The graph represents a network of 1,025 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, 01 July 2022 at 07:24 UTC.
The requested start date was Friday, 01 July 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 3-day, 3-hour, 31-minute period from Monday, 27 June 2022 at 09:29 UTC to Thursday, 30 June 2022 at 13:01 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 : 1025
Unique Edges : 3115
Edges With Duplicates : 51757
Total Edges : 54872
Number of Edge Types : 5
Replies to : 253
Mentions : 8471
MentionsInRetweet : 39309
Retweet : 6838
Tweet : 1
Self-Loops : 21
Reciprocated Vertex Pair Ratio : 0.0138912707940319
Reciprocated Edge Ratio : 0.0274018944519621
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 1025
Maximum Edges in a Connected Component : 54872
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.211011
Graph Density : 0.00563262195121951
Modularity : 0.088841
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,025 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, 01 July 2022 at 07:24 UTC.
The requested start date was Friday, 01 July 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 3-day, 3-hour, 31-minute period from Monday, 27 June 2022 at 09:29 UTC to Thursday, 30 June 2022 at 13:01 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:
[6073] ips_nupurprasad,pmoindia [5903] pmoindia,hmoindia [5036] hmoindia,nia_india [4252] nia_india,dir_ed [2326] dir_ed,indsupremecourt [1304] indsupremecourt,cvcindia [812] geet_205,thread [787] cvcindia,drjitendrasingh [436] murder,ips_nupurprasad [360] june,ips_nupurprasad Top Word Pairs in Tweet in G1:
[6064] ips_nupurprasad,pmoindia [5768] pmoindia,hmoindia [5027] hmoindia,nia_india [4243] nia_india,dir_ed [2320] dir_ed,indsupremecourt [1303] indsupremecourt,cvcindia [811] geet_205,thread [786] cvcindia,drjitendrasingh [436] murder,ips_nupurprasad [360] june,ips_nupurprasad Top Word Pairs in Tweet in G2:
[25] ashwinivaishnaw,ir_crb [24] cvcindia,pmoindia [23] railwhispers,drm_umb [23] drm_umb,railwaynorthern [23] railwaynorthern,ashwinivaishnaw [23] ir_crb,gm_nrly [23] gm_nrly,cvcindia [23] pmoindia,railsamachar [23] railsamachar,irssea_ir [20] pmoindia,narendramodi Top Word Pairs in Tweet in G3:
[5] cmomaharashtra,officeofut [4] cpmumbaipolice,cmomaharashtra [4] officeofut,dhanajiherlekar [4] dhanajiherlekar,pmoindia [4] pmoindia,narcoticsbureau [4] narcoticsbureau,mumbaincb [4] mumbaincb,cvcindia [4] cvcindia,dgovcbic [4] dgovcbic,incometaxindia [4] incometaxindia,mhadamitra Top Word Pairs in Tweet in G4:
[16] क,र [14] द,ल [14] ल,ल [14] र,द [10] hmoindia,pmoindia [9] pmoindia,cmodelhi [9] cmodelhi,narendramodi [9] narendramodi,msisodia [9] msisodia,cvcindia [9] cvcindia,ltgovdelhi Top Word Pairs in Tweet in G5:
[135] pmoindia,hmoindia [100] quoted,tweet [83] pdrani15,contd [59] media,#ssrdrives [59] #ssrdrives,sharing [59] sharing,media [59] media,content [59] shared,quoted [59] tweet,pmoindia [52] hmoindia,adgpi Top Word Pairs in Tweet in G6:
[18] cibil_official,vedprak13632988 [18] vedprak13632988,dashrathrabar16 [18] dashrathrabar16,harish32932 [15] paisabazaar_in,rajeev1077 [15] rajeev1077,techindo21 [15] techindo21,cibil_official [15] harish32932,kumarajaysingh1 [12] pk82466652,paisabazaar_in [5] ल,न [4] vinod37131796,akumar1202 Top Word Pairs in Tweet in G7:
[4] ଶ,କ [4] ତ,ର [2] statutory,body [2] body,called [2] called,nhrc [2] ନକଲ,ଶ [2] କ,ଷକ [2] ଷକ,ଶ [2] କ,ଷୟ [2] ଷୟ,ତ Top Word Pairs in Tweet in G8:
[8] क,ख [4] भ,जप [4] जप,न [4] न,त [4] त,क [4] ख,ल [4] ल,स [4] स,घ [4] घ,स [4] स,कर Top Word Pairs in Tweet in G9:
[3] cvcindia,pmoindia [2] pmoindia,indsupremecourt Top Word Pairs in Tweet in G10:
[2] #windhoek,element [2] element,teestasetalvad [2] teestasetalvad,found [2] found,#republic [2] #republic,violations [2] violations,india [2] india,ungeneva [2] ungeneva,commonsleader 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 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: