The graph represents a network of 4,903 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, 11 June 2021 at 00:38 UTC.
The requested start date was Friday, 11 June 2021 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 3-day, 18-hour, 40-minute period from Sunday, 06 June 2021 at 08:29 UTC to Thursday, 10 June 2021 at 03:10 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 : 4903
Unique Edges : 5286
Edges With Duplicates : 13594
Total Edges : 18880
Number of Edge Types : 5
Mentions : 4410
Replies to : 300
Retweet : 4958
MentionsInRetweet : 7744
Tweet : 1468
Self-Loops : 1590
Reciprocated Vertex Pair Ratio : 0.0335762934639742
Reciprocated Edge Ratio : 0.0649710982658959
Connected Components : 699
Single-Vertex Connected Components : 340
Maximum Vertices in a Connected Component : 3143
Maximum Edges in a Connected Component : 16032
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.579868
Graph Density : 0.000359899221560868
Modularity : 0.404781
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 4,903 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, 11 June 2021 at 00:38 UTC.
The requested start date was Friday, 11 June 2021 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 3-day, 18-hour, 40-minute period from Sunday, 06 June 2021 at 08:29 UTC to Thursday, 10 June 2021 at 03:10 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:
[1214] #iot,#iiot [619] #rstats,#reactjs [568] #iiot,#iotpl [501] #python,#rstats [486] #reactjs,#iot [476] #ai,#python [436] #machinelearning,#ai [420] #analytics,#machinelearning [365] #iotpl,#iotcommunity [320] smart,city Top Word Pairs in Tweet in G1:
[1204] #iot,#iiot [617] #rstats,#reactjs [562] #iiot,#iotpl [500] #python,#rstats [485] #reactjs,#iot [475] #ai,#python [435] #machinelearning,#ai [419] #analytics,#machinelearning [360] #iotpl,#iotcommunity [258] #tech,#technology Top Word Pairs in Tweet in G2:
[140] smart,cities [67] smart,city [43] #smartcities,#iot [32] cities,marketplace [32] mobility,#smartcities [31] #smartcities,future [30] marketplace,forum [30] supporting,motorsport [30] motorsport,key [30] key,element Top Word Pairs in Tweet in G3:
[65] mohua_india,smartcities_hua [54] bbmpcomm,bbmpadmn [50] gvmc_official,gummallasrijana [49] vizag_smartcity,coc_gvmc [49] bbmpadmn,idecklimited [47] blrsmartcity_md,mohua_india [46] gummallasrijana,vizag_smartcity [30] smartcities_hua,bbmpcomm [26] coc_gvmc,andhrapradeshcm [24] smartcities_hua,scm_karnataka Top Word Pairs in Tweet in G4:
[39] smart,city [18] smart,cities [15] #ai,#smartcity [14] #automation,#smartcity [14] world,renowned [14] research,indicates [14] indicates,acceleration [14] acceleration,lead [14] lead,more [14] more,stress Top Word Pairs in Tweet in G5:
[93] fiware,smart [93] smart,fest [88] meet,tomorrow [88] tomorrow,fiware [88] fest,michelenati [88] michelenati,join [88] join,panel [88] panel,discuss [88] discuss,integration [88] integration,#iota Top Word Pairs in Tweet in G6:
[23] #smartcity,#hriday [21] #hriday,#amrut [19] #warangal,#telangana [17] aj00813825,rkyadav8361 [17] rkyadav8361,madurirajkumar [17] madurirajkumar,saif_sharuk [17] saif_sharuk,seethakkamla [17] seethakkamla,hiwarangal [17] hiwarangal,inctelangana [17] inctelangana,mc_gwmc Top Word Pairs in Tweet in G7:
[21] smart,cities [17] #smartcity,#innovation [14] cities,africa [10] cities,explore [8] #smartcity,#mobility [8] published,blog [8] blog,smart [8] africa,featured [8] featured,north [7] #innovation,#smartcity Top Word Pairs in Tweet in G8:
[9] ht,wswmuc [8] #smartcity,#digitaltransformation [7] data,analytics [6] smart,infrastructure [6] infrastructure,data [6] analytics,lab [6] lab,siemens [6] siemens,leverage [6] leverage,data [6] data,machine Top Word Pairs in Tweet in G9:
[9] #oldjammu,#railwaystation [9] #railwaystation,#bikramchowk [9] #bikramchowk,developed [9] developed,#heritagesite [9] #heritagesite,under [9] under,#smartcity [9] #smartcity,project [9] project,#divcomjammu [9] #divcomjammu,jandktourism [8] diprjk,#oldjammu Top Word Pairs in Tweet in G10:
[10] greek,island [10] island,going [10] going,electric [10] electric,frm [10] frm,#ev [10] #ev,#renewableenergy [10] #renewableenergy,#smartcity [10] #smartcity,sharleneisenia [10] sharleneisenia,dahl_consult [10] dahl_consult,frronconi Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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Top Replied-To in G5:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: