The graph represents a network of 5,222 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, 28 May 2021 at 00:38 UTC.
The requested start date was Friday, 28 May 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 4-day, 16-hour, 20-minute period from Saturday, 22 May 2021 at 10:44 UTC to Thursday, 27 May 2021 at 03:05 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 : 5222
Unique Edges : 6161
Edges With Duplicates : 13296
Total Edges : 19457
Number of Edge Types : 5
Retweet : 4978
MentionsInRetweet : 8073
Mentions : 4630
Tweet : 1448
Replies to : 328
Self-Loops : 1575
Reciprocated Vertex Pair Ratio : 0.0379746835443038
Reciprocated Edge Ratio : 0.0731707317073171
Connected Components : 676
Single-Vertex Connected Components : 322
Maximum Vertices in a Connected Component : 3462
Maximum Edges in a Connected Component : 16744
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 4.968463
Graph Density : 0.000354899427678825
Modularity : 0.415608
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 5,222 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, 28 May 2021 at 00:38 UTC.
The requested start date was Friday, 28 May 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 4-day, 16-hour, 20-minute period from Saturday, 22 May 2021 at 10:44 UTC to Thursday, 27 May 2021 at 03:05 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:
[1226] #iot,#iiot [703] #iiot,#iotpl [535] #rstats,#reactjs [446] #ai,#python [442] #python,#rstats [402] #ai,#iot [389] #tech,#technology [380] #reactjs,#iot [311] smart,cities [298] #iotpl,#iotcommunity Top Word Pairs in Tweet in G1:
[1166] #iot,#iiot [688] #iiot,#iotpl [524] #rstats,#reactjs [433] #ai,#python [431] #python,#rstats [371] #reactjs,#iot [357] #tech,#technology [337] #ai,#iot [296] #5g,#smartthings [292] #iotpl,#iotcommunity Top Word Pairs in Tweet in G2:
[110] join,two [110] two,day [110] day,#onlinetraining [110] #onlinetraining,improve [110] under,#swachhsurvekshan [110] #swachhsurvekshan,date [110] date,june [110] june,2021 [107] vijayne11088447,join [107] 2021,regist Top Word Pairs in Tweet in G3:
[90] gigadgets_,enricomolinari [77] wef,enricomolinari [70] mashable,enricomolinari [44] #ai,#iot [39] #insurtech,#proptech [38] #finserv,#insurtech [38] #iiot,#bigdata [36] #bigdata,#ehealth [36] #iot,#iiot [34] #ehealth,#smartcities Top Word Pairs in Tweet in G4:
[32] smart,city [16] smart,cities [12] read,more [10] learn,more [10] develop,infrastructure [10] low,carbon [9] #electricvehicles,market [9] market,growth [9] growth,expected [9] expected,continue Top Word Pairs in Tweet in G5:
[22] #tech,#technology [20] #mydataeconomy,#digitalenergy [20] #digitalenergy,#ai [20] #ai,#ehealth [20] #ehealth,#machineeconomy [20] #machineeconomy,#bigdata [20] #bigdata,#code [19] #blockchain,#dlt [19] #dlt,#mydataeconomy [19] #code,#programming Top Word Pairs in Tweet in G6:
[88] coc_gvmc,vizag_smartcity [79] gvmc_official,gummallasrijana [71] gummallasrijana,coc_gvmc [11] న,న [10] andhrapradeshcm,coc_gvmc [9] స,త [9] liquor,shops [8] gummallasrijana,andhrapradeshcm [8] venkataraja,gvmc_official [8] wine,shops Top Word Pairs in Tweet in G7:
[23] #smartcities,#smartcity [10] #urbaninnovation,#urbanplanning [10] #smartcities,#futurecities [9] comisión,#smartcities [9] #bigdata,#urbandata [8] #smartcities,cual [8] cual,hoy [8] hoy,presentamos [8] presentamos,será [8] será,centro Top Word Pairs in Tweet in G8:
[31] #koepaardbrug,#maassluis [31] #maassluis,brug [31] #iot,#lorawan [31] #lorawan,#smartcity [30] #smartcity,#slimmestad [30] #slimmestad,#thethingsnetwork [30] #thethingsnetwork,#blauwegolfverbindend [30] #blauwegolfverbindend,#rws [30] #rws,#flitsmeister [30] #flitsmeister,skylabiot Top Word Pairs in Tweet in G9:
[8] aj00813825,rkyadav8361 [8] rkyadav8361,madurirajkumar [8] madurirajkumar,saif_sharuk [8] saif_sharuk,seethakkamla [8] seethakkamla,hiwarangal [8] hiwarangal,inctelangana [8] inctelangana,mc_gwmc [8] mc_gwmc,tsmaudonline [7] #warangal,#telangana [7] someshkumarias,telanganacs Top Word Pairs in Tweet in G10:
[13] schlauer,busfahren [13] busfahren,#herrenberg [13] #herrenberg,bus [13] bus,voll [13] voll,bus [13] bus,überhaupt [13] überhaupt,die [13] die,wartezeit [13] wartezeit,verkürzt [13] verkürzt,dank Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G6:
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: