The graph represents a network of 604 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, 02 March 2021 at 19:43 UTC.
The requested start date was Tuesday, 02 March 2021 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 22-hour, 26-minute period from Tuesday, 16 February 2021 at 02:23 UTC to Tuesday, 02 March 2021 at 00:49 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 : 604
Unique Edges : 405
Edges With Duplicates : 952
Total Edges : 1357
Number of Edge Types : 5
Retweet : 341
MentionsInRetweet : 473
Mentions : 186
Tweet : 348
Replies to : 9
Self-Loops : 362
Reciprocated Vertex Pair Ratio : 0.0504504504504504
Reciprocated Edge Ratio : 0.0960548885077187
Connected Components : 195
Single-Vertex Connected Components : 92
Maximum Vertices in a Connected Component : 58
Maximum Edges in a Connected Component : 182
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.248511
Graph Density : 0.00160071606646678
Modularity : 0.451741
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 604 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, 02 March 2021 at 19:43 UTC.
The requested start date was Tuesday, 02 March 2021 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 22-hour, 26-minute period from Tuesday, 16 February 2021 at 02:23 UTC to Tuesday, 02 March 2021 at 00:49 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:
[68] #dard,#dard2018 [68] #dard2018,#diplomasi [65] day,tarihte [65] tarihte,bugün [65] bugün,#tarihtebugün [65] #tarihtebugün,#onthisday [65] #diplomasi,#tarih [53] ap,news [51] #onthisday,#dard [51] #tarih,#diplomasitarihi Top Word Pairs in Tweet in G1:
[53] ap,news [42] #generalnews,#governmentandpolitics [27] #governmentandpolitics,#internationalrelations [16] #europe,#generalnews [14] #beaconias,#beacon [14] #beacon,#ias [14] #ias,#cse [14] #cse,#upscias [14] #upscias,#csepre [14] #csepre,#csemains Top Word Pairs in Tweet in G2:
[21] #internationalrelations,apply [19] politics_oxford,job [18] academic,community [17] nuffieldcollege,stjohnsox [17] apply,join [17] join,uniofoxford's [17] uniofoxford's,academic [15] job,#vacancy [15] #vacancy,associate [15] associate,professorships Top Word Pairs in Tweet in G3:
[2] द,र [2] st,stephen's [2] stephen's,centre [2] centre,advanced [2] advanced,learning [2] learning,#scal [2] #scal,partnership [2] partnership,global [2] global,dialogue [2] dialogue,forum Top Word Pairs in Tweet in G4:
[30] postdoctoral,researcher [27] researcher,erc [27] erc,disintegration [27] disintegration,effects [27] effects,attempts [27] attempts,withdraw [27] withdraw,international [27] international,institutions [24] ecpr,postdoctoral [3] #jobs,#internationalrelations Top Word Pairs in Tweet in G5:
[19] international,relations [16] job,shadowing [8] #dirco,host [8] host,job [8] shadowing,mentorship [8] mentorship,program [8] program,under [8] under,theme [8] theme,international [8] relations,world Top Word Pairs in Tweet in G6:
[15] enough,#internationalrelations [15] #internationalrelations,training [15] training,city [15] city,leaders [15] leaders,go [15] go,abroad [15] abroad,see [15] see,networkedcities [15] networkedcities,article [14] micheleacuto,enough Top Word Pairs in Tweet in G7:
[12] hpm,#sheikhhasina [12] #sheikhhasina,today [12] today,courtesy [12] courtesy,meeting [12] meeting,newly [12] newly,appointed [12] appointed,high [12] high,commissioner [12] commissioner,#maldives [12] #maldives,#bangladesh Top Word Pairs in Tweet in G8:
[9] jipa,editor [9] editor,chief [9] chief,director [9] director,consortium [9] consortium,indo [9] indo,pacific [9] pacific,researchers [9] researchers,dr [9] dr,ernest [9] ernest,gunasekara Top Word Pairs in Tweet in G9:
[4] march,2021 [4] #osteuropa,#internationalrelations [4] #putin,#russland [3] #putin,#bundesrepublik [3] #bundesrepublik,#russland [3] dr,iulia [3] iulia,sabina [3] sabina,joja [3] joja,cristina [3] cristina,gherasimov Top Word Pairs in Tweet in G10:
[14] vsc,glad [14] glad,host [14] host,iyervval [14] iyervval,abhijit [14] abhijit,iyer [14] iyer,mitra [14] mitra,ji [14] ji,enriching [14] enriching,session [14] session,economics Top Replied-To in Entire Graph:
Top Replied-To in G5:
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: