The graph represents a network of 2,815 Twitter users whose tweets in the requested range contained "cvcindia", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 12 September 2022 at 08:03 UTC.
The requested start date was Monday, 12 September 2022 at 00:01 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, 5-hour, 20-minute period from Monday, 29 August 2022 at 07:29 UTC to Sunday, 11 September 2022 at 12:50 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 : 2815
Unique Edges : 8887
Edges With Duplicates : 57452
Total Edges : 66339
Number of Edge Types : 5
MentionsInRetweet : 38447
Retweet : 6325
Mentions : 20423
Replies to : 1140
Tweet : 4
Self-Loops : 172
Reciprocated Vertex Pair Ratio : 0.0220892774965485
Reciprocated Edge Ratio : 0.0432237730751914
Connected Components : 44
Single-Vertex Connected Components : 43
Maximum Vertices in a Connected Component : 2772
Maximum Edges in a Connected Component : 66339
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 3.145104
Graph Density : 0.00196265563832702
Modularity : 0.170771
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 2,815 Twitter users whose tweets in the requested range contained "cvcindia", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 12 September 2022 at 08:03 UTC.
The requested start date was Monday, 12 September 2022 at 00:01 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, 5-hour, 20-minute period from Monday, 29 August 2022 at 07:29 UTC to Sunday, 11 September 2022 at 12:50 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 : cvcindia
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:
[4106] pmoindia,hmoindia [3525] ips_nupurprasad,pmoindia [2891] hmoindia,nia_india [2490] nia_india,dir_ed [1573] dir_ed,indsupremecourt [1034] indsupremecourt,cvcindia [734] ir_crb,railminindia [675] cvcindia,drjitendrasingh [468] swrrly,gmswr [467] massive,coverup Top Word Pairs in Tweet in G1:
[143] pmoindia,hmoindia [135] doppw_india,darpg_goi [134] gpalaniappan,dot_india [134] dot_india,rntata2000 [134] rntata2000,doppw_india [130] chinnasamypitc2,gpalaniappan [128] darpg_goi,pmoindia [117] hmoindia,cvcindia [111] pmoindia,rashtrapatibhvn [74] paramasivanr1,chinnasamypitc2 Top Word Pairs in Tweet in G2:
[3955] pmoindia,hmoindia [3520] ips_nupurprasad,pmoindia [2888] hmoindia,nia_india [2485] nia_india,dir_ed [1571] dir_ed,indsupremecourt [1033] indsupremecourt,cvcindia [672] cvcindia,drjitendrasingh [467] massive,coverup [454] geet_205,thread [447] drjitendrasingh,massive Top Word Pairs in Tweet in G3:
[468] swrrly,gmswr [450] ashwinivaishnaw,cvcindia [432] cvcindia,ir_crb [429] ir_crb,railminindia [410] railminindia,swrrly [399] airtuindia,ashwinivaishnaw [373] #swr_gdceexam_scam,#cancel_swr_gdce_exam [369] #cancel_swr_gdce_exam,#reconduct_swrgdce_exam [319] gmswr,airtuswr [319] airtuswr,mastrammeenaji Top Word Pairs in Tweet in G4:
[309] narendramodi,pmoindia [305] pmoindia,ashwinivaishnaw [305] ashwinivaishnaw,darshanajardosh [305] darshanajardosh,ir_crb [305] ir_crb,railminindia [302] irtcsonergkp,narendramodi [300] railminindia,gmner_gkp [300] gmner_gkp,ccmner [292] ccmner,cvcindia [155] cvcindia,drâ Top Word Pairs in Tweet in G5:
[244] jpnadda,pmoindia [243] udayraj3102,bjp4india [243] bjp4india,jpnadda [243] pmoindia,narendramodi [177] ssukhmandra,udayraj3102 [174] mangoman842,abhilife23 [166] abhilife23,ssukhmandra [132] auto_kaka,mangoman842 [126] directorm_bpcl,hardeepspuri [120] navneettyagi23,directorm_bpcl Top Word Pairs in Tweet in G6:
[8] dashrathrabar16,raghavendrazeus [8] parimaljadav5,pk82466652 [8] pk82466652,amoljounjat [8] amoljounjat,vedprak13632988 [8] vedprak13632988,akumar1202 [7] kumarajaysingh1,dashrathrabar16 [6] raghavendrazeus,parimaljadav5 [6] akumar1202,amâ [6] #à,ÿà [6] ÿà,µà Top Word Pairs in Tweet in G7:
[42] nsitharaman,cvcindia [34] staff,car [29] rs,lac [29] lac,vehicle [29] vehicle,permitted [29] permitted,purchase [29] purchase,staff [29] car,commissioner [29] commissioner,above [29] above,ranks Top Word Pairs in Tweet in G8:
[10] dot_india,trai [8] trai,rajpolicehelp [8] pmoindia,cvcindia [8] airtel_presence,airtelindia [7] rajpolicehelp,cmhelpdesk [7] cvcindia,airtel_presence [6] cmhelpdesk,pmoindia [5] kushalgajendra1,dot_india [5] ªà,ˆà [4] airtelindia,very Top Word Pairs in Tweet in G9:
[6] स,स [6] स,एल [3] आख,र [3] र,कब [3] कब,तक [3] तक,यह [3] यह,ह [3] ह,ल [3] ल,रह [3] रह,ग Top Word Pairs in Tweet in G10:
[30] म,म [20] स,म [20] म,डल [20] ब,क [20] क,र [19] र,म [18] व,र [11] म,ल [11] द,र [11] स,ल Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
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Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: