The graph represents a network of 525 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, 08 June 2022 at 14:14 UTC.
The requested start date was Wednesday, 08 June 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, 16-hour, 52-minute period from Wednesday, 25 May 2022 at 04:02 UTC to Tuesday, 07 June 2022 at 20:55 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 : 525
Unique Edges : 420
Edges With Duplicates : 1323
Total Edges : 1743
Number of Edge Types : 5
Retweet : 398
MentionsInRetweet : 629
Mentions : 334
Tweet : 342
Replies to : 40
Self-Loops : 345
Reciprocated Vertex Pair Ratio : 0.0344827586206897
Reciprocated Edge Ratio : 0.0666666666666667
Connected Components : 51
Single-Vertex Connected Components : 40
Maximum Vertices in a Connected Component : 455
Maximum Edges in a Connected Component : 1569
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 2.96668
Graph Density : 0.00272628135223555
Modularity : 0.324107
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 525 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, 08 June 2022 at 14:14 UTC.
The requested start date was Wednesday, 08 June 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, 16-hour, 52-minute period from Wednesday, 25 May 2022 at 04:02 UTC to Tuesday, 07 June 2022 at 20:55 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:
[130] machine,learning [88] deep,learning [83] future,ai [77] mlops,data [77] data,engineering [74] learning,deep [70] ai,gathers [70] gathers,odsc [70] odsc,follow [70] follow,latest Top Word Pairs in Tweet in G1:
[121] machine,learning [84] deep,learning [78] future,ai [73] mlops,data [73] data,engineering [70] learning,deep [66] ai,gathers [66] gathers,odsc [66] odsc,follow [66] follow,latest Top Word Pairs in Tweet in G2:
[30] #machinelearning,#100daysofcode [21] odsc,#ai [20] #datascience,#machinelearning [20] #100daysofcode,cc [19] introduction,#pytorch [19] #pytorch,odsc [19] odsc,#coding [19] #coding,#ai [19] #ai,#datascience [18] ipfconline1,causal Top Word Pairs in Tweet in G3:
[41] mayo,2022 [39] junio,2022 [21] portada,marca [20] portada,sport [20] portada,mundo [20] mundo,deportivo [13] evolution,digital [13] digital,twins [12] #artificialintelligence,#digital [10] portada,junio Top Word Pairs in Tweet in G4:
[26] #ai,#iot [14] #machinelearning,odsc [14] #datascience,#ai [13] transforming,skewed [13] skewed,#data [13] #data,#machinelearning [13] odsc,medium [13] medium,learn [13] learn,more [13] more,#ai Top Word Pairs in Tweet in G5:
[22] #ai,#machinelearning [20] #machinelearning,#datascience [18] #datascience,#artificialintelligence [16] odsc,europe [15] digital,twins [14] evolution,digital [14] twins,#ai [13] genericgranola,evolution [12] #artificialintelligence,trendingâ [11] add,highlights Top Word Pairs in Tweet in G6:
[14] #odsceurope,2022 [13] find,tools [13] tools,solutions [13] solutions,need [13] need,build [13] build,#ai [13] #ai,project [13] project,better [13] better,#odsceurope [13] 2022,top Top Word Pairs in Tweet in G7:
[12] melting,pot [12] pot,reverse [12] reverse,engineering [12] engineering,approach [12] approach,multi [12] multi,agent [12] agent,artificial [12] artificial,general [12] general,intelligence [12] intelligence,cc Top Word Pairs in Tweet in G9:
[3] vy,excited [3] excited,join [3] join,dataforpolicy [3] dataforpolicy,chair [3] chair,area [3] area,#policy [3] #policy,#frameworks [3] #frameworks,#governance [3] #governance,#data [3] #data,driven Top Word Pairs in Tweet in G10:
[4] healthcare,innovation [4] innovation,hindered [4] hindered,data [4] data,scientist [4] scientist,shortage [3] #digitalhealth,#datascientist [3] #datascientist,#mwc22 [3] #mwc22,#ai [3] #ai,#healthtech [3] #healthtech,#ml Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G6:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G4:
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:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: