The graph represents a network of 4,338 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 Friday, 11 January 2019 at 03:49 UTC.
The requested start date was Friday, 11 January 2019 at 01:01 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 9-day, 4-hour, 19-minute period from Tuesday, 01 January 2019 at 20:23 UTC to Friday, 11 January 2019 at 00:42 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 : 4338
Unique Edges : 6006
Edges With Duplicates : 3005
Total Edges : 9011
Number of Edge Types : 3
Replies to : 334
Mentions : 6860
Tweet : 1817
Self-Loops : 1817
Reciprocated Vertex Pair Ratio : 0.0155386740331492
Reciprocated Edge Ratio : 0.0306018361101666
Connected Components : 1054
Single-Vertex Connected Components : 883
Maximum Vertices in a Connected Component : 2839
Maximum Edges in a Connected Component : 6938
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.791544
Graph Density : 0.000312641085801109
Modularity : 0.61016
NodeXL Version : 1.0.1.407
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[5492] à,à [473] infosys,prize [353] modi,sarkar [353] sarkar,built [353] built,large [353] large,part [353] part,foundation [353] foundation,ignorance [353] ignorance,deep [353] deep,abiding Top Word Pairs in Tweet in G1:
[1021] à,à [165] key,players [150] including,key [131] digital,payments [98] deepen,digital [95] forms,panel [93] technology,lead [92] panel,deepen [92] payments,led [84] ai,oil Top Word Pairs in Tweet in G2:
[320] modi,sarkar [320] sarkar,built [320] built,large [320] large,part [320] part,foundation [320] foundation,ignorance [320] ignorance,deep [320] deep,abiding [320] abiding,fear [320] fear,scholars Top Word Pairs in Tweet in G3:
[190] à,à [28] talk,experts [28] experts,nrf2019 [28] nrf2019,engage [28] engage,more [28] more,deeply [28] deeply,digital [28] digital,natives [28] natives,enhance [28] enhance,business Top Word Pairs in Tweet in G4:
[231] denied,leave [212] infosys,prize [210] leave,receive [209] jnu,professor [189] administration,denied [136] jnu,vice [136] vice,chancellor [135] believe,pettiness [135] pettiness,jnu [135] chancellor,acolytes Top Word Pairs in Tweet in G5:
[93] à,à [91] sreeiyer1,narendramodi [81] narendramodi,disappointed [81] disappointed,appointment [81] appointment,mr [81] mr,nandannilekani [81] nandannilekani,commendable [81] commendable,job [80] job,aadhaarâ [26] co,founder Top Word Pairs in Tweet in G6:
[95] à,à [28] infosys,wipro [28] tcs,infosys [16] january,11 [15] indusind,bank [14] special,dividend [14] up,1 [14] infosys,prize [14] citizens,bhopal [14] heart,india Top Word Pairs in Tweet in G7:
[93] jan,26th [69] hartford,ct [53] sat,jan [49] u,s [47] s,workers [46] protect,u [45] join,protect [45] marksolon44319,padhis1 [45] padhis1,kendws1 [45] kendws1,sangeetraga Top Word Pairs in Tweet in G8:
[156] à,à [95] infosys,prize [85] prize,2018 [57] winner,infosys [34] infosysprize,meetthelaureate [32] roop,mallik [31] thanks,iiscbangalore [28] kavita,singh [27] infosys,science [26] science,foundation Top Word Pairs in Tweet in G9:
[319] à,à [25] special,dividend [20] indusind,bank [19] 11th,jan [18] à,œà [18] œà,à [17] à,ˆà [17] ˆà,à [17] à,ªà [17] ªà,à Top Word Pairs in Tweet in G10:
[5] infosys,science [5] science,foundation [5] foundation,award [5] award,ceremony [5] ceremony,webcast [5] webcast,live [5] live,youtube [5] youtube,channel [5] channel,link [5] link,up Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: