The graph represents a network of 3,850 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 3/6/2023 5:00:36 PM. The network was obtained from Twitter on Tuesday, 07 March 2023 at 21:51 UTC.
The tweets in the network were tweeted over the 2181-day, 23-hour, 38-minute period from Thursday, 16 March 2017 at 00:57 UTC to Tuesday, 07 March 2023 at 00:36 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 : 3850
Unique Edges : 2606
Edges With Duplicates : 7001
Total Edges : 9607
Number of Edge Types : 9
Tweet : 2167
Retweet : 2082
MentionsInRetweet : 3105
Mentions : 1266
MentionsInReplyTo : 245
Replies to : 437
MentionsInQuote : 150
Quote : 147
MentionsInQuoteReply : 8
Self-Loops : 2898
Reciprocated Vertex Pair Ratio : 0.0512820512820513
Reciprocated Edge Ratio : 0.0975609756097561
Connected Components : 1041
Single-Vertex Connected Components : 568
Maximum Vertices in a Connected Component : 812
Maximum Edges in a Connected Component : 2284
Maximum Geodesic Distance (Diameter) : 25
Average Geodesic Distance : 8.41099
Graph Density : 0.000265611239890273
Modularity : 0.437786
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,850 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 3/6/2023 5:00:36 PM. The network was obtained from Twitter on Tuesday, 07 March 2023 at 21:51 UTC.
The tweets in the network were tweeted over the 2181-day, 23-hour, 38-minute period from Thursday, 16 March 2017 at 00:57 UTC to Tuesday, 07 March 2023 at 00:36 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:
[409] #taiwan,#internationalrelations [407] #jakarta,#embassy [407] top,notch [407] #embassy,#taiwan [407] #singapor,#jakarta [407] #internationalrelations,#finance [407] #hongkong,#singapor [407] notch,consulting [407] #finance,#gdp [407] consulting,#hongkong Top Word Pairs in Tweet in G1:
[409] #taiwan,#internationalrelations [407] consulting,#hongkong [407] #embassy,#taiwan [407] top,notch [407] #singapor,#jakarta [407] #finance,#gdp [407] notch,consulting [407] #hongkong,#singapor [407] #jakarta,#embassy [407] #internationalrelations,#finance Top Word Pairs in Tweet in G2:
[20] public,roundtable [20] carcerality',taking [20] cpdbisa,public [20] london,10 [20] place,kingscollegelon [20] 'refusing,carcerality' [20] register,cpdbisa [20] kingscollegelon,london [20] roundtable,'refusing [20] taking,place Top Word Pairs in Tweet in G3:
[91] sacrifices,#endf [91] disappointment,sacrifices [91] #endf,ethiopia [91] gained,clarity [91] beauty,nov [91] nov,3rd [91] 3rd,disappointment [91] ethiopia,gained [90] kechepkirui,beauty [90] clarity,#internat Top Word Pairs in Tweet in G4:
[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 G5:
[56] applications,open [56] open,bipoc [56] open,feb [56] feb,next [56] grants,open [56] book,proposal [56] next,cycle [56] cycle,book [56] bipoc,scholars [56] scholars,working Top Word Pairs in Tweet in G6:
[27] #womeninscience,day [20] week,glorious [20] full,week [20] ibei,dedicates [20] dedicates,full [20] year,#womeninscience [20] day,ibei [20] glorious,researchers [20] researchers,#internationalstudies [19] #internationalstudies,#internation Top Word Pairs in Tweet in G7:
[7] speaking,moscow [7] mgimo_en,algayerova [7] calls,respect [7] institute,#internationalrelations [7] #internationalrelations,mgimo_en [7] moscow,state [7] respect,charter [7] state,institute [7] algayerova,calls [6] unece,speaking Top Word Pairs in Tweet in G8:
[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 G9:
[19] #arctic,#governance [13] wrote,book [13] book,available [13] available,springernature [13] those,interested [13] alert,wrote [13] interested,#arctic [13] springernature,those [13] publication,alert [12] #governance,#interna Top Word Pairs in Tweet in G10:
[22] #internationalrelations,#narrative [22] #ewis2023,workshop [22] working,#internationalrelations [22] join,#ewis2023 [22] policy,narratives [22] foreign,policy [22] #narrative,join [22] workshop,foreign [21] hvanmeegdenburg,working [10] #submissions,#scholar Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
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 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: