The graph represents a network of 5,243 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, 24 June 2022 at 00:23 UTC.
The requested start date was Friday, 24 June 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 4-day, 13-hour, 3-minute period from Saturday, 18 June 2022 at 13:56 UTC to Thursday, 23 June 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 : 5243
Unique Edges : 5803
Edges With Duplicates : 15117
Total Edges : 20920
Number of Edge Types : 5
Mentions : 6255
MentionsInRetweet : 7879
Retweet : 5094
Tweet : 1279
Replies to : 413
Self-Loops : 1443
Reciprocated Vertex Pair Ratio : 0.029776936026936
Reciprocated Edge Ratio : 0.0578318177173802
Connected Components : 682
Single-Vertex Connected Components : 345
Maximum Vertices in a Connected Component : 3453
Maximum Edges in a Connected Component : 17917
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.161768
Graph Density : 0.000356100607026552
Modularity : 0.41269
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 5,243 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, 24 June 2022 at 00:23 UTC.
The requested start date was Friday, 24 June 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 4-day, 13-hour, 3-minute period from Saturday, 18 June 2022 at 13:56 UTC to Thursday, 23 June 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:
[2037] #iot,#iiot [1812] #ai,#iot [1634] #iiot,#cx [1563] #cx,#machinelearning [1481] #machinelearning,#selfdrivingcars [1364] #selfdrivingcars,#fashiontech [1260] #fashiontech,#smartcity [531] smart,city [520] #smartcity,#autonomousvehicle [369] cheatsheet,#ai Top Word Pairs in Tweet in G1:
[1783] #ai,#iot [1744] #iot,#iiot [1616] #iiot,#cx [1548] #cx,#machinelearning [1466] #machinelearning,#selfdrivingcars [1354] #selfdrivingcars,#fashiontech [1249] #fashiontech,#smartcity [515] #smartcity,#autonomousvehicle [364] cheatsheet,#ai [350] data,structure Top Word Pairs in Tweet in G2:
[219] #smartcitiesmission,#sabkabharatnikhartabharat [147] citizen,impact [144] smart,city [140] impact,story [81] smartcities_hua,mohua_india [56] mohua_india,hardeepspuri [53] #sabkabharatnikhartabharat,smartcities_hua [52] hardeepspuri,secretary_mohua [49] #sabkabharatnikhartabharat,mohua_india [46] drains,left Top Word Pairs in Tweet in G3:
[284] #iot,#iiot [217] #iotpl,#iotcl [207] #iiot,#iotpl [158] #iotcl,#iotcommunity [151] iotcommunity,iotchannel [129] #iotcommunity,#intrernetofthings [128] #industry40,#smartcity [128] #5g,#smartthings [123] #smartthings,#internetofeverything [123] #internetofeverything,#industry40 Top Word Pairs in Tweet in G4:
[156] #smartcityajmer,#smartcityajmer [89] smart,city [56] smart,cities [38] four,pillars [38] pillars,needed [38] needed,successfully [38] successfully,build [38] build,#smartcity [38] #smartcity,legacy [38] legacy,migration Top Word Pairs in Tweet in G5:
[49] #smartcity,live [48] great,see [48] see,#alfried [48] #alfried,control [48] control,center [48] center,#smartcity [48] live,friedrichshafen [48] friedrichshafen,alfried_fn [48] alfried_fn,filancoregmbh [48] filancoregmbh,etogruppe Top Word Pairs in Tweet in G6:
[140] #cdac,#intelligent [140] #intelligent,#transportation [140] #transportation,#systems [140] #systems,providing [140] providing,#traffic [140] #traffic,#management [140] #management,21 [140] 21,cities [140] cities,including [140] including,#smart Top Word Pairs in Tweet in G7:
[80] smart,city [28] city,harnesses [28] harnesses,technology [28] technology,become [28] become,enabling [28] enabling,factor [28] factor,improving [28] improving,quality [28] quality,life [28] life,improving Top Word Pairs in Tweet in G8:
[19] renuka,nagar [18] parts,renuka [18] nagar,central [18] central,excise [18] excise,colony [18] colony,#hubballi [18] #hubballi,developed [18] developed,under [18] under,#smartcity [18] #smartcity,funds Top Word Pairs in Tweet in G9:
[18] #smartcities,#smartcity [10] #smartcity,project [8] 14,15 [8] #valencia's,#smartcity [6] smart,city [6] city,expo [6] #smartcities,#futurecities [6] angel,navarro [6] navarro,lasnavesinn [6] lasnavesinn,mobility Top Word Pairs in Tweet in G10:
[14] hihyderabad,serish [14] serish,ktrtrs [14] ktrtrs,incredibleindia [14] incredibleindia,thubhyd [14] thubhyd,wehubhyderabad [14] wehubhyderabad,invtelangana [14] invtelangana,smartcities_hua [14] smartcities_hua,konathamdileep [14] konathamdileep,raokavitha [14] raokavitha,swachhhyd 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 G7:
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: