The graph represents a network of 5,678 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 Saturday, 21 November 2020 at 01:51 UTC.
The requested start date was Friday, 20 November 2020 at 01:01 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, 13-hour, 48-minute period from Monday, 16 November 2020 at 11:11 UTC to Friday, 20 November 2020 at 01:00 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 : 5678
Unique Edges : 5792
Edges With Duplicates : 11556
Total Edges : 17348
Number of Edge Types : 5
MentionsInRetweet : 6296
Mentions : 4494
Retweet : 4469
Tweet : 1746
Replies to : 343
Self-Loops : 1881
Reciprocated Vertex Pair Ratio : 0.0400573956714098
Reciprocated Edge Ratio : 0.0770292021154288
Connected Components : 974
Single-Vertex Connected Components : 460
Maximum Vertices in a Connected Component : 3317
Maximum Edges in a Connected Component : 13883
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.485585
Graph Density : 0.000269839249890318
Modularity : 0.459066
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 5,678 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 Saturday, 21 November 2020 at 01:51 UTC.
The requested start date was Friday, 20 November 2020 at 01:01 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, 13-hour, 48-minute period from Monday, 16 November 2020 at 11:11 UTC to Friday, 20 November 2020 at 01:00 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:
[631] #iot,#iiot [565] smart,cities [542] smart,city [520] #rstats,#reactjs [392] #analytics,#ai [344] #linux,#serverless [318] #ai,#rstats [316] #bigdata,#datascience [286] #iiot,#linux [271] #reactjs,#iot Top Word Pairs in Tweet in G1:
[584] #iot,#iiot [518] #rstats,#reactjs [388] #analytics,#ai [341] #linux,#serverless [315] #ai,#rstats [314] #bigdata,#datascience [294] smart,cities [283] #iiot,#linux [269] #reactjs,#iot [261] #analytics,#machinelearning Top Word Pairs in Tweet in G2:
[47] smart,city [40] smart,cities [13] #iot,#smartcities [10] #smartcities,#smartcity [9] solutions,#smartcity [8] ट,स [8] create,clever [8] #cybersecurity,#airport [8] #futureworkspace,#blockchain [8] #blockchain,#network Top Word Pairs in Tweet in G3:
[64] smartcities_hua,mohua_india [47] mohua_india,nitishwarkumar [47] nitishwarkumar,srinagaradmin [47] srinagaradmin,nitiaayog [47] nitiaayog,drrpnishank [47] drrpnishank,samagrashiksha [47] samagrashiksha,minister_edu [46] sclsrinagar,smartcities_hua [45] manhasarun,perhaps_yaseen [45] perhaps_yaseen,sclsrinagar Top Word Pairs in Tweet in G4:
[49] smart,city [36] side,event [26] smart,cities [24] #sclive2020,#smartcities [22] #sclive2020,smartcityexpo [19] make,sure [18] share,experiences [17] covid,19 [16] 12,45 [16] 45,cet Top Word Pairs in Tweet in G5:
[39] #smartcities,#smartcity [31] smart,city [22] fetch_ai,datarella [16] #sclive2020,#smartcitiescv19 [16] datarella,announce [16] announce,smart [16] city,infrastructure [16] infrastructure,trials [16] trials,munich [13] 254,000 Top Word Pairs in Tweet in G6:
[23] smart,cities [22] #iot,#iiot [17] #smartcities,#digitalcities [17] #digitalcities,#planning [15] #planning,#iot [14] smart,city [10] #iiot,#cto [10] #cto,#cio [10] #cio,#aia [10] #aia,#apwa Top Word Pairs in Tweet in G7:
[22] smart,cities [13] cityofaurorail,citycoralgables [12] citycoralgables,cityofcos [11] cityofcos,houstontx [9] #smartcities,watch [9] including,philadelphiagov [8] #sclive2020,smart [8] first,brick [8] brick,#smartcity [8] #smartcity,service Top Word Pairs in Tweet in G8:
[14] क,क [10] upgovt,cmofficeup [10] agrabreaking,thimanshut [10] thimanshut,drdineshbjp [10] drdineshbjp,jagrannews [9] क,प [9] ह,क [9] न,व [8] क,न [8] क,ज Top Word Pairs in Tweet in G9:
[33] remote,procedure [33] procedure,london [33] london,based [33] based,surgeon [33] surgeon,californian [33] californian,banana [20] #iot,#5g [20] #ai,#ml [19] #smartcities,accelerate [19] accelerate,2020 Top Word Pairs in Tweet in G10:
[57] rendre,villes [56] comment,#5g [56] villes,encore [56] encore,plus [56] plus,intelligentes [55] #5g,rendre [52] intelligentes,participez [52] participez,wébinaire [52] wébinaire,explorez [52] explorez,promesses Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
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Top Tweeters in G10: