The graph represents a network of 3,938 Twitter users whose recent tweets contained "#InternationalRelations", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/6/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 07 February 2023 at 21:50 UTC.
The tweets in the network were tweeted over the 2153-day, 23-hour, 54-minute period from Thursday, 16 March 2017 at 00:57 UTC to Tuesday, 07 February 2023 at 00:52 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 3938
Unique Edges : 2309
Edges With Duplicates : 7367
Total Edges : 9676
Number of Edge Types : 9
Tweet : 1919
Retweet : 2440
MentionsInRetweet : 3435
Mentions : 1045
MentionsInReplyTo : 213
Replies to : 368
MentionsInQuote : 126
Quote : 123
MentionsInQuoteReply : 7
Self-Loops : 2509
Reciprocated Vertex Pair Ratio : 0.0346835443037975
Reciprocated Edge Ratio : 0.0670418399804257
Connected Components : 915
Single-Vertex Connected Components : 481
Maximum Vertices in a Connected Component : 639
Maximum Edges in a Connected Component : 1783
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 5.635627
Graph Density : 0.000263610989385514
Modularity : 0.446912
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,938 Twitter users whose recent tweets contained "#InternationalRelations", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/6/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 07 February 2023 at 21:50 UTC.
The tweets in the network were tweeted over the 2153-day, 23-hour, 54-minute period from Thursday, 16 March 2017 at 00:57 UTC to Tuesday, 07 February 2023 at 00:52 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : #InternationalRelations
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:
[383] president,#putin [383] entire,architecture [383] radical,transformation [383] #putin,radical [383] #internationalrelations,accelerated [383] architecture,#internationalrelations [383] transformation,entire [382] russianembassy,president [382] accelerated,dev [374] #internationalrelations,#finance Top Word Pairs in Tweet in G1:
[374] #internationalrelations,#finance [373] consulting,#hongkong [373] #embassy,#taiwan [373] top,notch [373] #singapor,#jakarta [373] #taiwan,#internationalrelations [373] #finance,#gdp [373] notch,consulting [373] #hongkong,#singapor [373] #jakarta,#embassy Top Word Pairs in Tweet in G2:
[381] president,#putin [381] architecture,#internationalrelations [381] #putin,radical [381] entire,architecture [381] radical,transformation [381] #internationalrelations,accelerated [381] transformation,entire [380] accelerated,dev [380] russianembassy,president [4] président,#putin Top Word Pairs in Tweet in G3:
[105] come,work [105] global,governance [105] work,global [105] unit,wzb_berlin [105] opening,year [105] year,#postdocposition [105] wzb_berlin,opening [105] governance,unit [104] chrauh,come [104] #postdocposition,#internationalrelat Top Word Pairs in Tweet in G4:
[92] sacrifices,#endf [92] disappointment,sacrifices [92] #endf,ethiopia [92] gained,clarity [92] beauty,nov [92] nov,3rd [92] 3rd,disappointment [92] ethiopia,gained [91] kechepkirui,beauty [91] clarity,#internat Top Word Pairs in Tweet in G5:
[84] asantekotoko_sc,countrymansongo [84] #internationalrelations,#kotoko [84] nya_kotoko,#workmode [84] #workmode,#internationalrelations [84] #belize,asantekotoko_sc [84] countrymansongo,nya_kotoko [83] dentaa_show,#belize Top Word Pairs in Tweet in G6:
[20] international,relations [20] #hownottoguide,#internationalrelations [20] edited,#giga [20] #giga,president [13] still,free [13] until,11 [13] free,access [13] access,until [13] #internationalrelations,edited [13] 11,dec Top Word Pairs in Tweet in G7:
[56] grants,open [56] bipoc,scholars [56] book,proposal [56] proposal,grants [56] feb,next [56] scholars,working [56] next,cycle [56] cycle,book [56] applications,open [56] open,feb Top Word Pairs in Tweet in G8:
[23] positions,one [23] shefunipolitics,lectureship [23] join,shefunipolitics [23] #internationalrelations,one [23] lectureship,positions [23] one,#internationalrelations [22] one,#environmentalpolitic [22] biosec_erc,join [16] #tech,#internationalrelations [16] #science,#tech Top Word Pairs in Tweet in G9:
[16] dr,jaishankar [16] indian,foreign [15] political,science [15] foreign,minister [15] chemistry,introducing [15] introducing,indian [15] chose,political [15] career,coach [15] jaishankar,career [15] minister,dr Top Word Pairs in Tweet in G10:
[7] speaking,moscow [7] mgimo_en,algayerova [7] #internationalrelations,mgimo_en [7] institute,#internationalrelations [7] moscow,state [7] state,institute [7] calls,respect [7] respect,charter [7] algayerova,calls [6] charter,#interna Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G4:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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:
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Top Tweeters in G10: