The graph represents a network of 5,659 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, 10 June 2022 at 00:22 UTC.
The requested start date was Friday, 10 June 2022 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 5-day, 20-hour, 48-minute period from Friday, 03 June 2022 at 06:10 UTC to Thursday, 09 June 2022 at 02:58 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 : 5659
Unique Edges : 6635
Edges With Duplicates : 13533
Total Edges : 20168
Number of Edge Types : 5
Retweet : 4516
MentionsInRetweet : 7561
Tweet : 1406
Mentions : 6047
Replies to : 638
Self-Loops : 1577
Reciprocated Vertex Pair Ratio : 0.0328643216080402
Reciprocated Edge Ratio : 0.0636372482241899
Connected Components : 758
Single-Vertex Connected Components : 398
Maximum Vertices in a Connected Component : 3762
Maximum Edges in a Connected Component : 17015
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.126241
Graph Density : 0.000320969465831478
Modularity : 0.451709
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 5,659 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, 10 June 2022 at 00:22 UTC.
The requested start date was Friday, 10 June 2022 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 5-day, 20-hour, 48-minute period from Friday, 03 June 2022 at 06:10 UTC to Thursday, 09 June 2022 at 02:58 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:
[672] #iot,#iiot [451] smart,city [440] #iotpl,#iotcl [415] #iiot,#iotpl [398] #ai,#machinelearning [374] #selfdrivingcars,#autonomousvehicles [373] #machinelearning,#selfdrivingcars [320] #bigdata,#analytics [313] #autonomousvehicles,#bigdata [305] smart,cities Top Word Pairs in Tweet in G1:
[667] #iot,#iiot [438] #iotpl,#iotcl [414] #iiot,#iotpl [389] #ai,#machinelearning [365] #selfdrivingcars,#autonomousvehicles [364] #machinelearning,#selfdrivingcars [315] #bigdata,#analytics [306] #autonomousvehicles,#bigdata [298] #iotcl,#iotcommunity [213] iotcommunity,iotchannel Top Word Pairs in Tweet in G2:
[62] स,ट [62] र,ट [59] म,र [58] world,bicycle [58] bicycle,day [57] smart,city [56] स,म [55] ट,स [54] क,स [50] mohua_india,smartcities_hua Top Word Pairs in Tweet in G3:
[75] smart,city [39] seldom,talked [39] talked,topic [39] topic,#cybersecurity [39] #cybersecurity,water [39] water,systems [39] systems,environmental [39] environmental,protection [39] protection,agency [39] agency,aims Top Word Pairs in Tweet in G4:
[110] smart,cities [102] smart,city [37] guest,smart [37] city,podcast [37] podcast,live [37] live,until [28] innovative,source [28] source,financing [28] smart,road [26] #arcforum,americas Top Word Pairs in Tweet in G5:
[197] #smartcity,#greencity [156] #greencity,#gambia [110] #gambia,#tafcity [98] tafnjie,#tafcity [93] 100,#giveaway [93] #giveaway,grabs [93] grabs,construct [93] construct,10 [93] 10,words [93] words,sentence Top Word Pairs in Tweet in G6:
[87] #smartcities,significant [87] significant,initiative [87] initiative,government [87] government,#akamegashow [87] #akamegashow,witness [87] witness,inauguration [87] inauguration,two [82] two,townships [81] dpe_goi,#smartcities [25] hr,addl Top Word Pairs in Tweet in G7:
[25] expo,latam [23] latam,congress [21] smartcity,expo [12] vamos,conmemorar [12] conmemorar,día [12] día,bicicleta [12] bicicleta,regalando [12] regalando,pases [12] pases,smartcity [12] congress,único Top Word Pairs in Tweet in G8:
[20] seien,dabei [20] dabei,gemeinsam [20] gemeinsam,expert [20] expert,innen [20] innen,#energiewirtschaft [20] #energiewirtschaft,nachhaltige [20] nachhaltige,sichere [17] smart,city [16] sichere,#digitaltechnologien [10] #smartcity,projekte Top Word Pairs in Tweet in G9:
[22] smart,city [17] adopting,right [17] right,technology [17] technology,right [17] right,governance [17] governance,policies [17] policies,smart [17] city,help [17] help,solve [17] solve,many Top Word Pairs in Tweet in G10:
[14] न,र [9] ट,क [8] व,क [8] त,ज [8] क,न [7] नगर,न [7] न,गम [7] गम,म [7] म,स [7] स,म Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
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: