The graph represents a network of 7,890 Twitter users whose recent tweets contained "#smartcity", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Monday, 28 October 2019 at 17:28 UTC.
The tweets in the network were tweeted over the 9-day, 1-hour, 58-minute period from Saturday, 19 October 2019 at 14:29 UTC to Monday, 28 October 2019 at 16:28 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 : 7890
Unique Edges : 20560
Edges With Duplicates : 10328
Total Edges : 30888
Self-Loops : 2682
Reciprocated Vertex Pair Ratio : 0.0275467066684849
Reciprocated Edge Ratio : 0.0536164565361646
Connected Components : 1002
Single-Vertex Connected Components : 500
Maximum Vertices in a Connected Component : 5110
Maximum Edges in a Connected Component : 26368
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.157301
Graph Density : 0.000363166308962713
Modularity : 0.558257
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 7,890 Twitter users whose recent tweets contained "#smartcity", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Monday, 28 October 2019 at 17:28 UTC.
The tweets in the network were tweeted over the 9-day, 1-hour, 58-minute period from Saturday, 19 October 2019 at 14:29 UTC to Monday, 28 October 2019 at 16:28 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 : TwitterSearch
Graph Term : #smartcity
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 : Followers
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[748] #tech,#5g [661] smart,city [571] #ai,#iot [555] #iot,#smartcity [539] #smartcity,#iot [503] #robotics,#tech [501] smart,cities [449] cc,mikequindazzi [440] #5g,#driverless [439] #citios,#iot Top Word Pairs in Tweet in G1:
[440] cc,mikequindazzi [397] #tech,#5g [365] #robotics,#ai [361] #smartcity,#iot [329] jblefevre60,julez_norton [310] mvollmer1,kuriharan [308] #ai,#bigdata [293] #internetofthings,important [289] #bigdata,#tech [285] mikequindazzi,jblefevre60 Top Word Pairs in Tweet in G2:
[257] smart,cities [216] smart,city [204] #smartcities,#smartcity [157] #smartcity,#smartcities [142] #iot,#smartcity [56] #smartcities,#internetofthings [52] #smartcity,#iot [51] #smartcity,solutions [47] #iot,#blockchain [42] #smartcity,#bigdata Top Word Pairs in Tweet in G3:
[384] #citios,#iot [327] #ai,#iot [324] #robotics,#tech [321] #tech,#5g [306] #aiot,#lora [305] #5g,#driverless [304] #infrastructure,#aiot [303] #aicamera,#smartcity [301] #solarenergy,#aicamera [300] #iot,#infrastructure Top Word Pairs in Tweet in G4:
[100] smart,city [31] #smartcities,#smartcity [29] smart,cities [21] read,more [21] here,s [20] city,memphis [20] memphis,undergoing [20] undergoing,#digitaltransformation [20] #digitaltransformation,infrastructure [20] infrastructure,hiring Top Word Pairs in Tweet in G5:
[29] smart,city [24] padiglione,4 [24] 4,stand [24] stand,d12 [24] #smau,#tim5g [24] di,#smartcity [23] 24,ottobre [19] #tech,#5g [19] #ai,#iot [19] oggi,fino Top Word Pairs in Tweet in G6:
[12] jagadishshettar,joshipralhad [12] joshipralhad,s [12] s,#smartcity [12] #smartcity,#daretoshare [12] hubballi_infra,hublimandi [11] pmoindia,narendramodi [10] #faridabad,#smartcity [9] य,प [8] क,न [7] #nashik,#smartcity Top Word Pairs in Tweet in G7:
[124] partout,sur [124] sur,territoire [124] territoire,français [124] français,#smartcity [124] #smartcity,révèle [124] révèle,vrai [124] vrai,visage [124] visage,celui [124] celui,d [124] d,une Top Word Pairs in Tweet in G8:
[20] c,est [12] nouveaux,services [12] #paris15,franceencoree [12] franceencoree,koremb_fr [11] dans,quartier [11] une,autre [10] #innovation,#smartcity [10] au,cœur [10] grandparismgp,#smartcity [9] une,forêt Top Word Pairs in Tweet in G9:
[105] #urbanisme,#smartcity [99] #smartcity,#ville [99] #ville,#transports [96] #mobilité,#urbanisme [15] gt,gt [15] gt,#motivaction [11] s,cool [11] cool,bus [11] bus,ramassage [11] ramassage,scolaire Top Word Pairs in Tweet in G10:
[30] dome,home [30] home,never [30] never,gets [30] gets,hot [30] hot,rotates [30] rotates,itself [30] itself,away [30] away,sun [30] sun,architecture [30] architecture,future 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 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:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: