The graph represents a network of 4,235 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, 24 December 2021 at 01:41 UTC.
The requested start date was Friday, 24 December 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 4-day, 15-hour, 31-minute period from Wednesday, 15 December 2021 at 11:28 UTC to Monday, 20 December 2021 at 02:59 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 : 4235
Unique Edges : 5084
Edges With Duplicates : 14120
Total Edges : 19204
Number of Edge Types : 5
Retweet : 5319
MentionsInRetweet : 8396
Tweet : 1279
Mentions : 3952
Replies to : 258
Self-Loops : 1435
Reciprocated Vertex Pair Ratio : 0.0244818809841231
Reciprocated Edge Ratio : 0.0477936827161954
Connected Components : 500
Single-Vertex Connected Components : 246
Maximum Vertices in a Connected Component : 3055
Maximum Edges in a Connected Component : 17294
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.807385
Graph Density : 0.000471418477172761
Modularity : 0.366441
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 4,235 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, 24 December 2021 at 01:41 UTC.
The requested start date was Friday, 24 December 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 4-day, 15-hour, 31-minute period from Wednesday, 15 December 2021 at 11:28 UTC to Monday, 20 December 2021 at 02:59 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:
[1441] #iot,#iiot [1036] #machinelearning,#ai [983] #analytics,#machinelearning [854] #rstats,#reactjs [787] #reactjs,#iot [765] #ai,#python [705] #python,#rstats [523] #iiot,#linux [475] #iiot,#iotpl [467] #linux,#serverless Top Word Pairs in Tweet in G1:
[1067] #iot,#iiot [1011] #machinelearning,#ai [959] #analytics,#machinelearning [833] #rstats,#reactjs [767] #reactjs,#iot [746] #ai,#python [686] #python,#rstats [504] #iiot,#linux [452] #linux,#serverless [341] #serverless,#flutter Top Word Pairs in Tweet in G2:
[30] क,र [27] mohua_india,smartcities_hua [23] officeoflgjandk,manojsinha_ [22] म,र [22] क,स [21] स,ट [21] narendramodi,pmoindia [20] र,ट [20] smartcities_hua,mohua_india [19] स,म Top Word Pairs in Tweet in G3:
[168] #ai,#machinelearning [118] startupselfieco,spirosmargaris [92] #smartcity,#ces2022 [74] #machinelearning,#ces2022 [74] #ces2022,#smartcity [73] spirosmargaris,margaretsiegien [69] invade,cities [69] cities,#ai [69] #smartcity,startupselfieco [67] jblefevre60,invade Top Word Pairs in Tweet in G4:
[154] smart,cities [46] smart,city [41] neural,networks [41] networks,smart [38] africa,ditch [38] ditch,cash [36] #innovation,#digital [32] cash,#smartcity [30] #smartcity,#digital [30] #digital,#innovation Top Word Pairs in Tweet in G5:
[25] smart,city [23] smart,cities [15] #iot,#iiot [14] #smartcity,#iot [13] ମ,ର [13] #iiot,#analytics [13] #analytics,#tinyml [13] #tinyml,#edgecomputing [13] #edgecomputing,#5g [12] ସ,ମ Top Word Pairs in Tweet in G6:
[306] #iot,#iiot [285] #iiot,#iotpl [235] #iotpl,#iotcommunity [182] #intrernetofthings,#tech [169] #iotcommunity,#intrernetofthings [154] #tech,#technology [149] #smartthings,#internetofeverything [148] #internetofeverything,#industry40 [148] #industry40,#smartcity [148] #smartcity,#digitalcity Top Word Pairs in Tweet in G7:
[28] smart,city [26] world,economic [26] economic,forum [19] #smartcities,#technology [18] ubox,foldable [18] foldable,house [18] house,700 [18] 700,square [18] square,feet [18] feet,living Top Word Pairs in Tweet in G8:
[20] #smartcities,#smartbuildings [20] #smartbuildings,#iot [9] #iot,em_francois1 [9] em_francois1,sba_france [8] #personalized,medicine [8] medicine,#smartcity [8] #smartcity,key [8] key,analyse [8] analyse,interpret [8] interpret,collected Top Word Pairs in Tweet in G9:
[25] #luxturrim5g,solution [25] solution,developed [25] developed,ecosystem [25] ecosystem,26 [25] 26,partners [25] partners,led [25] led,nokia [25] nokia,ready [25] ready,global [24] global,markets Top Word Pairs in Tweet in G10:
[14] #nftgiveaway,#nfts [14] #nfts,#nftart [14] #nftart,#nft [14] #nft,#nftartists [14] #nftartists,#nftcollectors [14] #nftcollectors,#nftcommunity [14] #nftcommunity,#nftcollector [13] #nftcollector,#nftartist [13] #nftartist,#nftdrop [12] #nft,#nftgiveaway 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 G6:
Top Replied-To in G8:
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: