The graph represents a network of 1,185 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, 16 May 2022 at 08:02 UTC.
The requested start date was Monday, 16 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 3-day, 20-hour, 14-minute period from Wednesday, 11 May 2022 at 16:42 UTC to Sunday, 15 May 2022 at 12:57 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 : 1185
Unique Edges : 3242
Edges With Duplicates : 54103
Total Edges : 57345
Number of Edge Types : 4
Retweet : 6799
MentionsInRetweet : 40340
Mentions : 9916
Replies to : 290
Self-Loops : 23
Reciprocated Vertex Pair Ratio : 0.0166259914582062
Reciprocated Edge Ratio : 0.0327081770442611
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 1185
Maximum Edges in a Connected Component : 57345
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.280879
Graph Density : 0.00475039913331053
Modularity : 0.090699
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 1,185 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, 16 May 2022 at 08:02 UTC.
The requested start date was Monday, 16 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 3-day, 20-hour, 14-minute period from Wednesday, 11 May 2022 at 16:42 UTC to Sunday, 15 May 2022 at 12:57 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:
[6086] pmoindia,hmoindia [6004] ips_nupurprasad,pmoindia [4969] hmoindia,nia_india [4273] nia_india,dir_ed [2347] dir_ed,indsupremecourt [1354] indsupremecourt,cvcindia [791] cvcindia,drjitendrasingh [754] geet_205,thread [415] murder,ips_nupurprasad [366] mahesh,bhatt Top Word Pairs in Tweet in G1:
[6004] ips_nupurprasad,pmoindia [5717] pmoindia,hmoindia [4968] hmoindia,nia_india [4273] nia_india,dir_ed [2347] dir_ed,indsupremecourt [1352] indsupremecourt,cvcindia [791] cvcindia,drjitendrasingh [752] geet_205,thread [415] murder,ips_nupurprasad [353] mahesh,bhatt Top Word Pairs in Tweet in G2:
[76] drjitendrasingh,doppw_india [76] doppw_india,narendramodi [74] gpalaniappan,drjitendrasingh [64] क,य [61] ashwinivaishnaw,railminindia [47] pmoindia,amitshah [45] क,र [45] cvcindia,dir_ed [44] incometaxindia,cvcindia [41] railminindia,rpf_india Top Word Pairs in Tweet in G3:
[34] navneettyagi23,pmoindia [30] ssukhmandra,udayraj3102 [30] pmoindia,timesofindia [30] etenergyworld,piyushgoyal [26] timesofindia,etenergyworld [23] piyushgoyal,piyushgoyaloffc [21] pankajs34210100,navneettyagi23 [20] pmoindia,narendramodi [16] udayraj3102,bjp4india [16] bjp4india,jpnadda Top Word Pairs in Tweet in G4:
[16] beautiful,jiah [16] jiah,khan [16] khan,always [16] always,memories [16] memories,deeply [16] deeply,soaked [16] soaked,love [16] love,light [16] light,soul [16] soul,faced Top Word Pairs in Tweet in G5:
[332] pmoindia,hmoindia [246] hmoindia,adgpi [246] adgpi,ips_nupurprasad [193] ips_nupurprasad,nia_india [193] nia_india,mumbaipolice [193] mumbaipolice,itsssr [193] itsssr,dir_ed [188] dir_ed,cvcindia [175] cvcindia,ibofficials [155] pdrani15,pmoindia Top Word Pairs in Tweet in G6:
[5] क,र [4] र,क [3] rajeshkumar2210,awdhesh21014505 [3] awdhesh21014505,bstvlive [3] bstvlive,anooppradhanbjp [3] anooppradhanbjp,boardofrevenue [3] boardofrevenue,myogiadityanath [3] myogiadityanath,ravindramos_ic [3] मह,दय [3] व,भ Top Word Pairs in Tweet in G7:
[4] dashrathrabar16,akumar1202 [4] akumar1202,techindo21 [4] techindo21,pareshjaani [4] pareshjaani,syedjawdhath [4] syedjawdhath,cibil_official [4] cibil_official,vishald75094608 [4] vishald75094608,parimaljadav5 [3] udaykotak,dasshaktikanta [3] dasshaktikanta,rbi [3] rbi,pmoindia Top Word Pairs in Tweet in G8:
[2] ps,campbell [2] campbell,bay [2] bay,islands [2] cp_bhopal,rssindia12 [2] rssindia12,indiacorrupts [2] indiacorrupts,bjp4mp [2] bjp4mp,mohdept [2] mohdept,rssorg [2] rssorg,rssorg [2] rssorg,pankajmheshwari Top Word Pairs in Tweet in G9:
[10] mid_waytimes,mahanagargas [10] neerajpattath,saferroadssquad [10] saferroadssquad,mushtaqansari80 [10] mushtaqansari80,mangal256 [10] mangal256,petition_group [6] petition_group,mumbaikhabar9 [5] mahanagargas,neerajpattath [5] mahanagargas,bankimistry [5] bankimistry,neerajpattath [4] bankimistry,mid_waytimes Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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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:
Top Mentioned in G2:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: