The graph represents a network of 4,797 Twitter users whose tweets in the requested range contained "infosys", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 14 March 2019 at 09:55 UTC.
The requested start date was Thursday, 14 March 2019 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 7-day, 16-hour, 29-minute period from Wednesday, 06 March 2019 at 07:04 UTC to Wednesday, 13 March 2019 at 23:33 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 : 4797
Unique Edges : 6131
Edges With Duplicates : 3093
Total Edges : 9224
Number of Edge Types : 3
Mentions : 7682
Tweet : 1076
Replies to : 466
Self-Loops : 1076
Reciprocated Vertex Pair Ratio : 0.0192759755524213
Reciprocated Edge Ratio : 0.0378228782287823
Connected Components : 643
Single-Vertex Connected Components : 475
Maximum Vertices in a Connected Component : 3620
Maximum Edges in a Connected Component : 7546
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.160401
Graph Density : 0.000282703795793973
Modularity : 0.624814
NodeXL Version : 1.0.1.409
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1124] 5,years [1124] much,better [1122] next,5 [1121] pic,someone [1121] someone,leader [1121] leader,make [1121] make,india [1121] india,much [1121] better,country [1121] country,next Top Word Pairs in Tweet in G1:
[1098] pic,someone [1098] someone,leader [1098] leader,make [1098] make,india [1098] india,much [1098] much,better [1098] better,country [1098] country,next [1098] next,5 [1098] 5,years Top Word Pairs in Tweet in G2:
[55] salil,parekh [50] ceo,salil [46] infosys,ceo [37] sudha,murty [35] infosys,foundation [34] rolls,royce [33] infosys,infosys [32] innovation,hub [32] infosys,today [30] one,year Top Word Pairs in Tweet in G3:
[579] nr,narayana [579] narayana,murthy [579] murthy,infosys [579] infosys,founder [577] ani,nr [341] founder,industry [341] industry,work [341] work,hard [341] hard,make [341] make,ourselves Top Word Pairs in Tweet in G4:
[57] rolls,royce [47] digital,services [46] infosys,ltd [40] find,wipro [38] ltd,infy [37] wipro,infosys [36] infosys,deliver [32] services,rolls [32] infosys,positions [29] infosys,finacle Top Word Pairs in Tweet in G5:
[100] tcs,infosys [52] infosys,cts_staff [43] infosys,cognizant [38] h,1b [33] south,asians [32] discriminating,against [32] ktrtrs,ncbn [31] new,lawsuit [31] lawsuit,filed [31] filed,accusing Top Word Pairs in Tweet in G6:
[12] 78,reservation [11] infosys,narendramodi [10] assocham4india,blockchain [10] reservation,maharshtra [10] maharshtra,system [10] system,really [10] really,building [10] building,nation [10] nation,reserved [10] reserved,eat Top Word Pairs in Tweet in G7:
[7] raghuynt,sudhir_san16 [7] sudhir_san16,nknairvm [7] nknairvm,envyk_blr [7] mayarao,cpt_naveen [7] cpt_naveen,nitinkml [7] nitinkml,anandagundurao [7] anandagundurao,jimkimmit [6] envyk_blr,kalkur_vivek [6] kalkur_vivek,mayarao [6] jimkimmit,niveditarajan2 Top Word Pairs in Tweet in G8:
[71] thank,much [71] much,mr [71] mr,anurag [71] anurag,saxena [71] saxena,happy [71] happy,worked [71] worked,infosys [71] infosys,went [71] went,cities [70] mrcuteanish,thank Top Word Pairs in Tweet in G9:
[20] infosys,bhubaneswar [19] day,2019 [19] 2019,infosys [19] infosys,pocharam [16] international,women's [16] women's,day [15] cp_rachakonda,sri [15] sri,mahesh [15] mahesh,m [15] m,bhagwat Top Word Pairs in Tweet in G10:
[8] mafoikprajan,drmanikandanofl [8] drmanikandanofl,epstamilnadu [8] epstamilnadu,officeofops [8] officeofops,nasscom [8] nasscom,followcii [8] followcii,hcltech [8] hcltech,capgeminiindia [8] capgeminiindia,infosys [7] nungaisaravanan,mafoikprajan [7] infosys,cts_s Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
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Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: