The graph represents a network of 473 Twitter users whose recent tweets contained "#Infarma2023", 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 Friday, 17 March 2023 at 06:24 UTC.
The tweets in the network were tweeted over the 9-day, 14-hour, 41-minute period from Tuesday, 07 March 2023 at 08:00 UTC to Thursday, 16 March 2023 at 22:42 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 : 473
Unique Edges : 1101
Edges With Duplicates : 2215
Total Edges : 3316
Number of Edge Types : 5
Retweet : 892
MentionsInRetweet : 1192
Mentions : 867
Replies to : 57
Tweet : 308
Self-Loops : 311
Reciprocated Vertex Pair Ratio : 0.0938602681721948
Reciprocated Edge Ratio : 0.171612903225806
Connected Components : 25
Single-Vertex Connected Components : 19
Maximum Vertices in a Connected Component : 438
Maximum Edges in a Connected Component : 3272
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.853528
Graph Density : 0.00694270254774788
Modularity : 0.251606
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 473 Twitter users whose recent tweets contained "#Infarma2023", 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 Friday, 17 March 2023 at 06:24 UTC.
The tweets in the network were tweeted over the 9-day, 14-hour, 41-minute period from Tuesday, 07 March 2023 at 08:00 UTC to Thursday, 16 March 2023 at 22:42 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 : #Infarma2023
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:
[90] atención,farmacéutica [74] mesa,actualidad [73] oficina,farmacia [72] nuestro,stand [69] stand,d61 [69] d61,#infarma2023 [68] sala,ℹ [68] farmacéutica,domiciliaria [67] os,esperamos [67] aula,profesional Top Word Pairs in Tweet in G1:
[69] d61,#infarma2023 [69] stand,d61 [59] enlace,disfrutar [52] #onfarmafaes,#infarma2023 [46] entrevistas,#onfarmafaes [41] sala,ℹ [40] aula,profesional [40] profesional,#infarma2023 [35] disfrutar,entrevistas [34] oficina,farmacia Top Word Pairs in Tweet in G2:
[20] 14,16 [20] #cofareseninfarma,#infarma2023 [19] os,esperamos [18] stand,d36 [18] d36,d38 [17] sala,ℹ [17] farmaceuticsbcn,cofmadrid [16] infarma_es,infarma_salon [16] 16,marzo [16] esperamos,stand Top Word Pairs in Tweet in G3:
[26] stand,farmaceuticos_ [26] pabellón,stand [26] stand,d05 [25] farmaceuticsbcn,cofmadrid [23] consejo,general [22] #tufarmacéuticoinforma,#botplus [22] esperamos,pabellón [22] #botplus,#farmaciaasistencial [19] #farmaciaasistencial,#farmahelp [19] pasar,visitarnos Top Word Pairs in Tweet in G4:
[60] atención,farmacéutica [53] farmacéutica,domiciliaria [39] lolamura2,sefac_aldia [28] sefac_aldia,cofmadrid [21] cofmadrid,#infarma2023 [19] quién,cómo [18] plataformas,registro [16] sefac_aldia,#infarma2023 [15] cómo,lolamura2 [15] domiciliaria,quién Top Word Pairs in Tweet in G5:
[14] b09,03 [14] zona,b09 [10] #infarma2023,#infarma [9] carlos,treceño [8] esperem,#infarma2023 [8] punt,zona [8] tenim,l'stand [8] 03,esperem [8] #infarma,#convenidefarmaciadigne [8] oído,hablar Top Word Pairs in Tweet in G6:
[17] os,esperamos [15] espacio,ágora [12] #nestléinnova,#infarma2023 [12] disfagia,toma [12] toma,medicamentos [11] taller,disfagia [11] mesa,actualidad [10] #infarma2023,co [10] núria,jordà [9] hecho,posible Top Word Pairs in Tweet in G7:
[7] últimas,novedades [6] experiencias,compañeros [6] novedades,sector [6] intercambiando,experiencias [6] #farmacéuticosconiniciativa,infarma_es [6] juan_gavira,julylaineztroya [6] compañeros,toda [6] conocimiento,intercambiando [6] macarenapruiz,encuentran [6] toda,españa Top Word Pairs in Tweet in G8:
[3] os,esperamos [3] stand,f64 [3] infarma,stand [3] nuestro,stand [3] f64,#infarma2023 [2] estamos,infarma [2] #,ven [2] vemos,infarma [2] #barcelona,#infarma2023 Top Word Pairs in Tweet in G9:
[27] #infarma,#infarma2023 [25] stand,f46 [16] #infarmabarcelona,#farmacia [14] infarma_es,teva_es [12] #infarma2023,#infarmabarcelona [12] teva_es,boticonsejo [12] ishoobudhrani,juntosxtusalud [11] #farmacia,#infarma [11] boticonsejo,ishoobudhrani [11] #infarma,#infarmabarcelona Top Word Pairs in Tweet in G10:
[13] stand,e20 [11] nuestro,stand [7] os,esperamos [6] acto,inaugural [5] matilde,sánchez [5] nuestros,proyectos [4] vistazo,regalito [4] enviado,lubets_es [4] echad,vistazo [4] algunas,golosinas 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 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 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:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: