The graph represents a network of 4,723 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, 10 July 2020 at 00:37 UTC.
The requested start date was Friday, 10 July 2020 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 2-day, 15-hour, 46-minute period from Monday, 06 July 2020 at 13:44 UTC to Thursday, 09 July 2020 at 05:31 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 : 4723
Unique Edges : 5900
Edges With Duplicates : 10288
Total Edges : 16188
Number of Edge Types : 5
Retweet : 3367
MentionsInRetweet : 6779
Tweet : 981
Mentions : 4767
Replies to : 294
Self-Loops : 1059
Reciprocated Vertex Pair Ratio : 0.0322325265776974
Reciprocated Edge Ratio : 0.062452065300756
Connected Components : 630
Single-Vertex Connected Components : 273
Maximum Vertices in a Connected Component : 3004
Maximum Edges in a Connected Component : 13259
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 6.140918
Graph Density : 0.000409245697449817
Modularity : 0.498777
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 4,723 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, 10 July 2020 at 00:37 UTC.
The requested start date was Friday, 10 July 2020 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 2-day, 15-hour, 46-minute period from Monday, 06 July 2020 at 13:44 UTC to Thursday, 09 July 2020 at 05:31 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:
[219] smart,city [210] mikequindazzi,antgrasso [208] #ai,#iot [203] त,र [181] smart,cities [138] fisher85m,copy [138] copy,mikequindazzi [137] mt,fisher85m [134] #iot,#5g [133] #iot,#bigdata Top Word Pairs in Tweet in G1:
[209] mikequindazzi,antgrasso [138] fisher85m,copy [138] copy,mikequindazzi [137] mt,fisher85m [132] #ai,#iot [119] #iot,#bigdata [90] enricomolinari,#ehealth [81] infographic,#smartcity [70] fisher85m,cc [70] cc,mikequindazzi Top Word Pairs in Tweet in G2:
[28] cmomaharashtra,officeofut [28] secretary,health [28] health,arti [28] arti,ahuja [28] ahuja,dr [28] dr,ravindran [27] क,श [24] coc_gvmc,vizag_smartcity [24] sureshsharmamuz,smartcities_hua [24] smartcities_hua,swachhbharatgov Top Word Pairs in Tweet in G3:
[22] smart,city [17] smart,cities [14] म,र [13] #latestnews,#smartcities [11] स,म [11] #iot,#latestnews [9] र,ट [9] स,ट [8] ट,स [8] #smartcities,#smartcity Top Word Pairs in Tweet in G4:
[73] smart,cities [65] #ai,#iot [61] #selfdrivingcars,#ai [52] #iot,#5g [37] #startups,#smartcity [37] #smartcity,#startup [36] #smartcities,#smartcity [36] #driverlesscars,#startups [36] #startup,#robot [34] #robotics,#driverless Top Word Pairs in Tweet in G5:
[18] smart,city [12] #bitcoin,#blockchain [11] #blockchain,#crypto [10] #wallstreet,#newyork [9] #coindesk,#smartcities [9] #stockstowatch,#stocks [9] #otcqb,#otc [9] tienes,nueva [9] nueva,solicitud [9] solicitud,ciudadana Top Word Pairs in Tweet in G6:
[22] amruthjoshi2,arunkumar_tnie [20] compiled,amruthjoshi2 [18] hublicityegroup,#didyouknow [16] hublimandi,hublicityegroup [14] arunkumar_tnie,nagabhushanb [14] nagabhushanb,amitsen_tnie [12] unkal,lake [11] #didyouknow,history [11] history,unkal [11] lake,hubli Top Word Pairs in Tweet in G7:
[13] #concours,med'innovant [13] med'innovant,africa [13] africa,revient [13] revient,heureux [13] heureux,soutenir [13] soutenir,ce [13] ce,concours [13] concours,porté [13] porté,par [13] par,euromed_mrs Top Word Pairs in Tweet in G8:
[61] #innovation,#mobility [31] future,#bicycles [31] #bicycles,startupselfieco [31] startupselfieco,#innovation [31] #mobility,#smartcities [31] #smartcities,chboursin [31] chboursin,nevillegaunt [31] nevillegaunt,joannmoretti [30] shicooks,incredible [30] incredible,#bicycle Top Word Pairs in Tweet in G9:
[90] under,indian [90] indian,#citiis [90] #citiis,program [90] program,supporting [90] supporting,eu_in_india [90] eu_in_india,agartala [90] agartala,#smartcity [90] #smartcity,agtsmartcity [90] agtsmartcity,determined [89] afd_en,under Top Word Pairs in Tweet in G10:
[28] mc_gwmc,collector_wglu [26] collector_wglu,ktrtrs [25] madurirajkumar,dasyamofficial [25] dasyamofficial,mc_gwmc [25] ktrtrs,telanganacmo [25] #smartcity,#hriday [25] #hriday,#amrut [24] telanganacmo,dayakarrao2019 [24] arvindkumar_ias,cdmatelangana [22] cdmatelangana,tsmaudonline Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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: