The graph represents a network of 407 Twitter users whose recent tweets contained "#egp30", 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 Saturday, 09 November 2019 at 07:42 UTC.
The tweets in the network were tweeted over the 7-day, 14-hour, 40-minute period from Friday, 01 November 2019 at 16:55 UTC to Saturday, 09 November 2019 at 07:36 UTC.
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 : 409
Unique Edges : 971
Edges With Duplicates : 1001
Total Edges : 1972
Number of Edge Types : 4
Mentions : 1088
Retweet : 651
Replies to : 177
Tweet : 56
Self-Loops : 56
Reciprocated Vertex Pair Ratio : 0,0562283737024221
Reciprocated Edge Ratio : 0,106470106470106
Connected Components : 6
Single-Vertex Connected Components : 2
Maximum Vertices in a Connected Component : 400
Maximum Edges in a Connected Component : 1964
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2,446997
Graph Density : 0,00731698547389616
Modularity : 0,310684
NodeXL Version : 1.0.1.421
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=215845
Data Import : The graph represents a network of 407 Twitter users whose recent tweets contained "#egp30", 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 Saturday, 09 November 2019 at 07:42 UTC.
The tweets in the network were tweeted over the 7-day, 14-hour, 40-minute period from Friday, 01 November 2019 at 16:55 UTC to Saturday, 09 November 2019 at 07:36 UTC.
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 : #egp30
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:
[69] 30th,council [62] mariaohisalo,#egp30 [49] council,meeting [45] green,party [44] young,people [43] position,several [43] several,issues [40] #egp30,#greenwave [37] interior,minister [37] tampere,finland Top Word Pairs in Tweet in G1:
[29] position,several [29] several,issues [29] surdeuropa,#egp30 [26] 30th,council [25] sybrenkooistra,#egp30 [22] vanessa_vash,solidarity [22] solidarity,greens [22] greens,#egp30 [22] #egp30,climate [22] climate,activist Top Word Pairs in Tweet in G2:
[23] make,sure [20] 30th,council [17] following,string [17] string,electoral [17] electoral,wins [17] wins,greens [17] greens,europe [17] europe,historic [17] historic,results [17] results,gained Top Word Pairs in Tweet in G3:
[22] grüne,innenministerin [19] #egp30,#greenwave [15] mariaohisalo,#egp30 [12] innenpolitik,geht [12] geht,grün [12] grün,finnland [12] finnland,mariaohisalo [12] mariaohisalo,34 [12] 34,grüne [12] innenministerin,kämpft Top Word Pairs in Tweet in G4:
[24] young,people [18] europeangreens,thegreenparty [16] egp,committee [13] minister,interior [12] tampere,finland [12] green,party [12] #teamjean,#egp30 [11] iiris_suomela,#egp30 [11] mariaohisalo,#egp30 [11] member,parliament Top Word Pairs in Tweet in G5:
[8] european,greens [7] lively,panel [7] panel,discussion [7] discussion,intersection [7] intersection,science [7] science,politics [7] politics,session [7] session,thanks [7] thanks,audience [7] audience,active Top Word Pairs in Tweet in G6:
[11] ministerpetere,#egp30 [10] finland,today [9] green,party [9] party,leader [9] leader,clarebaileygpni [9] clarebaileygpni,council [9] council,european [9] european,greens [9] greens,finland [9] today,working Top Word Pairs in Tweet in G7:
[15] degli,europeangreens [9] siamo,#tampere [9] #tampere,finlandia [9] finlandia,30esimo [9] 30esimo,concilio [9] concilio,europeo [9] europeo,degli [9] europeangreens,#tampere [9] #tampere,finland [9] finland,30th Top Word Pairs in Tweet in G8:
[14] eiropas,zaļās [14] zaļās,partijas [14] #egp,#egp30 [7] kuras,partijas [7] partijas,#latvijā [7] #latvijā,patiešām [7] patiešām,pārstāv [7] pārstāv,zaļās [7] zaļās,vērtības [7] vērtības,pirmajā Top Word Pairs in Tweet in G9:
[8] western,balkans [8] ulrikelunacek,#egp30 [5] proposal,rumeliobserver [5] rumeliobserver,esi_eu [5] esi_eu,include [5] include,countries [5] countries,western [5] balkans,european [5] european,economic [5] economic,area Top Word Pairs in Tweet in G10:
[4] basic,income [3] #basicincome,increased [3] increased,participants' [3] participants',well [3] well,being [3] being,trust [3] trust,affecting [3] affecting,employment [3] employment,rates [3] rates,lkorpelai 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 G4:
Top Replied-To in G5:
Top Replied-To in G6:
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: