The graph represents a network of 3,558 Twitter users whose recent tweets contained "smartcity OR smartcities", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/16/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 17 February 2023 at 01:17 UTC.
The tweets in the network were tweeted over the 1522-day, 17-hour, 3-minute period from Monday, 17 December 2018 at 07:56 UTC to Friday, 17 February 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 3558
Unique Edges : 3533
Edges With Duplicates : 15356
Total Edges : 18889
Number of Edge Types : 9
Retweet : 3008
MentionsInRetweet : 6013
Mentions : 3123
Replies to : 520
MentionsInReplyTo : 4222
Tweet : 1036
Quote : 143
MentionsInQuote : 759
MentionsInQuoteReply : 65
Self-Loops : 3052
Reciprocated Vertex Pair Ratio : 0.0347296813462227
Reciprocated Edge Ratio : 0.0671280276816609
Connected Components : 547
Single-Vertex Connected Components : 268
Maximum Vertices in a Connected Component : 1843
Maximum Edges in a Connected Component : 15646
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.372225
Graph Density : 0.000456707379996185
Modularity : 0.286076
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,558 Twitter users whose recent tweets contained "smartcity OR smartcities", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/16/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 17 February 2023 at 01:17 UTC.
The tweets in the network were tweeted over the 1522-day, 17-hour, 3-minute period from Monday, 17 December 2018 at 07:56 UTC to Friday, 17 February 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[1125] #healthtech,#smartcity [1121] #smartcity,#5g [1110] #datascientist,#csuite [1106] #5g,#datascientist [1065] #vive2023,#healthtech [1064] #csuite,#digitalhealth [1061] #digitalhealth,#web3 [1046] #web3,#cx [1045] #cx,#ehealth [689] chidambara09,#vive2023 Top Word Pairs in Tweet in G1:
[1087] #healthtech,#smartcity [1082] #smartcity,#5g [1072] #datascientist,#csuite [1068] #5g,#datascientist [1027] #vive2023,#healthtech [1026] #csuite,#digitalhealth [1023] #digitalhealth,#web3 [1010] #web3,#cx [1009] #cx,#ehealth [653] chidambara09,#vive2023 Top Word Pairs in Tweet in G2:
[75] niua_india,hiteshvaidya [74] amrut_mohua,ut_mohua [74] smartcities_hua,amrut_mohua [70] amdavadamc,smartcities_hua [66] bhupendrapbjp,amdavadamc [66] cmoguj,bhupendrapbjp [61] mohua_india,secretary_mohua [60] smartcities_hua,mohua_india [60] hiteshvaidya,c40cities [57] c40cities,uclg_org Top Word Pairs in Tweet in G3:
[43] #automation,#smartcity [43] many,benefits [42] issues,everyone [42] #dataprivacy,issues [42] lance,eliot [42] workplace,productivity [42] benefits,workplace [42] consider,risks [42] using,#generativeai [42] explains,potential Top Word Pairs in Tweet in G4:
[5] smartcities_hua,chennaicorp [5] ptrmadurai,anshulmishra555 [5] mkstalin,ptrmadurai [5] chennaicorp,chn_metro_water [5] chn_metro_water,cmrlofficial [5] pksekarbabu,cmotamilnadu [5] indianoilcorp,chennaipolice_ [5] cmrlofficial,credaichennai [5] mygovindia,thamizhachith [5] credaichennai,mygovindia Top Word Pairs in Tweet in G5:
[99] minuten,städte [99] 15,minuten [75] #greatreset,#agenda2030 [75] umzäunte,menschengehege [75] #agenda2030,die [75] moderne,umzäunte [75] #smartcities,#greatreset [75] städte,moderne [75] smarten,15 [75] #wef,#smartcities Top Word Pairs in Tweet in G6:
[70] #analytics,#machinelearning [69] #iot,#ml [66] #machinelearning,#iot [54] #ml,#flutter [46] #digitalhealth,#health [46] #smartcity,#digital [46] #digital,#digitalhealth [44] #tech,#tensorflow [44] #flutter,#tech [43] #smartcities,#openai Top Word Pairs in Tweet in G7:
[25] dpls,darkpulse [14] high,resolution [14] #smartcities,utilizing [14] technology,#smartcities [14] darkpulse,foundational [14] foundational,technology [14] resolution,sensors [14] utilizing,patented [14] patented,high [12] words,value Top Word Pairs in Tweet in G8:
[70] mlkhattar,drkamalguptabjp [70] cmohry,mlkhattar [70] dckarnal,mckarnal [70] karnalsmartcity,cmohry [70] drkamalguptabjp,dckarnal [70] shaktisinghadv,karnalsmartcity [69] nathura50862528,shaktisinghadv [55] mckarnal,smartcities_hua [42] spmcrt1480,rashtrapatibhvn [39] क,र Top Word Pairs in Tweet in G9:
[4] jammu_smartcity,jmcjammu [3] chairmanjpdcl,sejammu_jpdcl [3] sejammu_jpdcl,ed3jpdcl [3] jammu_smartcity,chairmanjpdcl [3] theyouthplus,jpdclofficial [3] jpdclofficial,itjpdcl [3] itjpdcl,jammu_smartcity [2] bahu,jammu [2] place,names [2] martyrs,engraved Top Word Pairs in Tweet in G10:
[13] #smartcities,#smartcity [6] smart,cities [6] climate,action [5] qr,code [4] show,qr [4] #parkinglot,#innovation [4] transport,green [4] starts,operation [4] things,successful [4] fossil,fuels 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 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: