The graph represents a network of 1,972 Twitter users whose recent tweets contained "AlokSharma_RDG", 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 Monday, 03 October 2022 at 10:19 UTC.
The tweets in the network were tweeted over the 8-day, 1-hour, 47-minute period from Sunday, 25 September 2022 at 08:10 UTC to Monday, 03 October 2022 at 09:57 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 : 1972
Unique Edges : 11657
Edges With Duplicates : 4666
Total Edges : 16323
Number of Edge Types : 5
Replies to : 444
Mentions : 3194
Retweet : 1166
MentionsInRetweet : 11515
Tweet : 4
Self-Loops : 37
Reciprocated Vertex Pair Ratio : 0.00498432349867353
Reciprocated Edge Ratio : 0.00991920646348292
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 1972
Maximum Edges in a Connected Component : 16323
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.60596
Graph Density : 0.00321626052404901
Modularity : 0.468718
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 1,972 Twitter users whose recent tweets contained "AlokSharma_RDG", 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 Monday, 03 October 2022 at 10:19 UTC.
The tweets in the network were tweeted over the 8-day, 1-hour, 47-minute period from Sunday, 25 September 2022 at 08:10 UTC to Monday, 03 October 2022 at 09:57 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 : TwitterSearch
Graph Term : AlokSharma_RDG
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 Color : In-Degree
Vertex Radius : In-Degree
Vertex Alpha : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1195] न,र [1195] स,व [1194] व,न [1194] र,भर [604] narendramodi,pmoindia [604] pmoindia,iasassociation [602] ips_association,shamsher_ips [601] व,स [598] भ,रत [598] iasassociation,anilprathamips Top Word Pairs in Tweet in G1:
[1193] स,व [1193] न,र [1192] व,न [1192] र,भर [603] narendramodi,pmoindia [603] pmoindia,iasassociation [601] ips_association,shamsher_ips [597] iasassociation,anilprathamips [597] anilprathamips,ips_association [597] shamsher_ips,nitiaayog Top Word Pairs in Tweet in G2:
[53] aloksharma_rdg,sir [51] greetings,aloksharma_rdg [51] sir,tseke [51] tseke,nkadimeng [51] nkadimeng,resident [51] resident,south [51] south,africa [51] africa,walking [51] walking,10 [51] 10,000 Top Word Pairs in Tweet in G3:
[137] climate,change [105] change,africa [87] potus,aloksharma_rdg [84] aloksharma_rdg,emmanuelmacron [84] emmanuelmacron,johnkerry [84] johnkerry,secyellen [84] secyellen,antonioguterres [73] climate,financing [71] africa,suffering [70] wait,climate Top Word Pairs in Tweet in G4:
[135] vanessa_vash,nicolasturgeon [135] nicolasturgeon,lizwathuti [135] lizwathuti,carolinelucas [135] carolinelucas,climateenvoy [135] climateenvoy,mohadow [134] aloksharma_rdg,the_ecofeminist [131] climate,justice [116] mohadow,mitzijonelle [116] mitzijonelle,aloksharma_rdg [114] 'loss,damage' Top Word Pairs in Tweet in G5:
[3] monalalwani,elizkolbert [3] elizabarclay,themapsmith [3] swellis_,mkbrangan [3] eliotjacobson,jksteinberger [3] aloksharma_rdg,timmermanseu [2] occrp,daphnefdtn [2] daphnefdtn,ed_hawkins [2] ed_hawkins,monalalwani [2] elizkolbert,samoltman [2] samoltman,elizabarclay Top Word Pairs in Tweet in G6:
[8] त,य [8] य,र [8] गहल,त [8] ग,क [7] ल,ग [6] र,ह [5] supriyashrinate,pawankhera [5] rahulgandhi,supriyashrinate [5] ग,र [5] प,रवक Top Word Pairs in Tweet in G7:
[14] aloksharma_rdg,tttmediaxr [12] georgemonbiot,mrmatthewtodd [12] mrmatthewtodd,aloksharma_rdg [10] population,london [10] london,surrounded [10] surrounded,parliament [10] parliament,refused [10] refused,government [10] government,emergency [10] emergency,action Top Word Pairs in Tweet in G8:
[7] দ,র [6] rishisunak,pritipatel [5] vdoraiswami,aloksharma_rdg [5] aloksharma_rdg,rishisunak [5] pritipatel,vikram [5] seemamalhotra1,navpmishra [5] navpmishra,shaileshvara [5] shaileshvara,gaganmohindra [4] শ,ভ [4] ভ,চ Top Word Pairs in Tweet in G9:
[7] #lossanddamage,justice [7] justice,talk [7] talk,solar [7] solar,panels [7] panels,wind [7] wind,farms [7] farms,people [7] people,lost [7] lost,homes [7] homes,damage Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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 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 G5:
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Top Tweeters in G10: