The graph represents a network of 21,898 Twitter users whose recent tweets contained "ASCO", 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 Monday, 17 February 2020 at 14:34 UTC.
The tweets in the network were tweeted over the 8-hour, 34-minute period from Monday, 17 February 2020 at 05:34 UTC to Monday, 17 February 2020 at 14:08 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 : 21898
Unique Edges : 22205
Edges With Duplicates : 802
Total Edges : 23007
Number of Edge Types : 5
Tweet : 4216
Mentions : 2936
Replies to : 3524
Retweet : 10662
MentionsInRetweet : 1669
Self-Loops : 4231
Reciprocated Vertex Pair Ratio : 0.00447158905005998
Reciprocated Edge Ratio : 0.00890336590662324
Connected Components : 5375
Single-Vertex Connected Components : 2564
Maximum Vertices in a Connected Component : 6916
Maximum Edges in a Connected Component : 7983
Maximum Geodesic Distance (Diameter) : 35
Average Geodesic Distance : 8.61618
Graph Density : 3.84149751032797E-05
Modularity : 0.863143
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 21,898 Twitter users whose recent tweets contained "ASCO", 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 Monday, 17 February 2020 at 14:34 UTC.
The tweets in the network were tweeted over the 8-hour, 34-minute period from Monday, 17 February 2020 at 05:34 UTC to Monday, 17 February 2020 at 14:08 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 : ASCO
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:
[2965] dan,asco [1607] mucho,asco [1386] dan,ganas [1383] tarjeta,alimentaria [1372] asco,escupen [1372] escupen,calle [1372] calle,dan [1372] ganas,agarrarles [1372] agarrarles,cabeza [1372] cabeza,hacerles Top Word Pairs in Tweet in G1:
[150] puto,asco [104] dan,asco [84] asco,gente [63] asco,dan [53] mucho,asco [46] asco,persona [45] doy,asco [27] dios,asco [25] asco,vida [23] cara,asco Top Word Pairs in Tweet in G2:
[1377] dan,asco [1371] tarjeta,alimentaria [1294] escándalo,dan [1293] asco,tarjeta [1293] alimentaria,comprando [1293] comprando,wall [1293] wall,mart [1293] mart,escandaloso [1293] escandaloso,auto [1293] auto,vergüenza Top Word Pairs in Tweet in G3:
[1321] mucho,asco [1321] asco,escupen [1321] escupen,calle [1321] calle,dan [1321] dan,ganas [1321] ganas,agarrarles [1321] agarrarles,cabeza [1321] cabeza,hacerles [1321] hacerles,chupar [1321] chupar,propio Top Word Pairs in Tweet in G4:
[804] físicamente,asco [804] asco,emocionalmente [804] emocionalmente,asco [17] mucho,asco [17] asco,escupen [17] escupen,calle [17] calle,dan [17] dan,ganas [17] ganas,agarrarles [17] agarrarles,cabeza Top Word Pairs in Tweet in G5:
[665] asco,pies [664] dan,asco [661] estoy,leyendo [661] leyendo,gente [661] gente,dan [661] pies,pues [661] pues,bien [661] bien,amor [661] amor,igual [661] igual,cuerpo Top Word Pairs in Tweet in G6:
[270] produce,asco [270] asco,enojo [269] inspira,miedo [269] miedo,produce [269] deterioro,social [268] desagradable,sino [268] sino,acciones [268] acciones,guerra [268] guerra,delirante [268] delirante,ambición Top Word Pairs in Tweet in G7:
[155] diferencia,elespanolcom [155] elespanolcom,hablado [155] hablado,testigos [155] testigos,mujer [155] mujer,justificaba [155] justificaba,denuncias [155] denuncias,falsas [155] falsas,apellidó [155] apellidó,pequeño [155] pequeño,abascal Top Word Pairs in Tweet in G8:
[340] doy,asco [339] subnormal,doy [338] asco,ido [338] ido,nunca [338] nunca,capea [83] puto,asco [69] asco,verdad [69] verdad,españa [69] españa,ingresa [69] ingresa,beca Top Word Pairs in Tweet in G9:
[27] asco,gente [24] gente,valora [24] valora,nada [24] nada,pasa [24] pasa,culo [24] culo,haces [13] hubieras,avisado [13] avisado,asco [13] asco,persona [13] persona,eras Top Word Pairs in Tweet in G10:
[222] siento,revuelto [222] revuelto,estómago [222] estómago,asco [222] asco,rabia [222] rabia,vivir [222] vivir,feminicida [222] feminicida,presidente [222] presidente,indiferente [222] indiferente,topar [222] topar,gente 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 G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
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:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: