The graph represents a network of 4,513 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, 10 September 2021 at 00:39 UTC.
The requested start date was Friday, 10 September 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, 15-hour, 4-minute period from Friday, 03 September 2021 at 11:42 UTC to Wednesday, 08 September 2021 at 02:47 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 : 4513
Unique Edges : 5053
Edges With Duplicates : 14292
Total Edges : 19345
Number of Edge Types : 5
Mentions : 5002
MentionsInRetweet : 7694
Retweet : 5108
Tweet : 1187
Replies to : 354
Self-Loops : 1322
Reciprocated Vertex Pair Ratio : 0.026280731500545
Reciprocated Edge Ratio : 0.0512154826528204
Connected Components : 565
Single-Vertex Connected Components : 269
Maximum Vertices in a Connected Component : 3121
Maximum Edges in a Connected Component : 17105
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.281638
Graph Density : 0.000416153963412239
Modularity : 0.380182
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 4,513 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, 10 September 2021 at 00:39 UTC.
The requested start date was Friday, 10 September 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, 15-hour, 4-minute period from Friday, 03 September 2021 at 11:42 UTC to Wednesday, 08 September 2021 at 02:47 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:
[1183] #iot,#iiot [763] #iiot,#iotpl [687] #rstats,#reactjs [581] #iotpl,#iotcommunity [414] #iotcommunity,#intrernetofthings [399] #analytics,#machinelearning [398] #machinelearning,#ai [389] #intrernetofthings,#tech [371] #tech,#technology [345] #ai,#rstats Top Word Pairs in Tweet in G1:
[667] #rstats,#reactjs [631] #iot,#iiot [385] #analytics,#machinelearning [384] #machinelearning,#ai [337] #ai,#rstats [335] #analytics,#ai [280] #reactjs,#iot [275] #ai,#bigdata [270] #linux,#serverless [265] #python,#rstats Top Word Pairs in Tweet in G2:
[58] म,र [57] र,ट [53] स,म [51] व,र [51] स,ट [48] ट,स [48] jammu_smartcity,jmcjammu [46] mohua_india,smartcities_hua [42] न,क [40] jmcjammu,avnylavasa Top Word Pairs in Tweet in G3:
[20] smart,city [10] smart,cities [9] #smartcities,#smartcity [8] #capitalsmartcity,#smartcity [8] electric,car [8] car,teslas [8] teslas,electric [8] electric,cars [8] cars,learn [8] learn,mule Top Word Pairs in Tweet in G4:
[237] arc,advisory [237] advisory,group [235] go,arc [234] group,#firstperson [164] #firstperson,#marketresearch [113] #marketresearch,including [111] #iot,#smartcities [111] including,study [109] #digitaltransformation,#iot [107] smart,cities Top Word Pairs in Tweet in G5:
[33] #mangalore,govt [33] govt,work [33] work,run [33] run,very [33] very,slow [33] work,going [33] going,very [33] very,slowly [33] slowly,witout [33] witout,scientific Top Word Pairs in Tweet in G6:
[10] #renewableenergy,#sustainability [8] cmohry,mlkhattar [7] being,developed [7] mlkhattar,smartcities_hua [6] potus,joebiden's [6] joebiden's,executive [6] executive,order [6] order,improving [6] improving,nation [6] nation,#cybersecurity Top Word Pairs in Tweet in G7:
[483] #iot,#iiot [481] #iiot,#iotpl [409] #iotpl,#iotcommunity [348] #intrernetofthings,#tech [343] #iotcommunity,#intrernetofthings [324] #tech,#technology [319] #technology,#5g [314] #industry40,#smartcity [313] #smartthings,#internetofeverything [313] #internetofeverything,#industry40 Top Word Pairs in Tweet in G8:
[50] #iot,#iiot [29] seen,nothing [29] nothing,#iota [29] #iota,become [29] become,standard [29] standard,#iot [29] #iiot,unleash [24] unleash,#coordicide [22] #coordicide,mainnet [18] franklmarkus,seen Top Word Pairs in Tweet in G9:
[87] आज,स [87] स,म [87] म,र [87] र,ट [87] ट,स [87] स,ट [87] ट,अल [87] अल,गढ [87] गढ,क [87] क,सम Top Word Pairs in Tweet in G10:
[16] vizag_smartcity,coc_gvmc [14] gvmc_official,gummallasrijana [11] gummallasrijana,vizag_smartcity [9] gvmc_official,vizag_smartcity [6] coc_gvmc,gummallasrijana [4] under,#smartcitymission [4] gummallasrijana,coc_gvmc [4] coc_gvmc,vizag_smartcity [4] vizag_smartcity,greenclimatete1 [3] coc_gvmc,vizaggoap Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
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: