The graph represents a network of 5,211 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, 26 June 2021 at 00:37 UTC.
The requested start date was Friday, 25 June 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 2-day, 21-hour, 33-minute period from Tuesday, 22 June 2021 at 02:26 UTC to Friday, 25 June 2021 at 00:00 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 : 5211
Unique Edges : 6159
Edges With Duplicates : 14952
Total Edges : 21111
Number of Edge Types : 5
Mentions : 5434
Retweet : 4858
MentionsInRetweet : 8822
Tweet : 1153
Replies to : 844
Self-Loops : 1268
Reciprocated Vertex Pair Ratio : 0.0308064693585653
Reciprocated Edge Ratio : 0.0597715871491088
Connected Components : 667
Single-Vertex Connected Components : 306
Maximum Vertices in a Connected Component : 3342
Maximum Edges in a Connected Component : 18167
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.426961
Graph Density : 0.000345091643213032
Modularity : 0.391113
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 5,211 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, 26 June 2021 at 00:37 UTC.
The requested start date was Friday, 25 June 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 2-day, 21-hour, 33-minute period from Tuesday, 22 June 2021 at 02:26 UTC to Friday, 25 June 2021 at 00:00 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:
[1076] #iot,#iiot [965] tns_corp,tiaonline [965] tiaonline,global [965] global,conference [965] conference,learn [965] learn,#blockchain [964] join,tns_corp [964] #blockchain,used [878] used,enhance [679] enhance,#ict Top Word Pairs in Tweet in G1:
[736] #iot,#iiot [627] #rstats,#reactjs [573] #reactjs,#iot [458] #machinelearning,#ai [423] ideas,2021 [419] app,ideas [410] 2021,valuecoders [397] #analytics,#machinelearning [362] #machinelearning,app [322] #ai,#5g Top Word Pairs in Tweet in G2:
[920] tns_corp,tiaonline [920] tiaonline,global [920] global,conference [920] conference,learn [920] learn,#blockchain [919] join,tns_corp [919] #blockchain,used [846] used,enhance [666] enhance,#ict [602] #cybersecurity,#smartcities Top Word Pairs in Tweet in G3:
[80] smart,city [68] mohua_india,smartcities_hua [65] srinagar,smart [46] mohua_india,secretary_mohua [43] officeoflgjandk,nitishwarkumar [43] dearth,talent [42] looks,done [42] done,local [42] local,artists [42] artists,srinagar Top Word Pairs in Tweet in G4:
[31] smart,city [19] smart,cities [19] ସ,ମ [19] ମ,ର [19] ର,ଟ [15] ଟ,ସ [15] ସ,ଟ [14] କ,ନ [12] ତ,କ [12] ଗର,ବ Top Word Pairs in Tweet in G5:
[99] smart,cities [41] arc,advisory [40] visit,arc [40] advisory,group [40] group,first [40] first,person [38] arc,advisory's [33] smart,city [32] advisory's,#smartcities [32] #smartcities,#podcast Top Word Pairs in Tweet in G6:
[12] gt,gt [10] ht,wswmuc [9] smart,cities [8] know,atos [8] atos,siemens' [8] siemens',manage [8] manage,more [8] more,130 [8] 130,million [8] million,#smartmeters Top Word Pairs in Tweet in G7:
[322] #iiot,#iotpl [316] #iot,#iiot [277] #iotpl,#iotcommunity [241] #tech,#technology [232] #technology,#5g [231] #5g,#smartthings [231] #smartthings,#internetofeverything [230] #iotcommunity,#intrernetofthings [229] #industry40,#smartcity [228] #internetofeverything,#industry40 Top Word Pairs in Tweet in G8:
[35] स,म [35] र,ट [32] म,र [31] ट,स [28] स,ट [22] र,क [21] क,ट [15] य,क [15] इल,क [15] ट,र Top Word Pairs in Tweet in G9:
[30] primer,congrés [29] magnífica,notícia [29] notícia,#valència [29] #valència,és [29] és,escollida [29] escollida,primer [29] congrés,xarxa [29] xarxa,estatal [29] estatal,ciutats [29] ciutats,#smartcity Top Word Pairs in Tweet in G10:
[11] nota,#smartcities [11] #smartcities,#opendata [11] #opendata,gobiernos [11] gobiernos,abiertos [11] abiertos,enfoque [11] enfoque,smart [11] smart,oportunidades [11] oportunidades,alcance [10] paradiplomacia,nota [10] alcance,ciudadaní 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 Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: