The graph represents a network of 638 Twitter users whose recent tweets contained "#eShowBCN22", 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 Thursday, 05 May 2022 at 06:47 UTC.
The tweets in the network were tweeted over the 7-day, 21-hour, 21-minute period from Wednesday, 27 April 2022 at 08:52 UTC to Thursday, 05 May 2022 at 06:13 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 : 638
Unique Edges : 1433
Edges With Duplicates : 2138
Total Edges : 3571
Number of Edge Types : 5
Retweet : 1320
Tweet : 217
MentionsInRetweet : 1354
Mentions : 658
Replies to : 22
Self-Loops : 224
Reciprocated Vertex Pair Ratio : 0.0449704142011834
Reciprocated Edge Ratio : 0.0860702151755379
Connected Components : 8
Single-Vertex Connected Components : 5
Maximum Vertices in a Connected Component : 628
Maximum Edges in a Connected Component : 3559
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.247078
Graph Density : 0.00434540828629499
Modularity : 0.2486
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 638 Twitter users whose recent tweets contained "#eShowBCN22", 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 Thursday, 05 May 2022 at 06:47 UTC.
The tweets in the network were tweeted over the 7-day, 21-hour, 21-minute period from Wednesday, 27 April 2022 at 08:52 UTC to Thursday, 05 May 2022 at 06:13 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 : #eShowBCN22
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:
[531] marketing,digital [376] ecommerce,marketing [333] big,data [302] #eshowbcn22,eshowesp [215] digital,big [197] feria,líder [170] data,ia [154] líder,ecommerce [121] evento,ecommerce [114] eshowesp,#eshowbcn22 Top Word Pairs in Tweet in G1:
[309] marketing,digital [235] ecommerce,marketing [226] big,data [149] #eshowbcn22,eshowesp [144] digital,big [138] feria,líder [132] data,ia [112] líder,ecommerce [81] eshowesp,#eshowbcn22 [60] evento,ecommerce Top Word Pairs in Tweet in G2:
[194] marketing,digital [126] ecommerce,marketing [104] #eshowbcn22,eshowesp [87] big,data [64] digital,big [59] evento,ecommerce [57] mejor,evento [52] feria,líder [47] mayor,feria [40] líder,ecommerce Top Word Pairs in Tweet in G3:
[33] #eshowbcn22,eshowesp [25] top12,cuentas [21] #eshowbcn22,#tfmbarcelona [18] marketing,digital [17] nuestro,stand [17] eshowesp,#eshowbcn22 [16] #eshowbcn22,#influencers [16] zurichseguros,juanma [16] juanma,rivero [15] cuenta,cómo Top Word Pairs in Tweet in G4:
[29] #clinicseo,#eshowbcn22 [13] colección,privada [12] privada,roturas [10] umbrales,seo [10] #eshowbcn22,#clinicseo [9] mayo,#eshowbcn22 [9] tenemos,#clinicseo [9] visita,guiada [9] guiada,colección [9] roturas,google Top Word Pairs in Tweet in G5:
[9] marketing,digital [9] pabellón,fira_barcelona [8] ecommerce,marketing [7] ven,visitarnos [6] mayo,fira_barcelona [6] 150,expositores [6] big,data [5] data,ai [5] días,mayo [5] arrancamos,primer Top Word Pairs in Tweet in G6:
[11] #eshowbcn22,eshowesp [6] mayor,feria [6] feria,#ecommerce [6] #ecommerce,#digitalmarketing [6] #digitalmarketing,españa [6] estar,día [6] día,sucede [6] sucede,industria [6] industria,sigue [6] quieres,descubrir Top Word Pairs in Tweet in G7:
[7] #eshow,#eshowbcn22 [7] #eshowbcn22,#digitalmarketing [7] #digitalmarketing,#ecommerce [6] carlosblanco,dixit [6] dixit,#eshow [6] #digitalmarketing,#investing [6] #investing,#startups [6] #startups,#business [5] #eshowbcn22,#eshow [5] #eshow,#digitalmarketing Top Word Pairs in Tweet in G8:
[2] come,hi [2] hi,following [2] following,events [2] events,throughout [2] throughout,europe [2] europe,month [2] month,consnetcomm [2] consnetcomm,eshowesp [2] eshowesp,ecommerceberlin [2] ecommerceberlin,etailexpo Top Word Pairs in Tweet in G9:
[4] join,year's [4] year's,#bigdata [4] #bigdata,#artificialintelligence [4] #artificialintelligence,world [4] world,wednesday [4] wednesday,4th [4] 4th,thursday [4] thursday,5th [4] 5th,30 [4] 30,19 Top Word Pairs in Tweet in G10:
[4] jueves,estaremos [4] estaremos,eshow [4] eshow,barcelona [4] barcelona,eshowesp [4] eshowesp,nuestra [4] nuestra,co [4] co,founder [4] founder,cmo [4] cmo,miriampelaez [4] miriampelaez,nuestro Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
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 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: