The graph represents a network of 214 Twitter users whose recent tweets contained "NATOMeeting", 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 13:57 UTC.
The tweets in the network were tweeted over the 9-day, 2-hour, 58-minute period from Wednesday, 13 November 2019 at 10:20 UTC to Friday, 22 November 2019 at 13:19 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 : 214
Unique Edges : 417
Edges With Duplicates : 114
Total Edges : 531
Self-Loops : 19
Reciprocated Vertex Pair Ratio : 0.0157657657657658
Reciprocated Edge Ratio : 0.0310421286031042
Connected Components : 11
Single-Vertex Connected Components : 7
Maximum Vertices in a Connected Component : 194
Maximum Edges in a Connected Component : 510
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.622905
Graph Density : 0.00989425650476065
Modularity : 0.488674
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 214 Twitter users whose recent tweets contained "NATOMeeting", 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 13:57 UTC.
The tweets in the network were tweeted over the 9-day, 2-hour, 58-minute period from Wednesday, 13 November 2019 at 10:20 UTC to Friday, 22 November 2019 at 13:19 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 : NATOMeeting
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:
[151] #natomeeting,london [125] foreign,ministers [84] preparations,#natomeeting [67] secretary,general [64] security,challenges [59] #nato,foreign [57] #natolondon,#natomeeting [56] nato,#formin [54] general,jensstoltenberg [51] leaders,meeting Top Word Pairs in Tweet in G1:
[69] #natomeeting,london [60] foreign,ministers [54] secretary,general [49] preparations,#natomeeting [43] general,jensstoltenberg [39] press,conference [38] finalise,preparations [34] #nato,foreign [34] ministers,meet [34] meet,today Top Word Pairs in Tweet in G2:
[49] foreign,ministers [46] #natomeeting,london [39] nato,#formin [38] security,challenges [36] leaders,meeting [34] #natolondon,#natomeeting [32] nato,leaders [31] two,weeks [31] weeks,uk [31] uk,host Top Word Pairs in Tweet in G3:
[22] #natomeeting,london [18] w,grudniu [18] grudniu,powitamy [18] powitamy,liderów [18] liderów,nato [18] nato,w [18] w,tym [18] tym,polski [18] polski,w [18] w,miejscu Top Word Pairs in Tweet in G4:
[12] foreign,ministers [12] #natomeeting,london [11] read,more [10] #nato,foreign [8] ministers,meeting [8] meeting,prepare [8] prepare,#natomeeting [8] london,discuss [8] discuss,progress [8] progress,fairer Top Word Pairs in Tweet in G6:
[7] leaders,meeting [4] #nato,foreign [4] foreign,ministers [4] glad,meet [4] meet,minister [4] minister,armed [4] armed,forces [4] forces,florence_parly [4] florence_parly,margins [4] margins,#govtechsummit Top Word Pairs in Tweet in G8:
[7] ohne,#usa [7] #usa,keine [7] keine,sicherheit [7] sicherheit,europa [7] europa,beugen [7] beugen,uns [7] uns,sicherheitspolitischer [7] sicherheitspolitischer,hegemonie [7] hegemonie,#frankreich [7] #frankreich,mehr Top Word Pairs in Tweet in G9:
[4] looking,forward [4] forward,seeing [4] seeing,women [4] women,peace [4] peace,secuirty [4] secuirty,prioritised [4] prioritised,agenda [4] agenda,nato [4] nato,leaders [4] leaders,meeting Top Word Pairs in Tweet in G10:
[3] eu,aspire [3] aspire,become [3] become,true [3] true,geopolitical [3] geopolitical,power [3] power,nato [3] nato,remain [3] remain,backbone [3] backbone,security [3] security,both Top Replied-To in Entire Graph:
Top Replied-To in G5:
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 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: