The graph represents a network of 377 Twitter users whose recent tweets contained "@tech_eu", 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, 22 November 2019 at 17:55 UTC.
The tweets in the network were tweeted over the 9-day, 4-hour, 30-minute period from Wednesday, 13 November 2019 at 13:21 UTC to Friday, 22 November 2019 at 17:52 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 : 377
Unique Edges : 1202
Edges With Duplicates : 1350
Total Edges : 2552
Self-Loops : 3
Reciprocated Vertex Pair Ratio : 0.0852660300136426
Reciprocated Edge Ratio : 0.157133878064111
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 377
Maximum Edges in a Connected Component : 2552
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.311956
Graph Density : 0.0112238275297703
Modularity : 0.341892
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 377 Twitter users whose recent tweets contained "@tech_eu", 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, 22 November 2019 at 17:55 UTC.
The tweets in the network were tweeted over the 9-day, 4-hour, 30-minute period from Wednesday, 13 November 2019 at 13:21 UTC to Friday, 22 November 2019 at 17:52 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 : @tech_eu
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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[47] #europe,#startup [32] #startup,tech_eu [31] nnovick,adegeler [27] tech_eu,podcast [26] 5,million [26] adegeler,tech_eu [26] lafrenchtechen,arcticstartup [22] r3coms,quoscient [22] quoscient,cerbair [22] cerbair,loriotio Top Word Pairs in Tweet in G1:
[20] 5,million [17] 2,million [16] 3,5 [15] million,seed [14] check,out [13] raises,2 [13] vía,tech_eu [13] raises,3 [13] collaboration,platform [12] second,fund Top Word Pairs in Tweet in G2:
[18] tech_eu,podcast [18] adegeler,tech_eu [18] lafrenchtechen,arcticstartup [16] nnovick,adegeler [14] tech_eu,slushhq [13] atomico,sophiabendz [12] googlecloud,startups [11] nnovick,tech_eu [11] slushhq,tech_eu [11] adegeler,anniemusgrove Top Word Pairs in Tweet in G3:
[44] #europe,#startup [32] #startup,tech_eu [5] siftedeu,eu_startups [5] coming,soon [5] soon,hola [5] hola,españa [5] españa,startupvillageu [5] startupvillageu,icex_ [5] icex_,startupeu [5] startupeu,euroinvestnews Top Word Pairs in Tweet in G4:
[15] oculavis,wonderflow [15] r3coms,quoscient [15] quoscient,cerbair [15] cerbair,loriotio [15] zelrosai,minnatech [15] mecuris,sidekickhealth [13] tech_eu,article [13] article,adegeler [11] best,10 [11] 10,#deeptech Top Word Pairs in Tweet in G5:
[15] #nordicmade,#nordictech [11] #icemade,#siliconfjord [11] #sthlmtech,#gbgtech [11] #estotech,#startinlatvia [11] tech_eu,#nordicmade [8] #cphftw,#helyes [8] #helyes,#icemade [8] #siliconfjord,#sthlmtech [8] #startinlatvia,#ltstartups [7] #nordictech,#cphftw Top Word Pairs in Tweet in G7:
[9] hello,darkness [6] #slush19,hello [6] darkness,old [6] old,friend [6] friend,lafrenchtechen [6] lafrenchtechen,tech_eu [6] tech_eu,first [6] first,side [6] side,event [6] event,great Top Word Pairs in Tweet in G9:
[7] adegeler,tech_eu [7] tech_eu,slushhq [5] bencostantini,nnovick [5] nnovick,adegeler [5] natali_t,obrien [4] obrien,samsungsverige [4] slushhq,samsungnext [3] samsungnext,natali_t [2] co_matter,bencostantini [2] slushhq,natali_t Top Word Pairs in Tweet in G10:
[2] #savethedate,live [2] live,demonstration [2] demonstration,first [2] first,#galileo [2] #galileo,enabled [2] enabled,autonomous [2] autonomous,vehicle [2] vehicle,made [2] made,eu [2] eu,27 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 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: