The graph represents a network of 91 Twitter users whose recent tweets contained "#ecoc", 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 Wednesday, 29 January 2020 at 17:03 UTC.
The tweets in the network were tweeted over the 7-day, 9-hour, 34-minute period from Wednesday, 22 January 2020 at 06:33 UTC to Wednesday, 29 January 2020 at 16:07 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 : 91
Unique Edges : 113
Edges With Duplicates : 55
Total Edges : 168
Number of Edge Types : 5
Tweet : 27
Mentions : 47
MentionsInRetweet : 60
Retweet : 26
Replies to : 8
Self-Loops : 28
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 18
Single-Vertex Connected Components : 6
Maximum Vertices in a Connected Component : 42
Maximum Edges in a Connected Component : 96
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2,634664
Graph Density : 0,014041514041514
Modularity : 0,565893
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 91 Twitter users whose recent tweets contained "#ecoc", 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 Wednesday, 29 January 2020 at 17:03 UTC.
The tweets in the network were tweeted over the 7-day, 9-hour, 34-minute period from Wednesday, 22 January 2020 at 06:33 UTC to Wednesday, 29 January 2020 at 16:07 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
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:
[13] smart,city [8] #together,#ecoc [8] #ecoc,#plovdiv2019 [8] first,lab [8] lab,connect [8] connect,#creativeindustry [8] #creativeindustry,#tourism [8] #tourism,operators [8] operators,#european [8] #european,capitals Top Word Pairs in Tweet in G1:
[7] first,lab [7] lab,connect [7] connect,#creativeindustry [7] #creativeindustry,#tourism [7] #tourism,operators [7] operators,#european [7] #european,capitals [7] capitals,#culture [7] #culture,launched [7] launched,today Top Word Pairs in Tweet in G2:
[2] preziosità,passato [2] passato,scoperta [2] scoperta,futuro [2] futuro,capitale [2] capitale,europea [2] europea,cultura [2] cultura,2019 [2] 2019,#openfuture [2] #openfuture,#matera2019 [2] #matera2019,#ecoc Top Word Pairs in Tweet in G3:
[6] #together,#ecoc [5] #ecoc,#plovdiv2019 [4] 00,pm [3] exhibition,selected [3] selected,plovdiv [3] plovdiv,municipality [3] municipality,fund [3] fund,graphics [3] graphics,represents [3] represents,116 Top Word Pairs in Tweet in G4:
[4] deptahg,josephamadigan [4] private,company [3] ctribune,galwaycoco [3] galwaycoco,deptahg [3] city,council [2] josephamadigan,private [2] company,limited [2] limited,guarantee [2] guarantee,registered [2] registered,charity Top Word Pairs in Tweet in G5:
[13] smart,city [8] tampere,smart [8] city,week [7] #ecoc,#tampereregion2026 [5] welcome,tampere [5] week,25th [5] 25th,january [5] january,great [5] great,festival [5] festival,presents Top Word Pairs in Tweet in G6:
[3] first,time [3] time,eu_h2020 [3] eu_h2020,project [3] project,materahub [3] materahub,explore [3] explore,innovative [3] innovative,methodologies [3] methodologies,measure [3] measure,assess [3] assess,impact Top Word Pairs in Tweet in G7:
[6] die,europäische [6] europäische,jury [6] jury,empfehlungen [6] empfehlungen,die [6] die,vorauswahl [6] vorauswahl,wettbewerb [6] wettbewerb,titel [6] titel,#kulturhauptstadt [6] #kulturhauptstadt,europas [6] europas,2025 Top Word Pairs in Tweet in G8:
[2] matera2019,preziosità [2] preziosità,passato [2] passato,scoperta [2] scoperta,futuro [2] futuro,capitale [2] capitale,europea [2] europea,cultura [2] cultura,2019 [2] 2019,#openfuture [2] #openfuture,#matera2019 Top Word Pairs in Tweet in G10:
[2] interesting,initiative [2] initiative,launched [2] launched,#schungfabrik [2] #schungfabrik,#téiteng [2] #téiteng,lay [2] lay,foundations [2] foundations,sustainable [2] sustainable,network [2] network,preserving [2] preserving,amp Top Replied-To in Entire Graph:
Top Replied-To in G4:
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 G6:
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: