The graph represents a network of 4,781 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 February 2022 at 01:41 UTC.
The requested start date was Friday, 25 February 2022 at 01:01 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 4-day, 4-hour, 30-minute period from Saturday, 19 February 2022 at 22:20 UTC to Thursday, 24 February 2022 at 02:51 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 : 4781
Unique Edges : 5726
Edges With Duplicates : 16847
Total Edges : 22573
Number of Edge Types : 5
Retweet : 5182
MentionsInRetweet : 9799
Tweet : 1240
Replies to : 434
Mentions : 5918
Self-Loops : 1463
Reciprocated Vertex Pair Ratio : 0.0268369224109945
Reciprocated Edge Ratio : 0.0522710506902729
Connected Components : 558
Single-Vertex Connected Components : 292
Maximum Vertices in a Connected Component : 3427
Maximum Edges in a Connected Component : 20368
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.696804
Graph Density : 0.000415215738028581
Modularity : 0.359884
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 4,781 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 February 2022 at 01:41 UTC.
The requested start date was Friday, 25 February 2022 at 01:01 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 4-day, 4-hour, 30-minute period from Saturday, 19 February 2022 at 22:20 UTC to Thursday, 24 February 2022 at 02:51 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:
[1176] #iot,#iiot [759] #iiot,#iotpl [469] #iotpl,#iotcl [370] સ,રત [340] #iotcommunity,#intrernetofthings [332] #machinelearning,#ai [324] #analytics,#machinelearning [313] #ai,#python [302] #surat,#smc [291] smart,cities Top Word Pairs in Tweet in G1:
[577] #iot,#iiot [313] #machinelearning,#ai [309] #analytics,#machinelearning [298] #ai,#python [284] #iiot,#iotpl [270] #python,#rstats [229] #rstats,#reactjs [202] #smartcities,#iot [195] #reactjs,#iot [172] #evs,#selfdrivingcars Top Word Pairs in Tweet in G2:
[163] smart,cities [65] smart,city [54] #smartcities,#smartcity [38] cities,building [36] #tweetchat,smart [36] building,sustainable [36] sustainable,future [36] future,using [32] join,#tweetchat [31] planning,sustainable Top Word Pairs in Tweet in G3:
[132] swachhaandhra,swachhbharatgov [93] swachhbharatgov,swachsurvekshan [81] swachsurvekshan,swachhbharat [79] mohua_india,amritmahotsav [73] gvmc_visakha,vizag_smartcity [68] andhrapradeshcm,cdma_municipal [59] cdma_municipal,vizag_smartcity [50] swachsurvekshan,swachhaandhra [49] vizag_smartcity,cdma_municipal [49] swachhbharatgov,swachhbharat Top Word Pairs in Tweet in G4:
[37] smart,city [23] #ai,#smartcity [22] achieving,digital [22] digital,transformation [22] transformation,journey [22] journey,year [22] year,enterprises [22] enterprises,surpass [22] surpass,digital [22] digital,#automation Top Word Pairs in Tweet in G5:
[572] #iot,#iiot [454] #iiot,#iotpl [310] #iotpl,#iotcl [279] #iotcommunity,#intrernetofthings [252] #industry40,#smartcity [251] #5g,#smartthings [250] #smartthings,#internetofeverything [247] #internetofeverything,#industry40 [230] #smartcity,#digitalcity [230] #digitalcity,iotcommunity Top Word Pairs in Tweet in G6:
[9] #v2v,#v2c [7] #v2c,#v2x [6] #smartcar,#smartcity [6] #socialnetwork_connectedcars,ubuntuone [6] ubuntuone,linuxfoundation [6] #smartcity,nyc_dot [6] nyc_dot,usdot [5] nhtsagov,massdot [4] smart,lighting [4] #automtiveaftermarket,nysdmv Top Word Pairs in Tweet in G7:
[304] સ,રત [279] #surat,#smc [224] લ,ક [209] મહ,નગરપ [209] નગરપ,લ [198] રત,મહ [137] ક,બજ [137] બજ,ટ [137] ટ,૨૦૨૨ [137] ૨૦૨૨,૨૩ Top Word Pairs in Tweet in G8:
[24] ministerktr,ktrtrs [18] arvindkumar_ias,cdmatelangana [17] ktrtrs,hmda_gov [17] hmda_gov,ghmconline [16] cdmatelangana,collector_wgl [15] ghmconline,youtube [15] collector_wgl,collector_hnk [14] #gwmc,#kuda [13] #warangal,#telangana [13] velide_anand,ministerktr Top Word Pairs in Tweet in G9:
[44] gem_apeldoorn,blij [44] blij,met [44] met,5g [44] 5g,deze [44] deze,oncoloog [44] oncoloog,spreekt [44] spreekt,video [44] video,minuten [44] minuten,succes [44] succes,met Top Word Pairs in Tweet in G10:
[12] agartala,smart [12] smart,city [12] city,adopts [12] adopts,'one [12] 'one,ten' [12] ten',trees [12] trees,compensatory [12] compensatory,afforestation [12] afforestation,drive [12] drive,minimise 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 G5:
Top Replied-To in G6:
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:
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Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: