The graph represents a network of 10,028 Twitter users whose recent tweets contained "#Portugal", 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, 27 January 2020 at 05:43 UTC.
The tweets in the network were tweeted over the 8-day, 0-hour, 26-minute period from Sunday, 19 January 2020 at 01:58 UTC to Monday, 27 January 2020 at 02:24 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 : 10028
Unique Edges : 12633
Edges With Duplicates : 7709
Total Edges : 20342
Number of Edge Types : 5
Retweet : 4949
Tweet : 5256
MentionsInRetweet : 7228
Mentions : 2440
Replies to : 469
Self-Loops : 5413
Reciprocated Vertex Pair Ratio : 0.00959853100742843
Reciprocated Edge Ratio : 0.0190145502645503
Connected Components : 2357
Single-Vertex Connected Components : 1562
Maximum Vertices in a Connected Component : 4994
Maximum Edges in a Connected Component : 12822
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 5.494194
Graph Density : 0.000120297454551212
Modularity : 0.611714
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 10,028 Twitter users whose recent tweets contained "#Portugal", 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, 27 January 2020 at 05:43 UTC.
The tweets in the network were tweeted over the 8-day, 0-hour, 26-minute period from Sunday, 19 January 2020 at 01:58 UTC to Monday, 27 January 2020 at 02:24 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 : #Portugal
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:
[803] herdade,foz [803] foz,represa [803] style,tradition [799] tradition,together [797] represa,keeping [797] keeping,style [730] olha,quem [730] quem,comigo [730] comigo,tomando [730] tomando,uma Top Word Pairs in Tweet in G1:
[116] #lisbon,#portugal [103] #lisboa,#portugal [82] #porto,#portugal [59] #lisbon,#lisboa [51] #algarve,#portugal [45] #algarve,prepara [45] prepara,celebrar [45] celebrar,primer [45] primer,festival [45] festival,almendros Top Word Pairs in Tweet in G2:
[796] herdade,foz [796] foz,represa [796] style,tradition [792] tradition,together [790] represa,keeping [790] keeping,style [417] #alentejo,#portugal [230] #travel,#portugal [179] #portugal,#travel [169] together,#travel Top Word Pairs in Tweet in G3:
[729] olha,quem [729] quem,comigo [729] comigo,tomando [729] tomando,uma [729] uma,dando [729] dando,risada [729] risada,kkkkk [729] kkkkk,valeu [729] valeu,jorgejesus [729] jorgejesus,#flamengo Top Word Pairs in Tweet in G4:
[230] isabel,santos [211] mariofcenteno,bancodeportugal [176] em,#portugal [142] antoniocostapm,mariofcenteno [142] não,podem [142] titularidade,estado [126] #portugal,#brasil [121] ouve,#carlos_wilde [121] #brasil,#galiza [107] best,spot Top Word Pairs in Tweet in G5:
[404] #linceibérico,lynx [404] lynx,pardinus [404] pardinus,encuentra [404] encuentra,grave [404] grave,peligro [404] peligro,extinción [404] extinción,actualmente [404] actualmente,sobrevive [404] sobrevive,#españa [404] #españa,núcleos Top Word Pairs in Tweet in G6:
[546] #dreamwinremember,#letsgovamos [546] #seleçãonacionalandebol,#portugal [534] #portugal,#ehfeuro2020 [525] #ehfeuro2020,#vamoscomtudo [467] #vamoscomtudo,#somosportugal [455] #letsgovamos,#seleçãonacionalandebol [435] #somosportugal,#supereuropeus [435] #supereuropeus,#andebol [352] #andebol,#jogossantacasa [311] #jogossantacasa,#prozis Top Word Pairs in Tweet in G7:
[180] dele,freguesia [106] em,#portugal [103] igreja,paroquial [103] paroquial,válega [103] válega,ovar [103] ovar,uma [103] uma,obra [103] obra,prima [103] prima,arte [103] arte,pintura Top Word Pairs in Tweet in G8:
[160] #photo,#photography [94] #madeira,beautiful [94] beautiful,fascinating [94] fascinating,island [94] island,island [94] island,comprises [94] comprises,stunning [94] stunning,natural [94] natural,scenery [94] scenery,massive Top Word Pairs in Tweet in G9:
[107] em,#portugal [104] #coronavirus,#wuhan [88] #wuhan,em [88] caso,suspeito [57] não,há [56] ℹ,não [56] não,restem [56] restem,dúvidas [56] dúvidas,não [56] há,nenhum Top Word Pairs in Tweet in G10:
[120] #italy,#france [120] #france,#spain [120] #spain,#germany [119] two,thumbs [119] thumbs,peggy [119] peggy,boyd [119] boyd,uk [119] uk,mother's [119] mother's,travel [119] travel,#memoir Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
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: