The graph represents a network of 1,567 Twitter users whose recent tweets contained "@ifema", 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, 28 March 2022 at 10:11 UTC.
The tweets in the network were tweeted over the 8-day, 2-hour, 21-minute period from Sunday, 20 March 2022 at 07:43 UTC to Monday, 28 March 2022 at 10:05 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 : 1567
Unique Edges : 4029
Edges With Duplicates : 4083
Total Edges : 8112
Number of Edge Types : 5
Mentions : 2485
Retweet : 1438
Replies to : 336
MentionsInRetweet : 3849
Tweet : 4
Self-Loops : 31
Reciprocated Vertex Pair Ratio : 0.0438995451848922
Reciprocated Edge Ratio : 0.0841068384163667
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 1567
Maximum Edges in a Connected Component : 8112
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.411862
Graph Density : 0.0021512501212345
Modularity : 0.417409
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,567 Twitter users whose recent tweets contained "@ifema", 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, 28 March 2022 at 10:11 UTC.
The tweets in the network were tweeted over the 8-day, 2-hour, 21-minute period from Sunday, 20 March 2022 at 07:43 UTC to Monday, 28 March 2022 at 10:05 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 : @ifema
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[389] ifema,madrid [237] formación,profesional [181] #spainskills2022,ifema [180] #antikpassionalmoneda,primavera [146] pabellón,ifema [134] educaciongob,ifema [132] competición,#spainskills2022 [103] día,competición [99] peores,momentos [99] estudiantes,recién Top Word Pairs in Tweet in G1:
[67] ifema,madrid [60] formación,profesional [39] competición,#spainskills2022 [38] #spainskills2022,ifema [36] lugar,ifema [31] estudiantes,recién [31] 28,abril [29] día,competición [28] 27,modalidades [28] marzo,ifema Top Word Pairs in Tweet in G2:
[81] peores,momentos [81] momentos,pandemia [69] hospital,temporal [64] 21,marzo [64] marzo,2020 [64] 2020,abrió [64] abrió,puertas [64] puertas,hospital [64] temporal,ifema [64] ifema,infraestructura Top Word Pairs in Tweet in G3:
[151] formación,profesional [117] #spainskills2022,ifema [104] educaciongob,ifema [73] competición,#spainskills2022 [73] #spainskills2022,educaciongob [68] #mefp,#dpceuta [68] #dpceuta,#upe [67] profesional,#spainskills2022 [63] nacional,formación [56] educaciongob,todofp Top Word Pairs in Tweet in G4:
[35] expodental_,ifema [30] vivelamoto,ifema [22] ifema,madrid [19] 31,marzo [18] marzo,abril [14] nuestro,stand [13] movilidad,sostenible [13] día,expodental_ [12] 500,marcas [11] ifema,#gestosquesalvanvidas Top Word Pairs in Tweet in G5:
[64] infarma_es,ifema [18] 30,000 [17] 000,profesionales [15] ifema,comunidadmadrid [15] productos,sanitarios [14] profesionales,430 [14] 430,empresas [14] comenzado,infarma_es [14] comunidadmadrid,vamos [14] vamos,destinar Top Word Pairs in Tweet in G6:
[32] foro,ciudades [32] ciudades,madrid [32] madrid,ifema [23] fcc_ma,prezero_es [20] forociudadesmad,ifema [15] prezero_es,ecoembes [14] 14,16 [14] futuro,#economíacircular [14] #economíacircular,frente [14] frente,nuevos Top Word Pairs in Tweet in G7:
[42] educacyl,dgm_aldo [36] dgm_aldo,ifema [35] #cylskills,#spainskills2022 [32] #fp,valladolid [32] primeras,pruebas [32] pruebas,competición [28] equipo,#cylskills2022 [28] #fp,#spainskills2022 [27] ifema,#madrid [24] #spainskills2022,ifema Top Word Pairs in Tweet in G8:
[21] educaciongob,ifema [20] ifema,#deespaldasalaleyfp [20] #deespaldasalaleyfp,#nosomosprofesoradodesegunda [20] #nosomosprofesoradodesegunda,#laexperienciaesungrado [20] #laexperienciaesungrado,#somoslaesenciadelafp [20] #somoslaesenciadelafp,ptfpred [20] ptfpred,senadoesp [20] senadoesp,confeintersindi [20] confeintersindi,pilar_alegria [20] pilar_alegria,stesintersindic Top Word Pairs in Tweet in G9:
[37] miguelamunoz,lalioficial [37] lalioficial,presentadores [37] presentadores,gala [37] gala,#premiosplatino2022 [37] #premiosplatino2022,mayo [37] mayo,ifema [37] ifema,premiosplatino [37] premiosplatino,egeda_comunica [37] egeda_comunica,#efecomunica Top Word Pairs in Tweet in G10:
[35] ifema,valdebebas [25] valdebebas,elopezpuertas [25] elopezpuertas,madcoolfestival [25] madcoolfestival,brainsrenews [25] brainsrenews,ejeprime [25] ejeprime,avvaldebebas [25] avvaldebebas,marianofuentess [25] marianofuentess,almeidapp_ [25] almeidapp_,merca2_es [23] hilosvaldebebas,ifema 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 G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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 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:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: