The graph represents a network of 4,866 Twitter users whose tweets in the requested range contained "smartcity OR smartcities", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 19 August 2022 at 00:22 UTC.
The requested start date was Friday, 19 August 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 5-day, 8-hour, 7-minute period from Friday, 12 August 2022 at 18:50 UTC to Thursday, 18 August 2022 at 02:57 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 : 4866
Unique Edges : 7631
Edges With Duplicates : 15760
Total Edges : 23391
Number of Edge Types : 5
Tweet : 1278
Retweet : 4435
MentionsInRetweet : 7582
Mentions : 9285
Replies to : 811
Self-Loops : 1707
Reciprocated Vertex Pair Ratio : 0.0226966896922939
Reciprocated Edge Ratio : 0.0443859649122807
Connected Components : 501
Single-Vertex Connected Components : 258
Maximum Vertices in a Connected Component : 3584
Maximum Edges in a Connected Component : 21204
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.706668
Graph Density : 0.000481559441543119
Modularity : 0.414955
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 4,866 Twitter users whose tweets in the requested range contained "smartcity OR smartcities", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 19 August 2022 at 00:22 UTC.
The requested start date was Friday, 19 August 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 5-day, 8-hour, 7-minute period from Friday, 12 August 2022 at 18:50 UTC to Thursday, 18 August 2022 at 02:57 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 : smartcity OR smartcities
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:
[1009] #healthtech,#datascientist [1005] #iot,#iiot [1003] #ehealth,#finserv [994] #finserv,#cloud [985] #cloud,#insurtech [985] #datascientist,#csuite [985] #csuite,#digitalhealth [982] #cx,#ehealth [978] #digitalhealth,#web3 [977] #web3,#cx Top Word Pairs in Tweet in G1:
[1009] #healthtech,#datascientist [1003] #ehealth,#finserv [998] #iot,#iiot [994] #finserv,#cloud [985] #datascientist,#csuite [985] #csuite,#digitalhealth [985] #cloud,#insurtech [982] #cx,#ehealth [978] #digitalhealth,#web3 [977] #web3,#cx Top Word Pairs in Tweet in G2:
[173] त,र [166] smart,cities [92] smartcities_hua,mohua_india [83] #100iccc,#75impactstoriesiccc [80] cities,mission [79] narendramodi,ji [78] 100,smart [78] र,ग [77] landmark,day [77] day,pm Top Word Pairs in Tweet in G3:
[60] smart,city [44] #automation,#smartcity [23] lahore,smart [21] smart,cities [20] #smartcities,#smartcity [17] capital,smart [16] moves,toward [15] technologist,nisha [15] nisha,talagala [15] talagala,breaks Top Word Pairs in Tweet in G4:
[273] gvmc_visakha,andhrapradeshcm [262] andhrapradeshcm,cdma_municipal [220] coc_gvmc,vizag_smartcity [218] cdma_municipal,swachsurvekshan [218] swachsurvekshan,vidadalarajini [218] vidadalarajini,coc_gvmc [194] vizag_smartcity,mohua_india [150] mohua_india,vizagcollector [150] vizagcollector,vizaggoap [85] support,vizag Top Word Pairs in Tweet in G5:
[42] #harghartiranga,campaign [33] tawi,bridges [32] lit,tricolor [32] tricolor,mark [32] mark,#harghartiranga [28] diprjk,officeoflgjandk [24] jammu_smartcity,jmcjammu [17] र,श [17] iconic,heritage [17] heritage,monument Top Word Pairs in Tweet in G6:
[29] क,स [26] ल,क [24] र,म [23] र,क [23] smartcities_hua,upgovt [22] स,ट [22] व,र [21] स,म [21] प,र [19] क,प Top Word Pairs in Tweet in G7:
[15] 17,september [15] september,18 [15] 18,uhr [15] uhr,findet [15] findet,fili [15] fili,café [15] café,kajo [15] kajo,die [15] die,erste [15] erste,#nft_galerie Top Word Pairs in Tweet in G8:
[14] smart,cities [14] #smartcities,#smartcity [10] smart,city [8] final,conference [8] abhinav,madhavanunni [8] madhavanunni,anuttama [8] anuttama,dasgupta [8] dasgupta,explore [8] explore,#internet [8] #internet,integral Top Word Pairs in Tweet in G9:
[14] #smartcity,#amrut [12] #warangal,#telangana [8] news,article [7] ktrtrs,sir [6] erstwhile,#warangal [6] arvindkumar_ias,cdmatelangana [6] #warangal,#hanumakonda [5] please,respond [5] respond,positively [5] positively,humanity Top Word Pairs in Tweet in G10:
[9] ht,wswmuc [6] #smartcity,#surat [6] #surat,#gujaratmodel [5] #5g,benefit [5] benefit,#smartcity [5] #smartcity,vision [5] vision,massive [5] massive,internet [5] internet,things [5] things,miot Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: