The graph represents a network of 6,392 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, 18 September 2020 at 00:40 UTC.
The requested start date was Friday, 18 September 2020 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, 18-hour, 24-minute period from Friday, 11 September 2020 at 16:14 UTC to Thursday, 17 September 2020 at 10:38 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 : 6392
Unique Edges : 6611
Edges With Duplicates : 12582
Total Edges : 19193
Number of Edge Types : 5
Tweet : 1373
Retweet : 5094
MentionsInRetweet : 8541
Mentions : 3913
Replies to : 272
Self-Loops : 1487
Reciprocated Vertex Pair Ratio : 0.0383208164837281
Reciprocated Edge Ratio : 0.073813056379822
Connected Components : 861
Single-Vertex Connected Components : 415
Maximum Vertices in a Connected Component : 3894
Maximum Edges in a Connected Component : 15099
Maximum Geodesic Distance (Diameter) : 20
Average Geodesic Distance : 5.732444
Graph Density : 0.000263981988125119
Modularity : 0.488449
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 6,392 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, 18 September 2020 at 00:40 UTC.
The requested start date was Friday, 18 September 2020 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, 18-hour, 24-minute period from Friday, 11 September 2020 at 16:14 UTC to Thursday, 17 September 2020 at 10:38 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:
[329] smart,cities [265] smart,city [264] र,म [261] व,र [261] म,द [260] भ,रत [257] #smartcity,क [257] द,व [256] द,ज [253] हम,र Top Word Pairs in Tweet in G1:
[192] #ai,#machinelearning [185] #ai,#iot [127] flying,car [126] smart,cities [124] #iot,#5g [113] #smartcity,#iot [110] car,powered [110] powered,hydrogen [96] #iot,#smartcity [96] #machinelearning,#robotics Top Word Pairs in Tweet in G2:
[43] smart,city [31] #ai,change [31] change,big [31] big,office [31] office,estate [31] estate,especially [31] especially,pandemic [31] pandemic,forbes [31] forbes,discusses [31] discusses,best Top Word Pairs in Tweet in G3:
[41] smart,city [21] coc_gvmc,vizag_smartcity [20] gvmc_official,coc_gvmc [19] द,क [19] व,ल [17] mohua_india,smartcities_hua [17] ज,क [16] bharat,ram [16] म,नन [16] नन,य Top Word Pairs in Tweet in G4:
[70] presente,hoy [67] #smartcities,futuro [67] futuro,sino [67] sino,presente [67] hoy,hemos [67] hemos,hablado [67] hablado,congresoci [67] congresoci,proyecto [66] begonavillacis,#smartcities [66] proyecto,valdeinn Top Word Pairs in Tweet in G5:
[69] #electricvehicles,#smartcities [68] elonmusk,tsla [68] tsla,#money [67] #money,#electricvehicles [63] elon,musk [63] musk,firestarter [63] firestarter,elonmusk [63] #smartcities,nkla [63] nkla,#nikola [63] #nikola,#innovation Top Word Pairs in Tweet in G6:
[24] future,technology [19] #cybersecurity,#smartcities [19] #smartcities,symposium [19] symposium,day [19] day,closing [19] closing,session [17] session,sean_martin [17] smart,cities [15] #utilities,#smartcities [15] #thenexteducation,#agentsofchange Top Word Pairs in Tweet in G7:
[169] अच,छ [169] छ,स [169] स,न [169] न,#google [169] #google,क [169] क,भ [169] भ,रत [169] रत,स [169] स,हट [169] हट,ओ Top Word Pairs in Tweet in G8:
[117] takeshiba,smartcity [117] smartcity,fes [112] スマートシティへと進化する竹芝,その中心となる [112] その中心となる,東京ポートシティ竹芝 [112] 東京ポートシティ竹芝,が開業 [112] が開業,開業イベント [112] 開業イベント,takeshiba [112] fes,を9月18日 [112] を9月18日,20日に開催 [53] 20日に開催,リアルでもオンラインでも楽しめる Top Word Pairs in Tweet in G9:
[17] america,first [17] first,world [17] world,#smartcity [17] #smartcity,centralizes [17] centralizes,management [17] management,#iot [17] #iot,devices [14] tamaramccleary,america [13] lorawan,101 [13] smart,cities Top Word Pairs in Tweet in G10:
[26] policiers,rare [26] rare,contrôle [26] contrôle,pollution [26] pollution,sonore [26] sonore,quasi [26] quasi,inexistant [26] inexistant,paris [26] paris,particulier [26] particulier,rues [25] aurelien_veron,policiers 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 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: