The graph represents a network of 5,970 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, 16 October 2020 at 00:39 UTC.
The requested start date was Friday, 16 October 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 3-day, 10-hour, 19-minute period from Monday, 12 October 2020 at 00:18 UTC to Thursday, 15 October 2020 at 10:37 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 : 5970
Unique Edges : 6332
Edges With Duplicates : 12409
Total Edges : 18741
Number of Edge Types : 5
Mentions : 3765
MentionsInRetweet : 8196
Retweet : 5038
Tweet : 1478
Replies to : 264
Self-Loops : 1623
Reciprocated Vertex Pair Ratio : 0.037636626108476
Reciprocated Edge Ratio : 0.0725429792308457
Connected Components : 803
Single-Vertex Connected Components : 367
Maximum Vertices in a Connected Component : 3835
Maximum Edges in a Connected Component : 15299
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 6.072347
Graph Density : 0.000282391462534092
Modularity : 0.476655
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 5,970 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, 16 October 2020 at 00:39 UTC.
The requested start date was Friday, 16 October 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 3-day, 10-hour, 19-minute period from Monday, 12 October 2020 at 00:18 UTC to Thursday, 15 October 2020 at 10:37 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:
[557] #iot,#iiot [548] #machinelearning,#ai [535] #analytics,#machinelearning [503] smart,cities [470] smart,city [463] #rstats,#reactjs [422] #java,#rstats [388] #reactjs,#iot [312] #ai,#java [180] #ai,#iot Top Word Pairs in Tweet in G1:
[526] #machinelearning,#ai [518] #iot,#iiot [515] #analytics,#machinelearning [447] #rstats,#reactjs [412] #java,#rstats [374] #reactjs,#iot [304] #ai,#java [168] #ai,#iot [158] smart,cities [144] #javascript,#rstats Top Word Pairs in Tweet in G2:
[34] mohua_india,smartcities_hua [22] ranchi,municipal [22] municipal,corporation [22] smartcities_hua,mohua_india [17] corporation,using [17] using,mechanized [17] mechanized,sweeping [17] sweeping,machines [17] machines,carry [17] carry,cleanliness Top Word Pairs in Tweet in G3:
[151] smart,cities [75] smart,city [49] #smartcities,#smartcity [26] #smartcity,#smartcitiescv19 [25] future,shock [25] short,term [23] pwc,city [23] term,actions [21] #smartcities,#cybersecurity [19] city,prepared Top Word Pairs in Tweet in G4:
[41] smart,city [20] #smartcities,#smartcity [17] smart,cities [13] expo,latam [12] #smartcity,expo [12] latam,congress [11] #smartcity,#smartcities [8] #smartcity,#iot [7] क,य [6] ai,venturetech Top Word Pairs in Tweet in G5:
[24] smart,city [20] #urbanrooftopfarms,providing [20] providing,#food [20] #food,growing [20] growing,communities [20] communities,helping [20] helping,#environment [20] #environment,#urbanenvironment [19] smartcityexpo,#urbanrooftopfarms [19] #urbanenvironment,#f Top Word Pairs in Tweet in G6:
[50] smart,cities [33] climate,change [30] #smartcity,#innovation [29] smart,city [23] fighting,climate [23] change,africa [23] africa,innovative [23] innovative,financing [18] cities,2020 [18] financing,business Top Word Pairs in Tweet in G7:
[8] projet,#smartcity [8] villeintelmag,#smartcity [7] aujourd,hui [7] interview,enregistrée [7] enregistrée,coin [7] coin,table [7] table,mais [7] mais,oui [7] oui,sûrement [7] sûrement,beaucoup Top Word Pairs in Tweet in G8:
[78] #sanpedrosula,seguimos [78] seguimos,innovando [78] innovando,acercando [78] acercando,tecnología [78] tecnología,nuestros [78] nuestros,vecinos [78] vecinos,facilitando [78] facilitando,nuestros [78] nuestros,servicios [77] munisps0501,#sanpedrosula Top Word Pairs in Tweet in G9:
[118] ம,ம [85] த,ட [82] ட,ச [79] டத,த [78] க,ம [76] #smartcity,த [67] க,க [65] பட,ட [62] ம,வட [62] ட,டம Top Word Pairs in Tweet in G10:
[24] groupelaposte,banquedesterr [24] nexity,groupelaposte [23] banquedesterr,s'associent [23] s'associent,penser [23] penser,#villeintelligente [23] #villeintelligente,travers [23] travers,ses [23] ses,usages [23] usages,rassemblant [22] nexity,nexity 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 G7:
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:
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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: