The graph represents a network of 2,933 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 Friday, 16 September 2022 at 07:24 UTC.
The requested start date was Friday, 16 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 11-day, 6-hour, 23-minute period from Sunday, 04 September 2022 at 06:18 UTC to Thursday, 15 September 2022 at 12:42 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 : 2933
Unique Edges : 9565
Edges With Duplicates : 54603
Total Edges : 64168
Number of Edge Types : 5
Retweet : 6364
MentionsInRetweet : 38013
Replies to : 1063
Mentions : 18725
Tweet : 3
Self-Loops : 166
Reciprocated Vertex Pair Ratio : 0.0233642031354034
Reciprocated Edge Ratio : 0.0456615603004673
Connected Components : 45
Single-Vertex Connected Components : 44
Maximum Vertices in a Connected Component : 2889
Maximum Edges in a Connected Component : 64168
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.092191
Graph Density : 0.00196603173466165
Modularity : 0.192198
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 2,933 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 Friday, 16 September 2022 at 07:24 UTC.
The requested start date was Friday, 16 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 11-day, 6-hour, 23-minute period from Sunday, 04 September 2022 at 06:18 UTC to Thursday, 15 September 2022 at 12:42 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:
[3952] pmoindia,hmoindia [2926] ips_nupurprasad,pmoindia [2436] hmoindia,nia_india [2118] nia_india,dir_ed [1393] dir_ed,indsupremecourt [972] indsupremecourt,cvcindia [863] ir_crb,railminindia [709] ashwinivaishnaw,cvcindia [669] cvcindia,drjitendrasingh [592] swrrly,gmswr Top Word Pairs in Tweet in G1:
[179] pmoindia,narendramodi [156] bjp4india,jpnadda [156] jpnadda,pmoindia [149] udayraj3102,bjp4india [138] pmoindia,hmoindia [130] doppw_india,darpg_goi [129] gpalaniappan,dot_india [129] dot_india,rntata2000 [129] rntata2000,doppw_india [125] chinnasamypitc2,gpalaniappan Top Word Pairs in Tweet in G2:
[3807] pmoindia,hmoindia [2926] ips_nupurprasad,pmoindia [2436] hmoindia,nia_india [2117] nia_india,dir_ed [1393] dir_ed,indsupremecourt [972] indsupremecourt,cvcindia [667] cvcindia,drjitendrasingh [467] massive,coverup [447] drjitendrasingh,massive [430] coverup,inssrcase Top Word Pairs in Tweet in G3:
[52] क,र [31] र,म [31] म,म [29] र,क [29] क,य [28] स,म [27] ashwinivaishnaw,ir_crb [27] प,स [24] µà,ªà [23] स,क Top Word Pairs in Tweet in G4:
[704] ashwinivaishnaw,cvcindia [592] swrrly,gmswr [543] cvcindia,ir_crb [540] ir_crb,railminindia [523] railminindia,swrrly [490] airtuindia,ashwinivaishnaw [471] #swr_gdceexam_scam,#cancel_swr_gdce_exam [464] #cancel_swr_gdce_exam,#reconduct_swrgdce_exam [404] gmswr,airtuswr [404] airtuswr,mastrammeenaji Top Word Pairs in Tweet in G5:
[307] narendramodi,pmoindia [307] pmoindia,ashwinivaishnaw [307] ashwinivaishnaw,darshanajardosh [307] darshanajardosh,ir_crb [307] ir_crb,railminindia [304] irtcsonergkp,narendramodi [302] railminindia,gmner_gkp [302] gmner_gkp,ccmner [294] ccmner,cvcindia [155] cvcindia,drâ Top Word Pairs in Tweet in G6:
[8] dashrathrabar16,raghavendrazeus [8] parimaljadav5,pk82466652 [8] pk82466652,amoljounjat [8] amoljounjat,vedprak13632988 [8] vedprak13632988,akumar1202 [7] pareshjaani,syedjawdhath [7] rbi,dasshaktikanta [7] kumarajaysingh1,dashrathrabar16 [6] vinod37131796,akumar1202 [6] akumar1202,parimaljadav5 Top Word Pairs in Tweet in G7:
[5] dot_india,trai [5] arpbks,anjalis09068541 [4] dmpurnea,darbhangasingh [4] trai,rajpolicehelp [4] rajpolicehelp,cmhelpdesk [4] cmhelpdesk,pmoindia [4] pmoindia,cvcindia [4] cvcindia,airtel_presence [4] airtel_presence,airtelindia [3] anjalis09068541,utkarshsingh_ Top Word Pairs in Tweet in G8:
[7] delhipolice,cpdelhi [7] pmoindia,narendramodi [5] ªà,ªà [5] priyankagandhi,ch_anilkumarinc [5] cvcindia,india_nhrc [5] ªà,µà [5] ˆ,ªà [5] gagandeepnews,delhipolice [5] hmoindia,amitshah [4] µà,œà Top Word Pairs in Tweet in G10:
[9] sho,follow [9] follow,rule [9] rule,regulations [9] regulations,reached [9] reached,previous [9] previous,sp [9] sp,girishsanner [8] pfa_anticruelty,sho [8] girishsanner,alwaâ Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G10:
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 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: