The graph represents a network of 9,725 Twitter users whose recent tweets contained "NATO Syria", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 10,000 tweets. The network was obtained from Twitter on Monday, 11 November 2019 at 10:27 UTC.
The tweets in the network were tweeted over the 6-day, 15-hour, 58-minute period from Monday, 04 November 2019 at 18:11 UTC to Monday, 11 November 2019 at 10:10 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 : 9725
Unique Edges : 15219
Edges With Duplicates : 2305
Total Edges : 17524
Number of Edge Types : 4
Retweet : 8605
Replies to : 1006
Mentions : 7217
Tweet : 696
Self-Loops : 756
Reciprocated Vertex Pair Ratio : 0.0038227290397823
Reciprocated Edge Ratio : 0.00761634286451946
Connected Components : 546
Single-Vertex Connected Components : 288
Maximum Vertices in a Connected Component : 8390
Maximum Edges in a Connected Component : 16124
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.032368
Graph Density : 0.000163832840379037
Modularity : 0.734418
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 9,725 Twitter users whose recent tweets contained "NATO Syria", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 10,000 tweets. The network was obtained from Twitter on Monday, 11 November 2019 at 10:27 UTC.
The tweets in the network were tweeted over the 6-day, 15-hour, 58-minute period from Monday, 04 November 2019 at 18:11 UTC to Monday, 11 November 2019 at 10:10 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 : NATO Syria
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[2338] syria,nato [2024] foreign,policy [1919] hong,kong [1918] nato,hong [1918] kong,foreign [1918] foreign,secretary [1918] secretary,dominicraab [1918] dominicraab,foreign [1918] foreign,office [1918] office,ministerial Top Word Pairs in Tweet in G1:
[1911] syria,nato [1911] nato,hong [1911] hong,kong [1911] kong,foreign [1911] foreign,secretary [1911] secretary,dominicraab [1911] dominicraab,foreign [1911] foreign,office [1911] office,ministerial [1911] ministerial,team Top Word Pairs in Tweet in G2:
[319] ethnic,cleansing [216] northern,syria [183] cleansing,#kurds [179] human,rights [179] against,#kurds [172] secretary,general [169] nato,secretary [169] general,jens [150] syria,betrayal [149] brain,death Top Word Pairs in Tweet in G3:
[1406] much,damage [1406] damage,repair [1406] repair,macron [1406] macron,told [1406] told,economist [1406] economist,europe [1406] europe,longer [1406] longer,rely [1406] rely,united [1406] united,states Top Word Pairs in Tweet in G4:
[786] putin,trying [749] trump,hands [749] hands,syria [749] syria,putin [749] hand,lebanon [749] lebanon,putin [749] putin,decapitating [749] decapitating,fbi [749] fbi,cia [749] cia,putin Top Word Pairs in Tweet in G5:
[205] ethnic,cleansing [194] video,erdogan's [194] erdogan's,campaigns [194] campaigns,ethnic [194] cleansing,against [194] against,#kurds [194] #kurds,amp [194] continues,north [194] north,#syria [194] #syria,please Top Word Pairs in Tweet in G6:
[51] nato,ally [48] ethnic,cleansing [45] ally,turkey [44] brain,death [43] leaked,memo [43] memo,confirms [43] confirms,nato [42] turkey,pursuing [41] cleansing,syria [38] pursuing,intentioned Top Word Pairs in Tweet in G7:
[103] nato,syria [71] france,started [71] started,question [71] question,usefulness [71] usefulness,nato [71] nato,france [71] france,right [71] right,trampling [71] trampling,values [71] values,interests Top Word Pairs in Tweet in G8:
[90] lead,putin [89] roads,lead [88] putin,russia [85] russia,amp [85] trump,roads [84] pelosi,trump [84] putin,crimea [84] crimea,sanctions [84] amp,election [84] putin,nato Top Word Pairs in Tweet in G9:
[32] european,commission [32] commission,still [32] still,deny [32] deny,truth [32] truth,#syria [32] #syria,regime [32] regime,change [32] change,efforts [32] efforts,failed [32] failed,okay Top Word Pairs in Tweet in G10:
[168] appreciate,won [168] won,revolutionary [168] revolutionary,war [168] war,french [168] french,think [168] think,paid [168] paid,wwii [168] wwii,macron [168] macron,upset [168] upset,perceived Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
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 G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
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: