The graph represents a network of 496 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, 01 June 2022 at 14:14 UTC.
The requested start date was Wednesday, 01 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, 12-hour, 25-minute period from Wednesday, 18 May 2022 at 05:51 UTC to Tuesday, 31 May 2022 at 18:17 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 : 496
Unique Edges : 364
Edges With Duplicates : 1336
Total Edges : 1700
Number of Edge Types : 5
Retweet : 358
MentionsInRetweet : 578
Tweet : 311
Mentions : 387
Replies to : 66
Self-Loops : 317
Reciprocated Vertex Pair Ratio : 0.0246734397677794
Reciprocated Edge Ratio : 0.0481586402266289
Connected Components : 39
Single-Vertex Connected Components : 24
Maximum Vertices in a Connected Component : 415
Maximum Edges in a Connected Component : 1485
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 2.770532
Graph Density : 0.00287552948843271
Modularity : 0.318677
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 496 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, 01 June 2022 at 14:14 UTC.
The requested start date was Wednesday, 01 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, 12-hour, 25-minute period from Wednesday, 18 May 2022 at 05:51 UTC to Tuesday, 31 May 2022 at 18:17 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:
[137] machine,learning [106] deep,learning [85] mlops,data [85] data,engineering [84] future,ai [83] mayo,2022 [81] learning,deep [78] ai,gathers [78] gathers,odsc [78] odsc,follow Top Word Pairs in Tweet in G1:
[107] machine,learning [96] deep,learning [78] mlops,data [78] data,engineering [76] future,ai [73] learning,deep [71] ai,gathers [71] gathers,odsc [71] odsc,follow [71] follow,latest Top Word Pairs in Tweet in G2:
[46] #ai,#machinelearning [45] odsc,#ai [33] #machinelearning,#100daysofcode [24] #machinelearning,odsc [18] #ai,#iot [17] model,overload [17] overload,#nlp [17] #nlp,model [17] model,choose [17] choose,odsc Top Word Pairs in Tweet in G3:
[5] sauain,labmlai [4] labmlai,theaisummer [4] theaisummer,deeplearn007 [4] deeplearn007,raehanbobby [4] raehanbobby,ai2_allennlp [4] ai2_allennlp,machine_ml [4] machine_ml,w4nderlus7 [4] odsc,#ai [4] ml_nlp,m_learningnews [3] #ai,#machinelearning Top Word Pairs in Tweet in G4:
[83] mayo,2022 [23] portada,mundo [23] mundo,deportivo [22] portada,sport [20] portada,marca [8] 31,mayo [8] 19,mayo [8] 20,mayo [8] 23,mayo [8] 26,mayo Top Word Pairs in Tweet in G5:
[10] ai,best [10] best,#reinforcementlearning [10] #reinforcementlearning,#machinelearning [10] #machinelearning,supercharger [10] supercharger,#bigdata [10] #bigdata,#analytics [10] #analytics,#datascience [10] #datascience,#ai [10] #ai,#iot [10] #iot,#iiot Top Word Pairs in Tweet in G6:
[2] rizaar_,greatgoatsnft [2] greatgoatsnft,camochameleonc [2] gang,gang Top Word Pairs in Tweet in G7:
[14] #ai,#machinelearning [14] odsc,europe [13] #machinelearning,#datascience [12] #datascience,#artificialintelligence [12] #artificialintelligence,trending [9] evolution,digital [9] digital,twins [9] twins,#ai [9] add,highlights [8] genericgranola,evolution Top Word Pairs in Tweet in G8:
[2] batodnorth,batod_ni [2] batod_ni,batodeast [2] batodeast,batod_midlands [2] batod_midlands,batodscotland [2] batodscotland,batodcymru [2] batodcymru,batodsouth [2] batodsouth,batodsouthwest [2] batodsouthwest,ddeaftod 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 Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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