The graph represents a network of 4,826 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, 25 March 2022 at 00:33 UTC.
The requested start date was Friday, 25 March 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 2-day, 19-hour, 10-minute period from Monday, 21 March 2022 at 07:42 UTC to Thursday, 24 March 2022 at 02:53 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 : 4826
Unique Edges : 8718
Edges With Duplicates : 27589
Total Edges : 36307
Number of Edge Types : 5
Retweet : 3844
MentionsInRetweet : 7631
Mentions : 21709
Tweet : 963
Replies to : 2160
Self-Loops : 1135
Reciprocated Vertex Pair Ratio : 0.00983850009281604
Reciprocated Edge Ratio : 0.0194852941176471
Connected Components : 459
Single-Vertex Connected Components : 228
Maximum Vertices in a Connected Component : 3167
Maximum Edges in a Connected Component : 33316
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.248924
Graph Density : 0.000700866850329283
Modularity : 0.354459
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 4,826 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, 25 March 2022 at 00:33 UTC.
The requested start date was Friday, 25 March 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 2-day, 19-hour, 10-minute period from Monday, 21 March 2022 at 07:42 UTC to Thursday, 24 March 2022 at 02:53 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:
[1675] swachsurvekshan,swachhbharatgov [1654] gvmc_visakha,swachsurvekshan [1652] mohua_india,amritmahotsav [1637] swachhbharat,swachhaandhra [1596] vizag_smartcity,coc_gvmc [1417] swachhbharatgov,swachhbharat [1410] andhrapradeshcm,mohua_india [1253] cdma_municipal,vizag_smartcity [1252] amritmahotsav,cdma_municipal [1055] swachhaandhra,andhrapradeshcm Top Word Pairs in Tweet in G1:
[1675] swachsurvekshan,swachhbharatgov [1654] gvmc_visakha,swachsurvekshan [1652] mohua_india,amritmahotsav [1637] swachhbharat,swachhaandhra [1596] vizag_smartcity,coc_gvmc [1417] swachhbharatgov,swachhbharat [1410] andhrapradeshcm,mohua_india [1253] cdma_municipal,vizag_smartcity [1252] amritmahotsav,cdma_municipal [1055] swachhaandhra,andhrapradeshcm Top Word Pairs in Tweet in G2:
[615] #iot,#iiot [490] #iiot,#iotpl [330] #iotpl,#iotcl [254] #datascientist,#tech4good [254] #wearables,#bigdata [253] #ai,#ehealth [253] #ehealth,#iot [253] #iot,#datascientist [253] #tech4good,#smarthome [253] #smarthome,#wearables Top Word Pairs in Tweet in G3:
[358] ciudad,asunción [358] asunción,bajo [358] bajo,agua [322] agua,autos [322] autos,arrastrados [322] arrastrados,calles [322] calles,viviendas [322] viviendas,inundadas [322] inundadas,mientras [284] mientras,intendente Top Word Pairs in Tweet in G4:
[22] smart,city [21] smart,cities [14] #smartcity,#iot [14] #iot,#iiot [14] #iiot,#analytics [14] #analytics,#tinyml [14] #tinyml,#edgecomputing [14] #edgecomputing,#5g [11] peter,gillingwater [11] newfound,global Top Word Pairs in Tweet in G5:
[20] smart,cities [15] smart,city [10] #warangal,#telangana [8] #opendata,provided [8] provided,#euspace [8] #euspace,programme [8] programme,enables [8] enables,innovative [8] innovative,applications [8] applications,#digitaleu Top Word Pairs in Tweet in G6:
[162] श,स [162] स,त [162] त,र [87] जस,थ [87] थ,न [85] #र,जस [83] #क,ग [83] ग,र [83] र,स [83] स,श Top Word Pairs in Tweet in G7:
[10] smart,city [8] teilnehmer,innen [8] innen,gesucht [8] gesucht,co2 [8] co2,monitoring [8] monitoring,gestartet [8] gestartet,zwei [8] zwei,sensoren [8] sensoren,vergeben [8] vergeben,suchen Top Word Pairs in Tweet in G8:
[37] special,issue [37] issue,policyr [23] proud,present [23] present,special [23] policyr,cfp [23] cfp,working [23] working,socioanna [23] socioanna,welcoming [23] welcoming,submissions [22] alinawernick,proud Top Word Pairs in Tweet in G9:
[5] य,त [4] त,ल [3] ranchi,technical [3] technical,assistance [3] assistance,bvlf [3] bvlf,india [3] india,wricitiesindia [3] wricitiesindia,transformed [3] transformed,deserted [3] deserted,patch Top Word Pairs in Tweet in G10:
[12] visit,expo [10] 29th,convergenc [10] expo,register [10] register,#ci2022 [10] #sci2022,#smartcities [10] india,7th [9] #ci2022,#convergenceindia [9] 7th,smartcitiesind [8] smartcitiesind,expo [8] #smartcitiesindia,#sci2022 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 G7:
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: