The graph represents a network of 643 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, 10 November 2020 at 20:09 UTC.
The requested start date was Tuesday, 10 November 2020 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, 17-hour, 34-minute period from Tuesday, 27 October 2020 at 03:44 UTC to Monday, 09 November 2020 at 21:18 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 : 643
Unique Edges : 437
Edges With Duplicates : 873
Total Edges : 1310
Number of Edge Types : 5
Mentions : 179
Retweet : 372
MentionsInRetweet : 494
Tweet : 248
Replies to : 17
Self-Loops : 279
Reciprocated Vertex Pair Ratio : 0.0426621160409556
Reciprocated Edge Ratio : 0.0818330605564648
Connected Components : 200
Single-Vertex Connected Components : 97
Maximum Vertices in a Connected Component : 60
Maximum Edges in a Connected Component : 169
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 2.492598
Graph Density : 0.00148011414562773
Modularity : 0.492915
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 643 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, 10 November 2020 at 20:09 UTC.
The requested start date was Tuesday, 10 November 2020 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, 17-hour, 34-minute period from Tuesday, 27 October 2020 at 03:44 UTC to Monday, 09 November 2020 at 21:18 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:
[53] suyash_diplomat,article [37] join,future [37] future,prospects [37] prospects,challenges [37] challenges,india [37] india,'2 [37] '2,2' [37] 2',ministerial [37] ministerial,dialogue [37] dialogue,#indousrelations Top Word Pairs in Tweet in G1:
[10] ap,news [10] #generalnews,#governmentandpolitics [8] #pakustv,#nyc [7] #politics,#internationalrelations [6] #economics,#internationalrelations [6] #nyc,#politics [5] #internationalrelations,#uon [5] #governmentandpolitics,#internationalrelations [4] territorial,disputes [4] disputes,africa Top Word Pairs in Tweet in G2:
[53] suyash_diplomat,article [35] foreign,secretary [35] secretary,india [22] article,shyam [22] shyam,saran [22] saran,sir [22] sir,former [22] former,foreign [22] india,china's [22] china's,long Top Word Pairs in Tweet in G3:
[12] international,political [12] political,sociology [12] audreyalejand,doingips [11] interested,international [11] sociology,launching [11] launching,ips [11] ips,cluster [11] cluster,gathering [11] gathering,network [11] network,around Top Word Pairs in Tweet in G4:
[37] join,future [37] future,prospects [37] prospects,challenges [37] challenges,india [37] india,'2 [37] '2,2' [37] 2',ministerial [37] ministerial,dialogue [37] dialogue,#indousrelations [33] gctcworld,join Top Word Pairs in Tweet in G5:
[5] president,elect [4] elect,joebiden [2] first',more [2] more,president [2] joebiden,fix [2] fix,reputation [2] reputation,abroad [2] abroad,read [2] read,latest [2] latest,ussc's Top Word Pairs in Tweet in G6:
[22] next,general [22] general,conference [22] conference,#ecprgc21 [22] #ecprgc21,scheduled [22] sep,polsciuibk [22] polsciuibk,open [20] ecpr,next [18] scheduled,31 [18] 31,aug [18] aug,sep Top Word Pairs in Tweet in G7:
[12] #upsc,#ias [11] xi,jinping [11] jinping,rolls [11] rolls,vision [11] vision,china [11] china,2035 [11] 2035,chinese [11] chinese,blue [11] blue,print [11] print,future Top Word Pairs in Tweet in G8:
[7] curious,#globalgovernance [7] #globalgovernance,role [7] role,#eu [7] #eu,multipolar [7] multipolar,world [7] world,sign [7] sign,#globe [7] #globe,newsletter [7] newsletter,never [6] globeeu,curious Top Word Pairs in Tweet in G9:
[14] think,secpompeo [14] secpompeo,wasting [14] wasting,time [14] time,go [14] go,straight [14] straight,#beijing [14] #beijing,meet [14] meet,actual [14] actual,leader [14] leader,#lka Top Word Pairs in Tweet in G10:
[4] defenseamericasâ,coord [4] coord,thethiagor [4] thethiagor,alongside [4] alongside,associate [4] associate,researchers [4] researchers,edited [4] edited,special [4] special,issue [3] defenseamericas,defenseamericasâ [3] issue,œ#crimeâ Top Replied-To in Entire Graph:
Top Replied-To in G5:
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: