Duplicates : 1469
Total Edges : 1877
Number of Edge Types : 5
Mentions : 362
Retweet : 453
MentionsInRetweet : 771
Tweet : 270
Replies to : 21
Self-Loops : 297
Reciprocated Vertex Pair Ratio : 0.0243243243243243
Reciprocated Edge Ratio : 0.0474934036939314
Connected Components : 35
Single-Vertex Connected Components : 16
Maximum Vertices in a Connected Component : 335
Maximum Edges in a Connected Component : 1499
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.698057
Graph Density : 0.00340962251250495
Modularity : 0.319889
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 472 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, 07 December 2022 at 15:14 UTC.
The requested start date was Wednesday, 07 December 2022 at 01:01 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, 6-hour, 24-minute period from Wednesday, 23 November 2022 at 11:34 UTC to Tuesday, 06 December 2022 at 17:59 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:
[93] machine,learning [68] odsc,#ai [66] odsc,blog [61] newbie,odsc [61] blog,full [61] full,advice [61] #datascience,newbie [61] training,resources [61] advice,training [57] affaires,étrangères Top Word Pairs in Tweet in G1:
[80] machine,learning [62] odsc,blog [58] newbie,odsc [58] blog,full [58] full,advice [58] #datascience,newbie [58] training,resources [58] advice,training [50] kirkdborne,#datascience [41] deep,learning Top Word Pairs in Tweet in G2:
[62] odsc,#ai [39] #ai,#machinelearning [23] #machinelearning,#100daysofcode [20] #ai,startups [20] boom,150 [20] ethical,#ai [20] industry,trends [20] 150,ethical [20] startups,industry [20] trends,odsc Top Word Pairs in Tweet in G3:
[57] ans,juste [57] makey,64 [57] #belarus,vladimir [57] vladimir,makey [57] affaires,étrangères [57] ministre,affaires [57] subite,ministre [57] étrangères,#belarus [57] juste,après [57] après,sommet Top Word Pairs in Tweet in G4:
[10] iotswc,williamstim [10] twitterwomen,womeng [10] williamstim,twitterwomen [10] happy,#stemday [10] twitterdev,getengati [10] womeng,twitterdev [10] #stemday,dalithsteiger [10] dalithsteiger,andy_fitze [10] andy_fitze,iotswc [9] getengati,joinengat Top Word Pairs in Tweet in G5:
[45] noviembre,2022 [28] diciembre,2022 [22] qatar,2022 [20] resultado,final [20] mundial,qatar [20] final,resumen [19] portada,mundo [19] mundo,deportivo [18] portada,marca [18] portada,sport Top Word Pairs in Tweet in G6:
[13] afgelopen,week [13] documenten,die [13] die,gaan [13] onder,strikte [13] voorwaarden,inzage [13] kamerleden,onder [13] strikte,voorwaarden [13] gaan,over [13] inzage,documenten [13] week,kregen Top Word Pairs in Tweet in G9:
[5] sfu,royalroads [5] ubcokanagan,uvic [5] uvic,sfu [5] viuniversity,ubc [5] royalroads,unbc [5] ubc,ubcokanagan [3] unbc,odsc [3] rrupresident,viuniversity [2] unbc,#ai [2] definitely,complex Top Word Pairs in Tweet in G10:
[5] group,find [5] recently,updated [5] updated,presentation [5] presentation,group [5] find,click [4] hydrology_irpi,recently [4] click,fig 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 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:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: