The graph represents a network of 1,706 Twitter users whose recent tweets contained "#IFEMA OR @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 Sunday, 06 June 2021 at 21:04 UTC.
The tweets in the network were tweeted over the 11-day, 19-hour, 5-minute period from Tuesday, 25 May 2021 at 11:22 UTC to Sunday, 06 June 2021 at 06:27 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 : 1706
Unique Edges : 5977
Edges With Duplicates : 4931
Total Edges : 10908
Number of Edge Types : 5
Replies to : 287
Mentions : 2353
MentionsInRetweet : 6365
Retweet : 1834
Tweet : 69
Self-Loops : 157
Reciprocated Vertex Pair Ratio : 0.0317862165963432
Reciprocated Edge Ratio : 0.0616139585605234
Connected Components : 28
Single-Vertex Connected Components : 17
Maximum Vertices in a Connected Component : 1641
Maximum Edges in a Connected Component : 10828
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.575512
Graph Density : 0.00252206289342772
Modularity : 0.448146
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 1,706 Twitter users whose recent tweets contained "#IFEMA OR @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 Sunday, 06 June 2021 at 21:04 UTC.
The tweets in the network were tweeted over the 11-day, 19-hour, 5-minute period from Tuesday, 25 May 2021 at 11:22 UTC to Sunday, 06 June 2021 at 06:27 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 OR @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:
[453] tooodos,días [417] ifema,madrid [302] días,tooodos [226] fitur_madrid,ifema [224] ifema,fitur_madrid [208] pablorros_,bosquehabitado [208] bosquehabitado,ifema [208] fitur_madrid,dgastronomia [208] dgastronomia,elpais_eco [208] elpais_eco,tsjmurcia Top Word Pairs in Tweet in G1:
[176] ifema,madrid [55] nuestra,ciudad [53] medio,ambiente [51] congreso,nacional [48] nacional,medio [45] ambiente,#conama2020 [44] madrid,live [42] salón,inmobiliario [41] sector,turístico [41] madridfusion,celebra Top Word Pairs in Tweet in G2:
[453] tooodos,días [302] días,tooodos [211] ifema,fitur_madrid [208] pablorros_,bosquehabitado [208] bosquehabitado,ifema [208] fitur_madrid,dgastronomia [208] dgastronomia,elpais_eco [208] elpais_eco,tsjmurcia [206] lopezmirasf,pablorros_ [184] fitur_madrid,ifema Top Word Pairs in Tweet in G3:
[132] #madridfusion2021,#madridfusion [119] #madridfusion,#gastronomiacircular [119] #gastronomiacircular,#madrid [119] #madrid,#circulargastronomy [119] #circulargastronomy,#ifema [112] #mipmadridfusion,#madridfusion2021 [104] #ifema,#online [77] 31,mayo [71] junio,ifema [71] madridfusion,ifema Top Word Pairs in Tweet in G4:
[186] 10,junio [161] fabianbanchero,equipoviajero [159] foro,ciudades [157] ifema,madrid [156] #ged2021,#globalexhibitionsday [156] #globalexhibitionsday,#ifema [156] #ifema,fabianbanchero [148] ciudades,madrid [135] madrid,ifema [104] junio,día Top Word Pairs in Tweet in G5:
[40] salonvo,ifema [36] 13,junio [27] ifema,madrid [26] vehículo,ocasión [25] ocasión,seminuevos [24] salón,vehículo [22] junio,ifema [20] ocasión,seminuevo [17] entradas,dobles [16] vehículos,ocasión Top Word Pairs in Tweet in G6:
[2] transparencia,tispain [2] tispain,transparentegob [2] transparentegob,transparencia [2] transparencia,anticorruption [2] anticorruption,transparencia_e [2] transparencia_e,transparentia_ [2] transparentia_,newtral [2] newtral,_anapastor_ [2] _anapastor_,elsenala [2] elsenala,elordenmundial Top Word Pairs in Tweet in G7:
[8] lanotadigital,rancagua_dgt [6] rancagua_dgt,montevideolatam [4] ifema,fitur_madrid [3] canonespana,impulsó [3] impulsó,ifema [3] ifema,campaña [3] campaña,#dibujosconsentimiento [3] #dibujosconsentimiento,imprieron [3] imprieron,000 [3] 000,dibujos Top Word Pairs in Tweet in G8:
[5] salón,vehículo [5] vehículo,ocasión [3] recinto,ferial [3] ferial,#ifema [3] 13,junio [3] #ifema,madrid [2] #ifema,#madrid [2] #ifema,#turismo [2] #turismo,#turismosostenible [2] #turismosostenible,#teruel Top Word Pairs in Tweet in G9:
[12] inproturarg,ifema [12] ifema,argenesp [12] argenesp,turdepar [9] armó,stand [9] stand,argentina [9] argentina,fitur_madrid [9] fitur_madrid,ganó [9] ganó,premios [9] premios,mejor [9] mejor,diseño Top Word Pairs in Tweet in G10:
[8] sidre,esplumoso [8] esplumoso,asturiano [8] asturiano,ye [8] ye,tou [8] tou,apueste [8] apueste,futuru [8] futuru,#sidre [8] #sidre,#sidra [8] #sidra,#cider [8] #cider,#cidre 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 G9:
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: