The graph represents a network of 591 Twitter users whose recent tweets contained "#ecoc OR (european culture capital)", 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, 30 January 2020 at 13:52 UTC.
The tweets in the network were tweeted over the 7-day, 18-hour, 49-minute period from Wednesday, 22 January 2020 at 18:43 UTC to Thursday, 30 January 2020 at 13:32 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 : 595
Unique Edges : 769
Edges With Duplicates : 279
Total Edges : 1048
Number of Edge Types : 5
Mentions : 239
Retweet : 257
Tweet : 141
MentionsInRetweet : 368
Replies to : 43
Self-Loops : 142
Reciprocated Vertex Pair Ratio : 0,0203527815468114
Reciprocated Edge Ratio : 0,0398936170212766
Connected Components : 88
Single-Vertex Connected Components : 35
Maximum Vertices in a Connected Component : 350
Maximum Edges in a Connected Component : 645
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3,370839
Graph Density : 0,0021277197747786
Modularity : 0,601129
NodeXL Version : 1.0.1.423
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=220413
Data Import : The graph represents a network of 591 Twitter users whose recent tweets contained "#ecoc OR (european culture capital)", 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, 30 January 2020 at 13:52 UTC.
The tweets in the network were tweeted over the 7-day, 18-hour, 49-minute period from Wednesday, 22 January 2020 at 18:43 UTC to Thursday, 30 January 2020 at 13:32 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 : #ecoc OR (european culture capital)
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:
[472] european,capital [469] capital,culture [206] galway,2020 [170] 2020,european [126] opening,ceremony [121] culture,opening [116] south,park [114] ceremony,saturday [114] saturday,february [113] february,south Top Word Pairs in Tweet in G1:
[181] european,capital [181] capital,culture [117] opening,ceremony [110] 2020,european [110] culture,opening [109] galway,2020 [106] south,park [105] ceremony,saturday [105] saturday,february [105] february,south Top Word Pairs in Tweet in G2:
[31] european,capital [27] capital,culture [15] #tourism,operators [15] #european,capitals [15] capitals,#culture [12] opening,european [12] culture,complete [12] complete,programme [12] programme,#rijeka2020 [12] #rijeka2020,#epk2020 Top Word Pairs in Tweet in G3:
[71] galway,2020 [62] capital,culture [60] european,capital [37] 2020,european [34] 2020,stamp [34] available,offices [30] seen,galway2020's [30] galway2020's,stamp [30] stamp,nice [30] nice,see Top Word Pairs in Tweet in G4:
[38] european,capital [38] capital,culture [10] culture,2020 [10] added,2017 [10] 2017,european [10] culture,urban [10] urban,legends [10] legends,display [10] display,ishmael [10] ishmael,heidrick Top Word Pairs in Tweet in G5:
[36] european,capital [36] capital,culture [21] rijeka,european [17] beloved,rijeka [17] culture,coming [17] coming,cinemas [17] cinemas,near [17] near,very [17] very,happy [17] happy,one Top Word Pairs in Tweet in G6:
[7] citizens,guests [6] european,capital [6] capital,culture [6] #together,#ecoc [5] last,year [5] year,part [5] part,plovdiv2019 [5] plovdiv2019,european [5] culture,2019 [5] 2019,move Top Word Pairs in Tweet in G7:
[83] discover,#european [83] #european,#capital [83] #capital,#culture [83] #culture,2022 [83] 2022,great [83] great,article [83] article,deaf [83] deaf,travel [83] travel,blogger [83] blogger,billy Top Word Pairs in Tweet in G8:
[14] great,opportunity [14] opportunity,senior [14] senior,urology [14] urology,trainee [14] trainee,cct [14] cct,urologist [14] urologist,develop [14] develop,skills [14] skills,robotic [14] robotic,surgery Top Word Pairs in Tweet in G9:
[13] european,capital [13] capital,culture [5] galway,2020 [5] irish,stamp [5] stamp,celebrating [5] celebrating,galway [5] galway,european [5] culture,2020 [5] 2020,tasty [5] tasty,work Top Word Pairs in Tweet in G10:
[12] sometimes,great [12] great,food [12] food,culture [12] culture,history [12] history,located [12] located,outside [12] outside,country's [12] country's,capital Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G9:
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: