The graph represents a network of 4,994 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, 11 March 2022 at 01:41 UTC.
The requested start date was Friday, 11 March 2022 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 7-day, 10-hour, 40-minute period from Wednesday, 02 March 2022 at 16:10 UTC to Thursday, 10 March 2022 at 02:50 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 : 4994
Unique Edges : 8798
Edges With Duplicates : 20577
Total Edges : 29375
Number of Edge Types : 5
Retweet : 4092
MentionsInRetweet : 7414
Replies to : 1385
Mentions : 15194
Tweet : 1290
Self-Loops : 1485
Reciprocated Vertex Pair Ratio : 0.019042934438901
Reciprocated Edge Ratio : 0.0373741552889257
Connected Components : 598
Single-Vertex Connected Components : 331
Maximum Vertices in a Connected Component : 3647
Maximum Edges in a Connected Component : 27297
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.808079
Graph Density : 0.000581591159942702
Modularity : 0.407782
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 4,994 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, 11 March 2022 at 01:41 UTC.
The requested start date was Friday, 11 March 2022 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 7-day, 10-hour, 40-minute period from Wednesday, 02 March 2022 at 16:10 UTC to Thursday, 10 March 2022 at 02:50 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:
[1198] swachhbharatgov,swachsurvekshan [1185] swachsurvekshan,swachhbharat [1181] swachhaandhra,swachhbharatgov [1153] gvmc_visakha,swachhaandhra [1129] àª,ઠ[1107] vizag_smartcity,coc_gvmc [1078] mohua_india,amritmahotsav [1031] cdma_municipal,vizag_smartcity [1016] #iot,#iiot [846] andhrapradeshcm,mohua_india Top Word Pairs in Tweet in G1:
[1014] #iot,#iiot [768] #iiot,#iotpl [530] #iotpl,#iotcl [435] #iotcommunity,#intrernetofthings [401] #iotcl,#iotcommunity [398] #industry40,#smartcity [393] #5g,#smartthings [387] #internetofeverything,#industry40 [386] #smartthings,#internetofeverything [360] smart,cities Top Word Pairs in Tweet in G2:
[1193] swachhbharatgov,swachsurvekshan [1181] swachhaandhra,swachhbharatgov [1178] swachsurvekshan,swachhbharat [1153] gvmc_visakha,swachhaandhra [1107] vizag_smartcity,coc_gvmc [1078] mohua_india,amritmahotsav [1031] cdma_municipal,vizag_smartcity [846] andhrapradeshcm,mohua_india [845] swachhbharat,andhrapradeshcm [778] amritmahotsav,cdma_municipal Top Word Pairs in Tweet in G3:
[49] म,र [43] र,ट [41] स,म [35] स,ट [25] क,प [23] ट,स [23] œà,œà [21] #smartcity,#hriday [21] ªà,ªà [20] न,क Top Word Pairs in Tweet in G4:
[250] àª,ઠ[46] smart,cities [26] smart,city [25] #automation,#smartcity [16] great,resignation [16] resignation,pushing [16] pushing,trucking [16] trucking,industry [16] industry,seriously [16] seriously,consider Top Word Pairs in Tweet in G5:
[11] #rri,toolkit [11] toolkit,#guide [11] #guide,#citizenengagement [11] #citizenengagement,#smartcities [9] smart,city [9] rritools,#rri [8] #smartcities,designed [8] designed,help [8] help,#cities [8] #valã,ncia Top Word Pairs in Tweet in G6:
[65] unlike,sensor [65] sensor,system [65] system,world [65] #smartcities,#infrastructure [65] #infrastructure,#botda [64] world,dpls [64] #botda,#bridges [63] re,unlike [63] dpls,#smartcities [61] #bridges,#infrastructur Top Word Pairs in Tweet in G7:
[3] smart,cities [3] live,learn [3] learn,work [3] work,play [3] know,#tampa [3] #tampa,one [3] one,three [3] three,#connectedvehicles [3] #connectedvehicles,pilots [3] pilots,sponsored Top Word Pairs in Tweet in G8:
[29] smart,city [19] city,index [19] index,2021 [19] 2021,bitkom [19] bitkom,digital [19] digital,deutschlands [15] inno_trends,smart [10] deutschlands,großstädte [9] deutschlands,groãÿstã [9] groãÿstã,dte Top Word Pairs in Tweet in G9:
[15] #à,ªà [13] karnaldc,karnalsmartcity [13] karnalsmartcity,dipro_karnal [13] dipro_karnal,karnallive [13] karnallive,igkarnal [13] igkarnal,karnal [13] karnal,mckarnal [13] mckarnal,response [11] response,mckarnal [10] mckarnal,street Top Word Pairs in Tweet in G10:
[680] àª,ઠ[53] ટ,ર [51] ર,ટ [40] એરપ,ર [33] ર,ક [33] સ,ટ [31] ર,ડ [22] àª,પઠ[22] સ,રતન [21] મ,ટ 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 G6:
Top Replied-To in G7:
Top Replied-To in G8:
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:
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Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: