The graph represents a network of 13,723 Twitter users whose recent tweets contained "SOS (covid OR 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, 02 May 2021 at 20:51 UTC.
The tweets in the network were tweeted over the 7-hour, 29-minute period from Sunday, 02 May 2021 at 13:07 UTC to Sunday, 02 May 2021 at 20:37 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 : 13723
Unique Edges : 50939
Edges With Duplicates : 5054
Total Edges : 55993
Number of Edge Types : 5
Retweet : 17257
MentionsInRetweet : 35462
Replies to : 561
Mentions : 2270
Tweet : 443
Self-Loops : 477
Reciprocated Vertex Pair Ratio : 0.00142843538710599
Reciprocated Edge Ratio : 0.00285279573982503
Connected Components : 225
Single-Vertex Connected Components : 78
Maximum Vertices in a Connected Component : 13179
Maximum Edges in a Connected Component : 55424
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.614377
Graph Density : 0.000279224873874316
Modularity : 0.558867
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 13,723 Twitter users whose recent tweets contained "SOS (covid OR 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, 02 May 2021 at 20:51 UTC.
The tweets in the network were tweeted over the 7-hour, 29-minute period from Sunday, 02 May 2021 at 13:07 UTC to Sunday, 02 May 2021 at 20:37 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 : SOS (covid OR 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:
[3510] ltgovdelhi,arvindkejriwal [3493] drharshvardhan,ltgovdelhi [3418] run,oxygen [2696] please,help [2676] liquid,oxygen [2544] delhi,hospitals [2039] oxygen,midnight [1992] sos,calls [1968] authorities,well [1968] well,aware Top Word Pairs in Tweet in G1:
[2664] ltgovdelhi,arvindkejriwal [2652] drharshvardhan,ltgovdelhi [1597] run,oxygen [1543] delhi,hospitals [1502] oxygen,midnight [1502] authorities,well [1502] well,aware [1502] aware,ones [1502] ones,avert [1502] avert,further Top Word Pairs in Tweet in G2:
[634] please,help [470] delhi,hospitals [440] patient,name [412] need,oxygen [356] oxygen,bed [318] urgent,need [304] run,oxygen [282] oxygen,supply [279] liquid,oxygen [240] please,amplify Top Word Pairs in Tweet in G3:
[1344] hours,oxygen [1341] patients,oxygen [1249] please,help [1154] cmodelhi,raghav_chadha [1152] 150,patients [1152] raghav_chadha,therahulmehra [1151] help,sos [1151] oxygen,70 [1151] 70,icu [1150] left,around Top Word Pairs in Tweet in G4:
[691] oxygen,level [654] icu,bed [549] patient,needs [482] patient,name [449] needs,oxygen [446] please,help [418] #sos,delhi [384] oxygen,bed [358] oxygen,cylinder [307] need,oxygen Top Word Pairs in Tweet in G5:
[969] run,oxygen [967] delhi,hospital [964] couple,hours [964] hours,sos [964] sos,coming [964] coming,delhi [964] hospital,run [964] oxygen,suppliers [964] suppliers,delivered [964] delivered,main Top Word Pairs in Tweet in G6:
[322] sos,call [311] running,oxygen [293] delhi,running [291] call,vimhans [289] vimhans,hopsital [289] hopsital,delhi [289] oxygen,need [289] need,hands [289] hands,board [289] board,manojtiwarimp Top Word Pairs in Tweet in G7:
[699] sos,call [684] call,nurses [684] final,year [342] nurses,helped [342] helped,repeating [342] repeating,sos [342] nurses,final [342] year,nursing [342] nursing,students [342] students,final Top Word Pairs in Tweet in G8:
[533] medizone,hospital [524] hospital,mother [500] nitishkumar,kumaravi [500] kumaravi,mangalpandeybjp [499] shortage,oxygen [499] #sos,#patna [499] #patna,nitishkumar [499] mangalpandeybjp,#oxygenshortage [499] #oxygenshortage,#urgent [494] mother,hospitalised Top Word Pairs in Tweet in G9:
[162] sos,messages [144] important,update [144] update,#oxygen [144] #oxygen,mumbai [144] mumbai,contest [144] contest,sos [144] messages,small [144] small,pvt [144] pvt,hospitals [144] hospitals,fortunate Top Word Pairs in Tweet in G10:
[94] patient,name [93] oxygen,level [63] sos,call [63] shri,ram [63] ram,singh [61] call,shri [61] hospital,noida [61] name,premlata [61] premlata,bhardwaj [61] bhardwaj,bilevel Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: