The graph represents a network of 2,285 Twitter users whose recent tweets contained "cvcindia", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Saturday, 24 October 2020 at 17:17 UTC.
The tweets in the network were tweeted over the 8-day, 13-hour, 32-minute period from Friday, 16 October 2020 at 02:42 UTC to Saturday, 24 October 2020 at 16:14 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 : 2369
Unique Edges : 8730
Edges With Duplicates : 15820
Total Edges : 24550
Number of Edge Types : 5
Mentions : 10544
Replies to : 1030
Retweet : 1595
MentionsInRetweet : 11327
Tweet : 54
Self-Loops : 111
Reciprocated Vertex Pair Ratio : 0.0143598615916955
Reciprocated Edge Ratio : 0.0283131502643698
Connected Components : 4
Single-Vertex Connected Components : 2
Maximum Vertices in a Connected Component : 2365
Maximum Edges in a Connected Component : 24545
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.816025
Graph Density : 0.00209027357877084
Modularity : 0.326094
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 2,285 Twitter users whose recent tweets contained "cvcindia", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Saturday, 24 October 2020 at 17:17 UTC.
The tweets in the network were tweeted over the 8-day, 13-hour, 32-minute period from Friday, 16 October 2020 at 02:42 UTC to Saturday, 24 October 2020 at 16:14 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 : TwitterSearch
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:
[502] legal,foundation [498] railminindia,nerailwaygkp [325] piyushgoyal,railminindia [311] pmoindia,hmoindia [309] pmoindia,piyushgoyaloffc [307] cvcindia,pmoindia [307] pmo_namo,pmoindia [307] piyushgoyaloffc,piyushgoyal [307] nerailwaygkp,gmner_gkp [307] gmner_gkp,cvcindia Top Word Pairs in Tweet in G1:
[498] legal,foundation [277] pmoindia,hmoindia [276] cvcindia,pmoindia [260] swarajyamag,ips_association [260] ips_association,cvcindia [251] general,consent [251] root,corruption [249] one,more [249] more,state [249] state,beyond Top Word Pairs in Tweet in G2:
[56] भ,रत [54] membership,fee [53] kudos,rti [53] rti,team [53] team,rti_we [53] rti_we,exposing [53] exposing,iba_org_in [53] iba_org_in,unregistered [53] unregistered,illegal [53] illegal,body Top Word Pairs in Tweet in G3:
[209] क,र [122] अध,क [112] य,क [107] र,य [104] च,र [90] रष,ट [87] क,य [82] भ,रष [75] र,क [64] ट,च Top Word Pairs in Tweet in G4:
[498] railminindia,nerailwaygkp [325] piyushgoyal,railminindia [309] pmoindia,piyushgoyaloffc [307] pmo_namo,pmoindia [307] piyushgoyaloffc,piyushgoyal [307] nerailwaygkp,gmner_gkp [307] gmner_gkp,cvcindia [286] cvcindia,karanyadav_up [274] #clear_alp_tech_standby,#clear_rrb_je_standby [274] #clear_rrb_je_standby,#complete_rrb_joining Top Word Pairs in Tweet in G5:
[73] भ,रत [39] सतर,क [39] क,भ [39] रत,सम [39] सम,द [39] द,ध [39] ध,भ [39] vigilant,india [39] india,prosperous [39] prosperous,india Top Word Pairs in Tweet in G6:
[88] teamwcl,cvcindia [66] coalindiahq,joshipralhad [66] joshipralhad,coalministry [65] cvcindia,cvo_wcl [65] cvo_wcl,coalindiahq [65] coalministry,pibmumbai [65] pibmumbai,dpe_goi [65] dpe_goi,psuscope [65] psuscope,mygovindia [65] mygovindia,mishrarajivr Top Word Pairs in Tweet in G7:
[9] र,ध [9] ध,करण [5] प,र [5] ह,द [5] एड,_प [5] _प,र [4] vdavaranasi,adgzonevaranasi [4] adgzonevaranasi,ips_association [4] ips_association,bprdindia [4] bprdindia,ipf_org Top Word Pairs in Tweet in G8:
[7] sscosindia,gladiatordinesh [7] gladiatordinesh,marinerwaive [7] marinerwaive,grittysaaru [7] grittysaaru,rajivnavycoder [7] rajivnavycoder,rajeshwarikori [7] rajeshwarikori,rajnavy1009 [7] rajnavy1009,pankajnavy5 [7] coronationlio1,roger_407 [7] roger_407,cosmiclaws_ [6] pettyofficernk,surinmahan Top Word Pairs in Tweet in G9:
[10] eduminofindia,ugc_india [9] univofdelhi,studyatdu [7] pmoindia,hmoindia [6] vpsecretariat,drrpnishank [6] drrpnishank,eduminofindia [6] ugc_india,cvcindia [6] doptgoi,pibhrd [6] corruption,univofdelhi [6] letter,vc [4] corruption,case Top Word Pairs in Tweet in G10:
[3] intel,ibm [3] ibm,motorolaus [3] motorolaus,philips [3] philips,hp [3] hp,dell [3] dell,oracle [3] oracle,tcs [3] tcs,wipro [3] wipro,infosys [3] infosys,cisco Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G6:
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 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:
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Top Tweeters in G9:
Top Tweeters in G10: