The graph represents a network of 4,540 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, 02 April 2021 at 00:41 UTC.
The requested start date was Friday, 02 April 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, 13-hour, 43-minute period from Sunday, 28 March 2021 at 14:50 UTC to Thursday, 01 April 2021 at 04:34 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 : 4540
Unique Edges : 5348
Edges With Duplicates : 13244
Total Edges : 18592
Number of Edge Types : 5
Retweet : 5298
MentionsInRetweet : 8526
Mentions : 3220
Tweet : 1370
Replies to : 178
Self-Loops : 1525
Reciprocated Vertex Pair Ratio : 0.0342256447867009
Reciprocated Edge Ratio : 0.0661860300200922
Connected Components : 672
Single-Vertex Connected Components : 338
Maximum Vertices in a Connected Component : 2825
Maximum Edges in a Connected Component : 15831
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.943598
Graph Density : 0.000410587439450363
Modularity : 0.384248
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 4,540 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, 02 April 2021 at 00:41 UTC.
The requested start date was Friday, 02 April 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, 13-hour, 43-minute period from Sunday, 28 March 2021 at 14:50 UTC to Thursday, 01 April 2021 at 04:34 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:
[1135] #iot,#iiot [764] #rstats,#reactjs [610] #iiot,#iotpl [352] #python,#rstats [338] #iotpl,#iotcommunity [337] #cloudcomputing,#futureofwork [328] #analytics,#machinelearning [326] #bigdata,#ai [309] #futureofwork,#datascientist [305] #ai,#iot Top Word Pairs in Tweet in G1:
[807] #iot,#iiot [746] #rstats,#reactjs [339] #python,#rstats [329] #cloudcomputing,#futureofwork [319] #analytics,#machinelearning [313] #bigdata,#ai [301] #futureofwork,#datascientist [293] #ai,#iot [293] #analytics,#bigdata [286] #ai,#python Top Word Pairs in Tweet in G2:
[132] smart,cities [44] smart,city [33] save,date [21] digital,twins [20] 10,june [20] #digital,#digitaltransformation [19] #smartcities,#iot [19] #smartcity,#innovation [19] cities,planned [19] planned,south Top Word Pairs in Tweet in G3:
[23] र,ट [22] जबलप,र [20] secretary_mohua,smartcities_hua [19] ट,स [18] म,र [17] ल,क [17] क,र [17] स,ट [16] क,य [16] क,स Top Word Pairs in Tweet in G4:
[31] smart,city [27] smart,cities [18] city's,network [18] network,impact [18] impact,access [18] access,critical [18] critical,resources [18] resources,such [18] such,water [18] water,read Top Word Pairs in Tweet in G5:
[81] #smartcity,wef [78] china,testing [78] testing,hyperloop [78] hyperloop,technology [78] technology,#mobility [78] #mobility,#smartcity [78] wef,evankirstel [78] evankirstel,rwang0 [78] rwang0,fabriziobustama [78] fabriziobustama,mvollmer1 Top Word Pairs in Tweet in G6:
[76] south,korea [76] korea,created [76] created,entire [76] entire,town [76] town,testing [74] testing,#selfdrivingcars [70] ronald_vanloon,south [66] #selfdrivingcars,buzzfeednews [65] buzzfeednews,#ev [65] #ev,#smartcar Top Word Pairs in Tweet in G7:
[314] #iiot,#iotpl [309] #iot,#iiot [211] #5g,#smartthings [209] #tech,#technology [190] #smartthings,#internetofeverything [188] #technology,#5g [185] #industry40,#smartcity [184] #iotpl,#iotcommunity [184] #internetofeverything,#industry40 [129] #intrernetofthings,#tech Top Word Pairs in Tweet in G8:
[18] #smartcities,#smartcity [9] #smartcity,solutions [8] smart,city [8] plant,700 [8] solutions,#riskierworld [7] cities,#smartcities [7] city,sydney [7] sydney,announced [7] announced,plans [7] plans,plant Top Word Pairs in Tweet in G9:
[35] #edagcitybot,#futuremobility [35] #futuremobility,#smartcity [34] edaggroup,#edagcitybot [15] still,join [15] join,workshop [15] workshop,#dlts [15] #dlts,construction [15] construction,demonstrate [15] demonstrate,iota [15] iota,implementation Top Word Pairs in Tweet in G10:
[7] grounding,#smartcity [7] #smartcity,vision [7] vision,turn [7] turn,reality [7] reality,requires [7] requires,orchestration [7] orchestration,efforts [7] efforts,variety [6] moniquecalisti,grounding [6] variety,co 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 G8:
Top Replied-To in G9:
Top Replied-To in G10:
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: