The graph represents a network of 17,296 Twitter users whose recent tweets contained ""They are a wealthy country and should be at"", 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, 22 August 2019 at 15:33 UTC.
The tweets in the network were tweeted over the 21-hour, 22-minute period from Wednesday, 21 August 2019 at 17:32 UTC to Thursday, 22 August 2019 at 14:55 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 : 17296
Unique Edges : 17304
Edges With Duplicates : 12
Total Edges : 17316
Number of Edge Types : 4
Retweet : 17226
Tweet : 57
Replies to : 8
Mentions : 25
Self-Loops : 57
Reciprocated Vertex Pair Ratio : 5.79508576726936E-05
Reciprocated Edge Ratio : 0.000115894999130788
Connected Components : 51
Single-Vertex Connected Components : 47
Maximum Vertices in a Connected Component : 17236
Maximum Edges in a Connected Component : 17246
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.002318
Graph Density : 5.76898030289537E-05
Modularity : 0.008715
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[17297] wealthy,country [17296] 35,gdp [17296] gdp,nato [17296] nato,spending [17296] spending,wealthy [17295] denmark,35 [17294] record,denmark [17274] country,protect [17274] protect,europe [17274] europe,28 Top Word Pairs in Tweet in G1:
[17218] record,denmark [17218] denmark,35 [17218] 35,gdp [17218] gdp,nato [17218] nato,spending [17218] spending,wealthy [17218] wealthy,country [17214] 28,nato [17214] nato,countries [17213] country,protect Top Word Pairs in Tweet in G2:
[50] wealthy,country [49] 35,gdp [49] gdp,nato [49] nato,spending [49] spending,wealthy [48] record,denmark [48] denmark,35 [48] country,protect [48] protect,europe [48] europe,28 Top Word Pairs in Tweet in G3:
[17] record,denmark [17] denmark,35 [17] 35,gdp [17] gdp,nato [17] nato,spending [17] spending,wealthy [17] wealthy,country [13] country,president [13] president,trump [13] trump,#denmark Top Word Pairs in Tweet in G4:
[2] dailycaller,usambdenmark [2] donald,trump [2] hong,kong [2] record,denmark [2] denmark,35 [2] 35,gdp [2] gdp,nato [2] nato,spending [2] spending,wealthy [2] wealthy,country Top Word Pairs in Tweet in G5:
[5] record,denmark [5] denmark,35 [5] 35,gdp [5] gdp,nato [5] nato,spending [5] spending,wealthy [5] wealthy,country [5] country,protect [5] protect,europe [5] europe,28 Top Word Pairs in Tweet in G6:
[3] record,denmark [3] denmark,35 [3] 35,gdp [3] gdp,nato [3] nato,spending [3] spending,wealthy [3] wealthy,country [3] country,protect [3] protect,europe [3] europe,28 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G7:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G4:
Top Mentioned in G8:
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: