The graph represents a network of 3,879 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 3/13/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 14 March 2023 at 20:51 UTC.
The tweets in the network were tweeted over the 2188-day, 22-hour, 53-minute period from Thursday, 16 March 2017 at 00:57 UTC to Monday, 13 March 2023 at 23:50 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 : 3879
Unique Edges : 2445
Edges With Duplicates : 6999
Total Edges : 9444
Number of Edge Types : 9
Retweet : 1994
MentionsInRetweet : 2771
Tweet : 2189
Mentions : 1329
Replies to : 488
MentionsInReplyTo : 353
MentionsInQuote : 155
Quote : 150
MentionsInQuoteReply : 15
Self-Loops : 2940
Reciprocated Vertex Pair Ratio : 0.0567113137646053
Reciprocated Edge Ratio : 0.107335490830636
Connected Components : 1055
Single-Vertex Connected Components : 570
Maximum Vertices in a Connected Component : 1004
Maximum Edges in a Connected Component : 2753
Maximum Geodesic Distance (Diameter) : 28
Average Geodesic Distance : 9.856805
Graph Density : 0.000246497285538387
Modularity : 0.422957
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,879 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 3/13/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 14 March 2023 at 20:51 UTC.
The tweets in the network were tweeted over the 2188-day, 22-hour, 53-minute period from Thursday, 16 March 2017 at 00:57 UTC to Monday, 13 March 2023 at 23:50 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:
[404] #taiwan,#internationalrelations [402] #jakarta,#embassy [402] top,notch [402] #embassy,#taiwan [402] #singapor,#jakarta [402] #internationalrelations,#finance [402] #hongkong,#singapor [402] notch,consulting [402] #finance,#gdp [402] consulting,#hongkong Top Word Pairs in Tweet in G1:
[404] #taiwan,#internationalrelations [402] consulting,#hongkong [402] #embassy,#taiwan [402] top,notch [402] #singapor,#jakarta [402] #finance,#gdp [402] notch,consulting [402] #hongkong,#singapor [402] #jakarta,#embassy [402] #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:
[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 G5:
[27] #womeninscience,day [20] week,glorious [20] full,week [20] year,#womeninscience [20] day,ibei [20] researchers,#internationalstudies [20] glorious,researchers [20] dedicates,full [20] ibei,dedicates [19] ibei,year Top Word Pairs in Tweet in G6:
[28] #saudi,iranrelations [28] #unitedstatesinternationalrelations,#muslimsandislam [28] #thenewyorktimes,#world [28] #internationalrelations,#unitedstatesinternationalrelations [28] iranrelations,#internationalrelations [28] #world,#saudi [26] time,read [19] read,summary [19] #financialtimes,#world [19] #world,#internationalrelations Top Word Pairs in Tweet in G7:
[19] #arctic,#governance [13] wrote,book [13] those,interested [13] book,available [13] available,springernature [13] publication,alert [13] springernature,those [13] interested,#arctic [13] alert,wrote [12] beatesteinveg,publication Top Word Pairs in Tweet in G8:
[17] international,relations [16] international,environmental [16] academic,position [16] full,time [16] sciencepo,ulb [16] position,international [16] hiring,full [16] time,academic [16] ulb,hiring [16] relations,international Top Word Pairs in Tweet in G9:
[20] south,asian [17] international,relations [14] two,available [14] politics,international [14] affairs,join [14] hiring,two [14] join,great [14] international,affairs [14] little,team [14] great,little 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 [7] #internationalrelations,past Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G6:
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: