The graph represents a network of 779 Twitter users whose tweets in the requested range contained "#InternationalRelations", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 23 June 2020 at 19:41 UTC.
The requested start date was Tuesday, 23 June 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 14-hour, 23-minute period from Tuesday, 09 June 2020 at 04:51 UTC to Monday, 22 June 2020 at 19:15 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 : 779
Unique Edges : 600
Edges With Duplicates : 1276
Total Edges : 1876
Number of Edge Types : 5
Retweet : 513
MentionsInRetweet : 819
Tweet : 230
Mentions : 297
Replies to : 17
Self-Loops : 244
Reciprocated Vertex Pair Ratio : 0.0384615384615385
Reciprocated Edge Ratio : 0.0740740740740741
Connected Components : 180
Single-Vertex Connected Components : 88
Maximum Vertices in a Connected Component : 225
Maximum Edges in a Connected Component : 690
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.131249
Graph Density : 0.00155924641373325
Modularity : 0.484335
NodeXL Version : 1.0.1.435
Data Import : The graph represents a network of 779 Twitter users whose tweets in the requested range contained "#InternationalRelations", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 23 June 2020 at 19:41 UTC.
The requested start date was Tuesday, 23 June 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 14-hour, 23-minute period from Tuesday, 09 June 2020 at 04:51 UTC to Monday, 22 June 2020 at 19:15 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 : GraphServerTwitterSearch
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:
[147] global,politics [146] lectureship,#internationalrelations [146] #internationalrelations,focus [146] focus,global [146] politics,#technology [146] #technology,kcl [146] kcl,warstudies [145] claudia_aradau,lectureship [93] much,disarray [93] disarray,seems Top Word Pairs in Tweet in G1:
[140] lectureship,#internationalrelations [140] #internationalrelations,focus [140] focus,global [140] global,politics [140] politics,#technology [140] #technology,kcl [140] kcl,warstudies [139] claudia_aradau,lectureship Top Word Pairs in Tweet in G2:
[23] #internationalrelations,#security [14] #beaconias,#upsc2020 [14] #upsc2020,#upsc2021 [14] #upsc2021,#ias [14] #ias,#dailymainsanswerwritingpractice [14] #dailymainsanswerwritingpractice,#currentaffairs [14] #currentaffairs,#polity [14] #polity,#governance [14] #governance,#constitution [14] #constitution,#internationalrelations Top Word Pairs in Tweet in G3:
[17] #internationalaffairs,#internationalrelations [11] #internationalrelations,#foreignaffairs [8] #internationalrelations,#foreignpolicy [7] russian,federation [7] #russia,#russian [6] road,g7 [6] g7,closed [6] closed,russian [6] federation,until [6] until,returns Top Word Pairs in Tweet in G4:
[22] full,professor [22] professor,#internationalrelations [22] #internationalrelations,#globalsouth [22] #globalsouth,university [22] university,bayreuth [22] bayreuth,co [22] co,v5tpoxa5vs [21] squirrelista,full [21] v5tpoxa5vs,whis [5] claudia_aradau,lectureship Top Word Pairs in Tweet in G5:
[24] special,issue [15] #politics,#internationalrelations [13] issue,policy [13] policy,making [13] making,designing [13] designing,added [13] added,value [13] value,design [13] design,thinking [13] thinking,#publicadministration Top Word Pairs in Tweet in G6:
[3] read,full [3] full,article [3] article,gt [3] gt,#unitedstates [3] #unitedstates,#trump [3] #trump,#internationalrelations [3] #internationalrelations,#power [3] #power,#hegemony [3] #power,#us [3] #us,#presidency Top Word Pairs in Tweet in G7:
[31] harry,dunn's [31] dunn's,father [31] father,calls [31] calls,#uk [31] #uk,swap [31] swap,prince [31] prince,andrew [31] andrew,anne [31] anne,sacoolas [31] sacoolas,#cia Top Word Pairs in Tweet in G8:
[18] intrelationsj,#onlinefirst [10] #onlinefirst,acmckeil [10] acmckeil,'on [10] 'on,concept [10] concept,international [10] international,disorder' [10] disorder',#internationalrelations [9] #internationalrelations,#int [8] international,law [6] #onlinefirst,andreas Top Word Pairs in Tweet in G9:
[15] find,next [15] next,step [15] step,academic [15] academic,career [15] career,#eustudies [15] #eustudies,#europeanstudies [15] #europeanstudies,#internationalrelations [12] #internationalrelations,study [10] mariag_unibath,find [10] study,renown Top Word Pairs in Tweet in G10:
[25] emerge,stabilizing [13] each,#canzuk [13] #canzuk,nation [13] nation,resisting [13] resisting,regional [13] regional,domination [13] domination,canzuk [13] canzuk,nations [13] nations,emerge [13] stabilizing,moderating Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Mentioned in G7:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: