The graph represents a network of 1,339 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, 20 May 2022 at 07:24 UTC.
The requested start date was Friday, 20 May 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 4-day, 5-hour, 21-minute period from Sunday, 15 May 2022 at 07:30 UTC to Thursday, 19 May 2022 at 12:52 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 : 1339
Unique Edges : 3615
Edges With Duplicates : 52049
Total Edges : 55664
Number of Edge Types : 4
Mentions : 8222
MentionsInRetweet : 40355
Retweet : 6714
Replies to : 373
Self-Loops : 35
Reciprocated Vertex Pair Ratio : 0.0166714573153205
Reciprocated Edge Ratio : 0.0327961549335595
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 1339
Maximum Edges in a Connected Component : 55664
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.245166
Graph Density : 0.00394846565772596
Modularity : 0.097708
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,339 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, 20 May 2022 at 07:24 UTC.
The requested start date was Friday, 20 May 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 4-day, 5-hour, 21-minute period from Sunday, 15 May 2022 at 07:30 UTC to Thursday, 19 May 2022 at 12:52 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:
[5803] ips_nupurprasad,pmoindia [5750] pmoindia,hmoindia [4799] hmoindia,nia_india [4166] nia_india,dir_ed [2342] dir_ed,indsupremecourt [1340] indsupremecourt,cvcindia [775] geet_205,thread [707] cvcindia,drjitendrasingh [438] murder,ips_nupurprasad [355] june,ips_nupurprasad Top Word Pairs in Tweet in G1:
[66] hon,sir [54] drjitendrasingh,doppw_india [54] doppw_india,narendramodi [52] gpalaniappan,drjitendrasingh [43] pmoindia,amitshah [42] dot_india,ipsingh15984550 [42] pib_india,pmoindia [39] ipsingh15984550,cvcindia [39] narendramodi,pib_india [39] amitshah,jpnadda Top Word Pairs in Tweet in G2:
[5761] ips_nupurprasad,pmoindia [5433] pmoindia,hmoindia [4776] hmoindia,nia_india [4145] nia_india,dir_ed [2329] dir_ed,indsupremecourt [1324] indsupremecourt,cvcindia [768] geet_205,thread [698] cvcindia,drjitendrasingh [435] murder,ips_nupurprasad [353] june,ips_nupurprasad Top Word Pairs in Tweet in G3:
[72] ashwinivaishnaw,railminindia [64] क,य [62] pmoindia,hmoindia [58] hmoindia,ashwinivaishnaw [57] क,र [56] incometaxindia,cvcindia [55] र,य [51] cvcindia,dir_ed [47] न,क [41] gmncr1,incometaxindia Top Word Pairs in Tweet in G4:
[225] pmoindia,hmoindia [132] hmoindia,adgpi [132] adgpi,ips_nupurprasad [131] ips_nupurprasad,nia_india [131] nia_india,mumbaipolice [131] mumbaipolice,itsssr [131] itsssr,dir_ed [128] dir_ed,cvcindia [118] pdrani15,pmoindia [113] cvcindia,ibofficials Top Word Pairs in Tweet in G5:
[7] ungeneva,unhumanrights [7] unhumanrights,intlcrimcourt [6] scflaws,cij_icj [6] cij_icj,ungeneva [6] intlcrimcourt,scofind [6] scofind,dychandrachud [6] dychandrachud,nicktrebla [6] nicktrebla,truthsearch1957 [5] truthsearch1957,guardian [5] guardian,wire Top Word Pairs in Tweet in G6:
[9] क,र [6] म,क [6] क,य [5] pmo_namo,nsitharamanoffc [5] र,रव [5] रव,ई [4] delhicustoms,cisfhqrs [4] ps,campbell [4] campbell,bay [4] bay,islands Top Word Pairs in Tweet in G7:
[6] #नर,मद [3] mpdial100,hariips [3] hariips,solanki_ips [3] solanki_ips,cvcindia [3] cvcindia,dgovcbic [3] dgovcbic,cbic_india [3] cbic_india,cp_indore [3] cp_indore,cp_indore1 [3] indorepolice,igp_indore [3] मद,_प Top Word Pairs in Tweet in G8:
[7] रह,ह [5] cvcindia,fci_india [5] म,र [4] ह,म [4] क,र [3] dir_ed,cbitweets [3] cbitweets,incometaxindia [3] incometaxindia,cvcindia [3] fci_india,fooddeptgoi [3] fooddeptgoi,secy_food_cg Top Word Pairs in Tweet in G9:
[2] cvcindia,actindiaoffice Top Word Pairs in Tweet in G10:
[31] ips_nupurprasad,pmoindia [21] pmoindia,hmoindia [18] hmoindia,nia_india [16] nia_india,dir_ed [12] ssr,held [12] held,waterstone [12] waterstone,resort [12] resort,europe [12] europe,trip [10] dir_ed,indsupremecourt Top Replied-To in Entire Graph:
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Top Replied-To in G8:
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Top Replied-To in G10:
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: