The graph represents a network of 2,020 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, 11 October 2021 at 07:15 UTC.
The requested start date was Monday, 11 October 2021 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, 10-hour, 2-minute period from Monday, 27 September 2021 at 02:58 UTC to Sunday, 10 October 2021 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 : 2020
Unique Edges : 4238
Edges With Duplicates : 10374
Total Edges : 14612
Number of Edge Types : 4
Retweet : 1206
MentionsInRetweet : 5619
Replies to : 581
Mentions : 7206
Self-Loops : 79
Reciprocated Vertex Pair Ratio : 0.0160950661853189
Reciprocated Edge Ratio : 0.031680236861584
Connected Components : 14
Single-Vertex Connected Components : 13
Maximum Vertices in a Connected Component : 2007
Maximum Edges in a Connected Component : 14612
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.311997
Graph Density : 0.00165629490140693
Modularity : 0.334033
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 2,020 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, 11 October 2021 at 07:15 UTC.
The requested start date was Monday, 11 October 2021 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, 10-hour, 2-minute period from Monday, 27 September 2021 at 02:58 UTC to Sunday, 10 October 2021 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:
[360] _à,_à [243] ssr,killers [198] cvcindia,dir_ed [186] #à,_à [179] œà,_à [178] ªà,_à [178] _à,œà [149] sushant,disha [144] क,र [139] cbi,timesup Top Word Pairs in Tweet in G1:
[243] ssr,killers [148] sushant,disha [139] cbi,timesup [139] timesup,ssr [125] sushant,singh [125] singh,rajput [120] cvcindia,narendramodi [113] narendramodi,amitshah [104] ssr,case [101] tinassrian,cbi Top Word Pairs in Tweet in G2:
[52] ashwinivaishnaw,railminindia [47] incometaxindia,cvcindia [47] cvcindia,dir_ed [45] hmoindia,ashwinivaishnaw [44] railminindia,dgrpf [31] #rrc_pryj_gdce_रद,द_ह [30] prakash90801921,pmoindia [28] dgrpf,incometaxindia [27] pmoindia,rssorg [26] pmoindia,hmoindia Top Word Pairs in Tweet in G3:
[84] pmoindia,ashwinivaishnaw [80] ashwinivaishnaw,darshanajardosh [80] darshanajardosh,raosahebdanve [80] raosahebdanve,cvcindia [80] cvcindia,dir_ed [79] dir_ed,railminindia [79] railminindia,gmner_gkp [73] irtcsonergkp,pmoindia [67] क,र [62] gmner_gkp,sdgm_ner Top Word Pairs in Tweet in G4:
[64] cpdelhi,delhipolice [63] delhipolice,dcptcr [63] dcptcr,ltgovdelhi [63] ltgovdelhi,pmoindia [63] pmoindia,hmoindia [50] hmoindia,nbtdilli [47] nbtdilli,delhicomplaint [47] cpcb_official,cvcindia [46] delhicomplaint,cpcb_official [35] र,ड Top Word Pairs in Tweet in G5:
[25] janpratinidhi_,mohan_rngnathan [25] mohan_rngnathan,kaila_arvind [25] kaila_arvind,tms190 [25] tms190,foundationhands [25] foundationhands,pmoindia [25] pmoindia,ushapadhee1996 [25] ushapadhee1996,hardeepspuri [15] kayveejayarao,janpratinidhi_ [12] hardeepspuri,awakeni [12] air,india Top Word Pairs in Tweet in G6:
[10] raghuraju_mp,tv5newsnow [9] cvcindia,governorap [7] cvcindia,indiancag [7] త,ర [7] pibvijayawada,cvcindia [7] governorap,incometaxindia [7] incometaxindia,indiancag [7] indiancag,raghuraju_mp [7] raghuraju_mp,mhpsap [7] mhpsap,mohammedkhadar8 Top Word Pairs in Tweet in G7:
[21] theofficialsbi,cvcindia [21] cvcindia,finminindia [21] finminindia,cmohry [21] cmohry,rbi [21] rbi,drt [21] drt,rashtrapatibhvn [21] rashtrapatibhvn,pmoindia [19] pmoindia,nsitharaman [15] narendramodi,pmayurban [15] pmayurban,amitshah Top Word Pairs in Tweet in G8:
[8] uppolice,deoriapolice [8] deoriapolice,indiainjoburg [8] indiainjoburg,indiaincapetown [8] indiaincapetown,drsjaishankar [8] drsjaishankar,indiandiplomacy [8] jkd6544,himansunayak01 [8] himansunayak01,hrw [8] hrw,unocha [8] unocha,india_nhrc [8] india_nhrc,cvcindia Top Word Pairs in Tweet in G9:
[23] र,क [22] cvcindia,actindiaoffice [21] ashwinivaishnaw,cvcindia [21] actindiaoffice,railminindia [21] railminindia,ir_crb [21] ir_crb,railwhispers [21] railwhispers,yatrisangh [15] ज,ल [15] satyamev4jayate,ashwinivaishnaw [14] ल,स Top Word Pairs in Tweet in G10:
[4] ªà,µà [4] ios,pos [3] jakesullivan46,whnsc [3] whnsc,vonderleyen [3] vonderleyen,sanninoeu [3] sanninoeu,eucouncil [3] eucouncil,eu_commission [3] eu_commission,us_fda [3] us_fda,ema_news [3] ema_news,ansm Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: