The graph represents a network of 5,067 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, 06 May 2022 at 00:22 UTC.
The requested start date was Friday, 06 May 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 5-day, 2-hour, 29-minute period from Saturday, 30 April 2022 at 00:30 UTC to Thursday, 05 May 2022 at 03:00 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 : 5067
Unique Edges : 7259
Edges With Duplicates : 16999
Total Edges : 24258
Number of Edge Types : 5
Tweet : 1018
Retweet : 4999
MentionsInRetweet : 9614
Mentions : 7797
Replies to : 830
Self-Loops : 1162
Reciprocated Vertex Pair Ratio : 0.0189127375087966
Reciprocated Edge Ratio : 0.0371233704567038
Connected Components : 461
Single-Vertex Connected Components : 230
Maximum Vertices in a Connected Component : 3964
Maximum Edges in a Connected Component : 22582
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.960404
Graph Density : 0.000451237273671374
Modularity : 0.41669
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 5,067 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, 06 May 2022 at 00:22 UTC.
The requested start date was Friday, 06 May 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 5-day, 2-hour, 29-minute period from Saturday, 30 April 2022 at 00:30 UTC to Thursday, 05 May 2022 at 03:00 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:
[698] andhrapradeshcm,cdma_municipal [673] gvmc_visakha,andhrapradeshcm [605] #iot,#iiot [496] #fintech,#insurtech [495] vizag_smartcity,coc_gvmc [480] cdma_municipal,vizag_smartcity [478] #insurtech,#finserv [474] #finserv,#marketing [459] #iiot,#iotpl [424] #marketing,#web3 Top Word Pairs in Tweet in G1:
[556] #iot,#iiot [495] #fintech,#insurtech [477] #insurtech,#finserv [473] #finserv,#marketing [424] #iiot,#iotpl [423] #marketing,#web3 [408] #web3,#neobanks [397] #iotpl,#iotcl [371] #innovation,#techforgood [364] #neobanks,#payments Top Word Pairs in Tweet in G2:
[265] muzaffarpura1,msclofficial [263] #muzaffarpurasks,#kachrahataodustbinlagao [226] msclofficial,udhdbihar [161] udhdbihar,smartcities_hua [135] smartcities_hua,pmoindia [123] divyaprakas8,#muzaffarpurasks [87] pmoindia,narendramodi [86] #kachrahataodustbinlagao,near [79] #muzaffarpur,muzaffarpura1 [77] verhaltensbezogene,daten Top Word Pairs in Tweet in G3:
[678] andhrapradeshcm,cdma_municipal [668] gvmc_visakha,andhrapradeshcm [472] vizag_smartcity,coc_gvmc [466] cdma_municipal,vizag_smartcity [219] coc_gvmc,vizag_smartcity [207] cdma_municipal,arogyaandhra [201] arogyaandhra,coc_gvmc [165] support,vizag [155] coc_gvmc,#swachhsurvekshan2022visakhapatnam [150] coc_gvmc,support Top Word Pairs in Tweet in G4:
[32] smart,city [12] smart,cities [6] म,र [6] capital,smart [6] learn,more [5] #github,#leak [5] #leak,#oauth [5] #oauth,#tokens [5] #tech,#technology [5] weho,smart Top Word Pairs in Tweet in G5:
[50] व,र [48] द,व [39] म,र [36] क,क [33] स,म [31] क,ल [31] र,म [30] क,र [30] स,क [26] श,र Top Word Pairs in Tweet in G6:
[58] exciting,part [58] part,pluscities [58] pluscities,project [58] project,such [58] such,influence [58] influence,future [58] future,green [58] green,municipal [56] municipal,developments [54] iota,exciting Top Word Pairs in Tweet in G7:
[31] toy,train [31] train,resembling [31] resembling,bullet [31] bullet,train [31] train,inaugurated [31] ಯ,ಜನ [28] inaugurated,hubballi [28] hubballi,joshipralhad [27] joshipralhad,hdsmartcity [27] ಯಲ,ಲ Top Word Pairs in Tweet in G8:
[42] त,र [41] म,र [41] स,ट [41] ट,प [41] त,त [40] स,म [40] र,ट [40] ट,स [40] प,रकल [40] रकल,प Top Word Pairs in Tweet in G9:
[9] muncorpgurugram,dc_gurugram [9] dc_gurugram,cpcb_official [9] cpcb_official,kpgbjp [9] kpgbjp,rao_inderjits [9] rao_inderjits,officialgmda [9] officialgmda,narendramodi [9] narendramodi,nishantyadavias [9] nishantyadavias,thanks [8] meragurgaon,muncorpgurugram [6] म,र Top Word Pairs in Tweet in G10:
[7] avnylavasa,hitesh_jammu [6] smart,anganwadis [5] jammu_smartcity,avnylavasa [5] smart,city [5] wow,hr [5] hr,#powercut [5] #powercut,jammu_smartcity [5] jammu_smartcity,#educationhub [5] #educationhub,#cityofhospitals [5] #cityofhospitals,#artificallake 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 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: