The graph represents a network of 4 176 Twitter users whose recent tweets contained "#EURegionsWeek OR #Regiostars", 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, 15 October 2020 at 12:22 UTC.
The tweets in the network were tweeted over the 8-day, 6-hour, 59-minute period from Wednesday, 07 October 2020 at 04:44 UTC to Thursday, 15 October 2020 at 11:44 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 : 4176
Unique Edges : 10873
Edges With Duplicates : 9489
Total Edges : 20362
Number of Edge Types : 5
Retweet : 6107
MentionsInRetweet : 8890
Mentions : 3867
Tweet : 1392
Replies to : 106
Self-Loops : 1439
Reciprocated Vertex Pair Ratio : 0,0670491803278689
Reciprocated Edge Ratio : 0,125672146259026
Connected Components : 262
Single-Vertex Connected Components : 179
Maximum Vertices in a Connected Component : 3686
Maximum Edges in a Connected Component : 19641
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3,685088
Graph Density : 0,000746667584371487
Modularity : 0,442773
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 4 176 Twitter users whose recent tweets contained "#EURegionsWeek OR #Regiostars", 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, 15 October 2020 at 12:22 UTC.
The tweets in the network were tweeted over the 8-day, 6-hour, 59-minute period from Wednesday, 07 October 2020 at 04:44 UTC to Thursday, 15 October 2020 at 11:44 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 : #EURegionsWeek OR #Regiostars
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:
[366] de,la [326] regions,cities [297] #euregionsweekuniversity,#euregionsweek [293] 14,10 [282] #euregionsweek,2020 [259] october,#euregionsweek [255] 15,october [235] #euregionsweek,session [218] built,europe [217] session,#euregionsweek Top Word Pairs in Tweet in G1:
[216] october,#euregionsweek [214] 14,10 [212] 15,october [205] built,europe [186] european,green [174] register,10 [170] #regiostars,awards [157] register,14 [152] join,live [150] européenne,2022 Top Word Pairs in Tweet in G2:
[91] core,recovery [89] #corplenary,#euregionsweek [86] regions,cities [77] cohesion,policy [68] de,la [64] local,authorities [63] authorities,line [63] line,defence [63] defence,crisis [63] crisis,hit Top Word Pairs in Tweet in G3:
[289] #euregionsweekuniversity,#euregionsweek [90] covid,19 [68] #euregionsweek,#cohesionpolicy [60] #euregionsweekuniversity,session [59] session,#euregionsweek [57] #euregions,#euregionsweek [56] cohesion,policy [56] #euregionsweekcollege,#euregionsweek [56] ron,boschma [53] eu,cohesion Top Word Pairs in Tweet in G4:
[87] #euregionsweek,2020 [82] topic,follow [82] follow,#euregionsweek [52] #greeneurope,topic [30] #empoweringcitizens,topic [10] built,europe [9] europe,episode [6] capitale,verte [6] verte,européenne [5] #covid19,#euregionsweek Top Word Pairs in Tweet in G5:
[21] 14,10 [21] southern,region [20] 10,2020 [20] 2020,16 [20] 16,30 [19] #epplocaldialogue,#eugreendeal [17] #euregionsweek,session [16] #euregionsweek,event [16] part,#euregionsweek [15] join,cohes3ion Top Word Pairs in Tweet in G6:
[100] 14,30 [70] de,la [69] communicating,science [67] en,la [61] 30,16 [61] 16,00 [48] eu_cor,euinmyregion [45] #regióndemurcia,en [44] de,divulgación [44] divulgación,científica Top Word Pairs in Tweet in G7:
[25] #euregionsweek,join [23] october,#euregionsweek [22] 16,30 [22] 30,18 [22] 18,00 [21] regions,cities [19] 22,october [18] #euregionsweek,session [18] register,attend [16] session,#euregionsweek Top Word Pairs in Tweet in G8:
[12] cohesion,workshop [12] #euregionsweek,workshop [12] #euvocationalskills,#euvocationalexcellence [10] en,el [9] ageing,population [8] #transitiontowork,#lifelonglearning [8] #euregionsweek,#transitiontowork [8] wrap,eu_selfie [8] eu_selfie,workshop [8] workshop,18th Top Word Pairs in Tweet in G9:
[40] de,la [35] de,las [34] en,la [32] regiones,ciudades [27] de,regiones [22] en,el [22] semana,europea [22] europea,de [21] la,semana [17] #euregionsweek,eu_cor Top Word Pairs in Tweet in G10:
[19] home,renovation [15] effective,home [15] citizens,engagement [14] londonclt,fmdv_org [14] workshop,'co [14] 'co,design [14] design,forms [14] forms,urban [14] #euregionsweek,workshop [13] local,level 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 G8:
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: