The graph represents a network of 210 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 Friday, 08 November 2019 at 12:29 UTC.
The tweets in the network were tweeted over the 6-day, 19-hour, 32-minute period from Friday, 01 November 2019 at 16:55 UTC to Friday, 08 November 2019 at 12:28 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 : 212
Unique Edges : 452
Edges With Duplicates : 269
Total Edges : 721
Number of Edge Types : 4
Mentions : 427
Retweet : 239
Tweet : 26
Replies to : 29
Self-Loops : 26
Reciprocated Vertex Pair Ratio : 0,0547667342799189
Reciprocated Edge Ratio : 0,103846153846154
Connected Components : 3
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 209
Maximum Edges in a Connected Component : 719
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2,337957
Graph Density : 0,0116247876240723
Modularity : 0,365854
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 210 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 Friday, 08 November 2019 at 12:29 UTC.
The tweets in the network were tweeted over the 6-day, 19-hour, 32-minute period from Friday, 01 November 2019 at 16:55 UTC to Friday, 08 November 2019 at 12:28 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:
[52] 30th,council [43] position,several [43] several,issues [41] council,meeting [30] climate,emergency [28] tampere,finland [28] make,sure [26] #egp30,council [24] meeting,green [23] following,string Top Word Pairs in Tweet in G1:
[32] position,several [32] several,issues [22] 30th,council [20] climate,emergency [17] council,meeting [17] council,working [17] working,voting [17] voting,number [17] number,resolutions [17] resolutions,outline Top Word Pairs in Tweet in G2:
[10] party,leader [9] iiris_suomela,#egp30 [8] mariaohisalo,#egp30 [8] green,party [7] finnish,greens [6] european,greens [6] finland,today [6] green,european [5] #egp30,council [5] tampere,finland Top Word Pairs in Tweet in G3:
[18] following,string [18] string,electoral [18] electoral,wins [18] wins,greens [18] greens,europe [18] europe,historic [18] historic,results [18] results,gained [18] gained,#greenwave [18] #greenwave,swept Top Word Pairs in Tweet in G4:
[10] one,day [10] 30th,council [9] climate,change [8] council,one [8] day,away [8] away,delighted [8] delighted,finland [8] finland,world [8] world,leader [8] leader,fight Top Word Pairs in Tweet in G5:
[12] europeangreens,thegreenparty [7] jeanlambertldn,egp [7] egp,committee [7] #teamjean,#egp30 [6] global,greens [6] greens,coordination [6] #egp30,council [6] supporting,jeanlambertldn [6] committee,20 [6] 20,years Top Word Pairs in Tweet in G6:
[9] tampere,green [7] committee,member [7] member,orastynkkynen [7] orastynkkynen,tampere [7] green,local [7] local,councillor [7] councillor,1997 [7] 1997,welcomes [7] welcomes,#egp30 [7] #egp30,participants Top Word Pairs in Tweet in G7:
[6] siamo,#tampere [6] #tampere,finlandia [6] finlandia,30esimo [6] 30esimo,concilio [6] concilio,europeo [6] europeo,degli [6] degli,europeangreens [6] europeangreens,#tampere [6] #tampere,finland [6] finland,30th Top Word Pairs in Tweet in G8:
[10] council,meeting [8] europeangreens,council [7] tampere,finland [6] 30th,council [5] meeting,tampere [5] meeting,#egp30 [5] delegates,europeangreens [5] europeangreens,30th [3] make,sure [3] council,tampere Top Word Pairs in Tweet in G9:
[5] european,greens [4] 30th,council [3] starting,30th [3] council,european [3] greens,tampere [3] tampere,finland [3] finland,#egp30 [3] #egp30,zieloni [2] during,last [2] last,speech Top Word Pairs in Tweet in G10:
[5] basic,income [4] #basicincome,increased [4] increased,participants' [4] participants',well [4] well,being [4] being,trust [4] trust,affecting [4] affecting,employment [4] employment,rates [4] rates,lkorpelai 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 G5:
Top Replied-To in G6:
Top Replied-To in G8:
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: