The graph represents a network of 5,103 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, 07 August 2020 at 00:50 UTC.
The requested start date was Friday, 07 August 2020 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 3-day, 19-hour, 22-minute period from Sunday, 02 August 2020 at 10:48 UTC to Thursday, 06 August 2020 at 06:10 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 : 5103
Unique Edges : 6239
Edges With Duplicates : 15435
Total Edges : 21674
Number of Edge Types : 5
MentionsInRetweet : 9716
Mentions : 4984
Retweet : 5230
Tweet : 1373
Replies to : 371
Self-Loops : 1564
Reciprocated Vertex Pair Ratio : 0.0363339457032047
Reciprocated Edge Ratio : 0.0701201496947016
Connected Components : 720
Single-Vertex Connected Components : 353
Maximum Vertices in a Connected Component : 3229
Maximum Edges in a Connected Component : 18501
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.880953
Graph Density : 0.000390005863531133
Modularity : 0.394549
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 5,103 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, 07 August 2020 at 00:50 UTC.
The requested start date was Friday, 07 August 2020 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 3-day, 19-hour, 22-minute period from Sunday, 02 August 2020 at 10:48 UTC to Thursday, 06 August 2020 at 06:10 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:
[431] #usa,#canada [402] #bigdata,#usa [382] #ai,#iot [329] #canada,#london [267] smart,cities [249] smart,city [201] #iot,#smartcities [199] #london,#australia [192] #iot,#iiot [175] ty,wef Top Word Pairs in Tweet in G1:
[429] #usa,#canada [400] #bigdata,#usa [327] #canada,#london [306] #ai,#iot [198] #london,#australia [166] #iot,#iiot [156] smart,cities [139] #bigdata,#ai [134] #iot,#5g [130] #ai,#machinelearning Top Word Pairs in Tweet in G2:
[131] ty,wef [113] wef,enricomolinari [87] intengineering,enricomolinari [76] #iot,#smartcities [75] #3dprinted,building [68] enricomolinari,#smartcities [65] #ai,#iot [63] wef,ty [61] enricomolinari,#iot [57] #smartcities,#ai Top Word Pairs in Tweet in G3:
[18] coc_gvmc,vizag_smartcity [18] smartcities_hua,mohua_india [13] gvmc_official,coc_gvmc [11] smart,city [10] india,cycles4change [10] cycles4change,challenge [9] swachhbharatgov,swachhbharat [8] र,व [7] vizag_smartcity,gummallasrijana [7] vizag_smartcity,swachhbharatgov Top Word Pairs in Tweet in G4:
[46] smart,city [20] #latestnews,#smartcities [19] smart,cities [17] gt,gt [13] public,sector [12] #smartcities,#smartcity [11] #cybersecurity,#smartcities [11] #smartcities,strengthened [11] strengthened,download [11] download,brochure Top Word Pairs in Tweet in G5:
[120] belagavi_infra,smartcity_hd [92] officialstarair,blrairport [92] blrairport,aaihbxairport [92] aaihbxairport,aaihindon [91] aaihindon,hubballiairport [83] smartcity_hd,officialstarair [63] smartcity_hd,hubballi_infra [61] hubballiairport,girnizameer [53] hubballi_infra,aaihbxairport [51] aaihbxairport,hubballiairport Top Word Pairs in Tweet in G6:
[19] mc_gwmc,collector_wglu [19] collector_wglu,ktrtrs [17] juandiegozelaya,chtvhn [16] madurirajkumar,dasyamofficial [16] dasyamofficial,mc_gwmc [16] ktrtrs,telanganacmo [16] telanganacmo,dayakarrao2019 [16] dayakarrao2019,kadiyamsrihari [16] acalidoniohn,juandiegozelaya [15] #warangal,#telangana Top Word Pairs in Tweet in G7:
[41] #smartcities,#smartcity [31] webinar,survival [31] survival,revival [31] revival,#startups [31] #startups,#covid [31] #covid,world [18] join,webinar [18] world,start [18] start,heroes [18] heroes,deliberate Top Word Pairs in Tweet in G8:
[71] l'indotto,italiano [68] italiano,favore [68] favore,francia [66] lascerà,l'indotto [58] fca,lascerà [48] roba,grossa [48] grossa,direi [48] direi,grossissima [48] grossissima,fca [47] michele_arnese,roba Top Word Pairs in Tweet in G9:
[24] visit,supermap [21] supermap,more [14] read,importance [14] importance,#innovation [14] #innovation,#geospatial [14] #geospatial,intelligence [14] intelligence,range [14] range,sectors [13] more,#3d [11] smart,cities Top Word Pairs in Tweet in G10:
[10] smartcityexpo,#ai [10] #ai,#smartcities [10] #smartcities,leverage [10] leverage,each [10] each,#urbanhealth [10] #urbanhealth,#iot [10] #iot,#bigdata [10] #bigdata,mt [10] mt,hellobluedot [10] hellobluedot,dahuahq 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 G9:
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: