The graph represents a network of 5,358 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, 26 March 2021 at 00:41 UTC.
The requested start date was Friday, 26 March 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 3-day, 4-hour, 2-minute period from Monday, 22 March 2021 at 00:26 UTC to Thursday, 25 March 2021 at 04:29 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 : 5358
Unique Edges : 5586
Edges With Duplicates : 12940
Total Edges : 18526
Number of Edge Types : 5
Retweet : 5221
MentionsInRetweet : 8070
Mentions : 3583
Replies to : 227
Tweet : 1425
Self-Loops : 1558
Reciprocated Vertex Pair Ratio : 0.032284477716692
Reciprocated Edge Ratio : 0.0625495750708215
Connected Components : 795
Single-Vertex Connected Components : 402
Maximum Vertices in a Connected Component : 3341
Maximum Edges in a Connected Component : 15251
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.892088
Graph Density : 0.000307461228703563
Modularity : 0.428245
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 5,358 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, 26 March 2021 at 00:41 UTC.
The requested start date was Friday, 26 March 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 3-day, 4-hour, 2-minute period from Monday, 22 March 2021 at 00:26 UTC to Thursday, 25 March 2021 at 04:29 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:
[1048] #rstats,#reactjs [974] #iot,#iiot [598] #ai,#rstats [426] #analytics,#bigdata [416] #bigdata,#ai [371] #machinelearning,#ai [361] #analytics,#machinelearning [313] #ai,#iot [312] #reactjs,#iot [301] smart,cities Top Word Pairs in Tweet in G1:
[1040] #rstats,#reactjs [774] #iot,#iiot [594] #ai,#rstats [423] #analytics,#bigdata [413] #bigdata,#ai [368] #machinelearning,#ai [358] #analytics,#machinelearning [310] #reactjs,#iot [265] #linux,#serverless [259] #ai,#iot Top Word Pairs in Tweet in G2:
[175] #iot,#iiot [173] #iiot,#iotpl [134] #tech,#technology [131] smart,cities [116] #5g,#smartthings [107] #technology,#5g [106] #industry40,#smartcity [105] #smartthings,#internetofeverything [104] #internetofeverything,#industry40 [91] #iotpl,#iotcommunity Top Word Pairs in Tweet in G3:
[37] smart,city [31] advent,#selfdriving [31] #selfdriving,cars [31] cars,spur [31] spur,development [31] development,see [31] see,pedestrian [31] pedestrian,wearable [31] wearable,safety [31] safety,gear Top Word Pairs in Tweet in G4:
[92] स,ट [75] र,ट [71] स,म [70] म,र [64] ट,स [50] क,स [44] workshop,conducted [44] म,जफ [44] जफ,फरप [44] फरप,र Top Word Pairs in Tweet in G5:
[33] #ai,#iot [18] #selfdrivingcars,#ai [15] south,korea [15] korea,created [15] created,entire [15] entire,town [15] town,testing [15] testing,#selfdrivingcars [15] #selfdrivingcars,reuters [15] reuters,buzzfeednews Top Word Pairs in Tweet in G6:
[116] today,reviewed [116] reviewed,#srinagarsmartcity [116] #srinagarsmartcity,project [116] project,discussed [116] discussed,modalities [116] modalities,make [116] make,prestigious [116] prestigious,project [116] project,more [116] more,sustainable Top Word Pairs in Tweet in G7:
[105] stpiindia,#smartcities [102] #smartcities,leverage [102] leverage,connected [102] connected,data [102] data,sensors [102] sensors,time [102] time,detect [102] detect,accidents [102] accidents,faster [102] faster,save Top Word Pairs in Tweet in G8:
[23] smart,city [20] touts,#smartcity [20] #smartcity,development [20] development,#taiwan [19] iingwen,touts [19] summit,expo [18] taiwan_today,iingwen [18] quinterocalle,kp_taipei [17] kp_taipei,tpe_smartcity [9] mayors',summit Top Word Pairs in Tweet in G9:
[25] #iota,partnerships [25] partnerships,last [25] last,60 [25] 60,days [25] days,cartesi [25] cartesi,#smartcontracts [25] #smartcontracts,cartesiproject [25] cartesiproject,chaise [25] chaise,consortium [25] consortium,#ecosystem Top Word Pairs in Tweet in G10:
[8] #horizon2020,replicateeu [8] replicateeu,lighthouse [8] lighthouse,project's [8] project's,final [8] final,conference [8] conference,friday [8] friday,march [8] march,coordinated [8] coordinated,#ernact [8] #ernact,member Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: