The graph represents a network of 5,236 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, 05 February 2021 at 01:43 UTC.
The requested start date was Friday, 05 February 2021 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, 16-hour, 44-minute period from Sunday, 31 January 2021 at 12:46 UTC to Thursday, 04 February 2021 at 05:30 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 : 5236
Unique Edges : 5309
Edges With Duplicates : 12888
Total Edges : 18197
Number of Edge Types : 5
Tweet : 1275
Mentions : 2989
Retweet : 5483
MentionsInRetweet : 8221
Replies to : 229
Self-Loops : 1449
Reciprocated Vertex Pair Ratio : 0.0273988711194732
Reciprocated Edge Ratio : 0.0533363854870093
Connected Components : 766
Single-Vertex Connected Components : 346
Maximum Vertices in a Connected Component : 3029
Maximum Edges in a Connected Component : 14472
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.519222
Graph Density : 0.000318746930916154
Modularity : 0.429035
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 5,236 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, 05 February 2021 at 01:43 UTC.
The requested start date was Friday, 05 February 2021 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, 16-hour, 44-minute period from Sunday, 31 January 2021 at 12:46 UTC to Thursday, 04 February 2021 at 05:30 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:
[881] #rstats,#reactjs [709] #datascience,#cloudcomputing [675] #datascientist,#datascience [657] #cloudcomputing,#futureofwork [654] #futureofwork,#bigdata [562] #bigdata,#machinelearning [512] #iot,#iiot [435] #ai,#datascientist [429] #python,#rstats [415] #analytics,#machinelearning Top Word Pairs in Tweet in G1:
[875] #rstats,#reactjs [699] #datascience,#cloudcomputing [667] #datascientist,#datascience [647] #cloudcomputing,#futureofwork [644] #futureofwork,#bigdata [554] #bigdata,#machinelearning [475] #iot,#iiot [428] #ai,#datascientist [425] #python,#rstats [412] #analytics,#machinelearning Top Word Pairs in Tweet in G2:
[63] ब,च [63] द,ग [60] च,द [49] म,र [48] स,म [47] र,ट [47] शहर,म [46] अध,क [45] sincere,gratitude [45] gratitude,mohua_india Top Word Pairs in Tweet in G3:
[37] smart,city [32] द,ग [30] ब,च [30] च,द [23] smart,cities [8] #smartcities,#smartcity [7] datafluct,smartcity [7] smartcity,series [7] द,श [6] #smartcity,#smartcities Top Word Pairs in Tweet in G4:
[43] #ai,#iot [30] suspended,monorail [30] monorail,japan [30] japan,jblefevre60 [30] jblefevre60,#datascience [30] #datascience,#automotive [30] #automotive,#transportation [30] #transportation,#engineering [30] #engineering,#technology [28] ronald_vanloon,suspended Top Word Pairs in Tweet in G5:
[157] smart,cities [115] dlt,iot [114] tangle,dlt [103] iot,smart [101] iota,tangle [95] we've,working [95] working,close [95] close,collaboration [95] collaboration,pluscities [95] pluscities,upgrade Top Word Pairs in Tweet in G6:
[25] smart,city [25] smart,cities [17] #smartcities,#smartcity [7] tpe_smartcity,#smartcity [6] #smartcity,#urbaninnovation [6] cities,dummies [6] ready,2021 [6] 2021,#taipei [6] #taipei,tpe_smartcity [6] #smartcity,#smarttaipei Top Word Pairs in Tweet in G7:
[125] smart,mobility [106] min,barbarapompili [105] #surat,min [105] barbarapompili,met [105] met,players [105] players,involved [105] involved,smart [105] mobility,sustainable [105] sustainable,city [105] city,projects Top Word Pairs in Tweet in G8:
[142] cabildo,abierto [95] sino,pudiste [95] pudiste,ver [95] ver,vivo [95] vivo,cabildo [95] abierto,puedes [95] puedes,ver [95] ver,youtube [95] youtube,facebook [95] facebook,paginas Top Word Pairs in Tweet in G9:
[22] द,ग [20] ब,च [20] च,द [11] #प,ण [11] ण,डर [11] डर,क_प [11] क_प,र [9] त,र [8] र,क [6] smartcities_hua,smartcitiesin Top Word Pairs in Tweet in G10:
[66] 10,000 [57] over,10 [57] 000,wallets [57] wallets,connected [57] connected,re [57] re,soooooo [57] soooooo,greatful [57] greatful,supports [56] cyberveingroup,over [56] supports,huob Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
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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:
Top Tweeters in G1:
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Top Tweeters in G10: