The graph represents a network of 16,895 Twitter users whose recent tweets contained "need Oxygen", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Sunday, 09 May 2021 at 01:34 UTC.
The tweets in the network were tweeted over the 13-hour, 56-minute period from Saturday, 08 May 2021 at 11:05 UTC to Sunday, 09 May 2021 at 01:02 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 : 16895
Unique Edges : 36418
Edges With Duplicates : 3615
Total Edges : 40033
Number of Edge Types : 5
Retweet : 15222
Tweet : 1016
MentionsInRetweet : 16716
Mentions : 4644
Replies to : 2435
Self-Loops : 1132
Reciprocated Vertex Pair Ratio : 0.00479094076655052
Reciprocated Edge Ratio : 0.00953619419159081
Connected Components : 949
Single-Vertex Connected Components : 364
Maximum Vertices in a Connected Component : 14321
Maximum Edges in a Connected Component : 37182
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.912668
Graph Density : 0.000129323333664887
Modularity : 0.736571
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 16,895 Twitter users whose recent tweets contained "need Oxygen", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Sunday, 09 May 2021 at 01:34 UTC.
The tweets in the network were tweeted over the 13-hour, 56-minute period from Saturday, 08 May 2021 at 11:05 UTC to Sunday, 09 May 2021 at 01:02 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 : TwitterSearch
Graph Term : need Oxygen
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:
[6416] need,oxygen [2325] oxygen,level [2115] oxygen,bed [2007] oxygen,cylinder [1848] patient,name [1840] please,help [1805] oxygen,concentrator [1477] ventilator,bed [1458] urgently,need [1276] urgent,need Top Word Pairs in Tweet in G1:
[991] need,oxygen [933] please,help [689] oxygen,level [553] patient,name [523] oxygen,cylinder [350] need,ventilator [336] oxygen,bed [323] urgent,need [287] sonusood,soodfoundation [272] ventilator,bed Top Word Pairs in Tweet in G2:
[1263] need,oxygen [873] oxygen,bed [363] pls,help [357] oxygen,level [345] bed,vijayawada [345] phone,number [341] admitted,hospital [339] vijayawada,name [339] name,sarath [339] sarath,babu Top Word Pairs in Tweet in G3:
[902] 700,mt [880] current,need [874] central,govt [870] delhi,received [870] oxygen,yesterday [870] yesterday,much [870] much,less [870] less,current [870] need,approx [868] received,487mt Top Word Pairs in Tweet in G4:
[536] urgently,need [498] bed,patna [494] senior,citizen [469] need,ventilator [467] ventilator,bed [467] oxygen,levels [465] patna,contact [464] patna,senior [464] citizen,dropping [464] dropping,oxygen Top Word Pairs in Tweet in G5:
[262] icu,bed [247] oxygen,cylinder [211] urgently,need [194] family,need [194] delivers,oxygen [187] contact,number [186] need,urgent [185] proud,#sosiyc [185] #sosiyc,women [185] women,volunteer Top Word Pairs in Tweet in G6:
[501] need,oxygen [386] need,help [333] ajmer,need [333] help,rohan [333] rohan,need [333] oxygen,father [333] father,father [333] father,critically [333] critically,ill [333] ill,spo2 Top Word Pairs in Tweet in G7:
[208] oxygen,concentrator [200] bangalore,please [200] please,magic [200] magic,help [200] help,find [200] find,oxygen [200] concentrator,capacity [200] capacity,5l [200] 5l,atleast [200] atleast,rent Top Word Pairs in Tweet in G8:
[491] oxygen,concentrator [487] need,oxygen [392] concentrator,vizag [296] vizag,leads [296] leads,kindly [296] kindly,know [296] know,thank [128] oxygen,concentrators [102] senior,citizen [102] please,contact Top Word Pairs in Tweet in G9:
[331] supreme,court [322] task,force [320] national,task [320] need,distribution [320] distribution,oxygen [319] assess,recommend [319] recommend,need [317] oxygen,entire [317] entire,country [316] court,bench Top Word Pairs in Tweet in G10:
[239] oxygen,concentrator [184] plz,help [182] 50,000 [182] 000,piece [178] dear,world [178] world,re [178] re,facing [178] facing,worst [178] worst,humanitarian [178] humanitarian,crisis 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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