The graph represents a network of 6,385 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, 23 October 2020 at 00:40 UTC.
The requested start date was Friday, 23 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, 18-hour, 27-minute period from Sunday, 18 October 2020 at 16:09 UTC to Thursday, 22 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 : 6385
Unique Edges : 6528
Edges With Duplicates : 12338
Total Edges : 18866
Number of Edge Types : 5
Retweet : 4760
MentionsInRetweet : 7478
Mentions : 4595
Tweet : 1686
Replies to : 347
Self-Loops : 1839
Reciprocated Vertex Pair Ratio : 0.0335672871528837
Reciprocated Edge Ratio : 0.0649542367877178
Connected Components : 874
Single-Vertex Connected Components : 399
Maximum Vertices in a Connected Component : 3691
Maximum Edges in a Connected Component : 14225
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.54484
Graph Density : 0.00024927726520687
Modularity : 0.484087
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 6,385 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, 23 October 2020 at 00:40 UTC.
The requested start date was Friday, 23 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, 18-hour, 27-minute period from Sunday, 18 October 2020 at 16:09 UTC to Thursday, 22 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:
[707] #iot,#iiot [564] smart,city [489] smart,cities [320] #rstats,#reactjs [263] ட,ச [253] #analytics,#machinelearning [249] க,க [246] #ai,#iot [244] #machinelearning,#ai [222] த,த Top Word Pairs in Tweet in G1:
[638] #iot,#iiot [317] #rstats,#reactjs [249] #analytics,#machinelearning [240] #machinelearning,#ai [218] #reactjs,#iot [205] #java,#rstats [168] smart,cities [157] #iiot,#iotpl [156] #ai,#iot [143] #javascript,#rstats Top Word Pairs in Tweet in G2:
[72] coc_gvmc,vizag_smartcity [63] smartcities_hua,mohua_india [59] gvmc_official,coc_gvmc [52] म,र [51] vizag_smartcity,gummallasrijana [49] mohua_india,smartcities_hua [49] स,म [48] र,ट [47] swachhbharatgov,swachhbharat [45] gummallasrijana,andhrapradeshcm Top Word Pairs in Tweet in G3:
[150] smart,cities [64] smart,city [32] expanded,partnership [31] partnership,microsoft [31] microsoft,focus [31] focus,developing [31] developing,#smartcity [31] #smartcity,solutions [30] operational,technology [29] announced,we've Top Word Pairs in Tweet in G4:
[51] smart,city [36] smart,cities [17] #sanpedrosula,#todovaaestarbien [17] #todovaaestarbien,#smartcity [17] #smartcity,#msps [15] #reactivación,#sanpedrosula [12] cities,around [12] around,world [12] #smartcities,#smartcity [10] க,க Top Word Pairs in Tweet in G5:
[173] mod,'s [173] 's,smart [173] smart,city [173] city,mission [173] mission,88000 [173] 88000,cr [173] cr,sanctioned [173] sanctioned,2015 [173] 2015,aam [173] aam,admi Top Word Pairs in Tweet in G6:
[111] ronald_vanloon,house [111] house,built [111] built,hours [111] hours,mashable [111] mashable,#smartcity [111] #smartcity,#sustainability [111] #sustainability,#machinelearning [111] #machinelearning,#ml [111] #ml,cc [111] cc,alvinfoo Top Word Pairs in Tweet in G7:
[16] #robotics,#utilities [14] #utilities,#smartcities [13] training,program [10] mobility,service [9] program,#artificialintelligence [9] #artificialintelligence,#robotics [9] #smartcities,register [8] service,flourish [8] flourish,normal [8] normal,pandemic Top Word Pairs in Tweet in G8:
[18] #warangal,#telangana [14] #smartcity,#hriday [11] #hriday,#amrut [10] attachment,news [10] news,article [9] #amrut,#warangal [9] telanganacmo,ktrtrs [8] sir,eatala_rajender [8] eatala_rajender,attachment [8] article,28 Top Word Pairs in Tweet in G9:
[15] smart,city [12] citizen,engagement [11] #smartcities,#smartcity [8] #urbaninnovation,#urbanplanning [8] junto,clara [8] nuevo,artículo [7] #urbanplanning,#innovation [7] artículo,#smartcities [7] #smartcities,america [7] america,latina Top Word Pairs in Tweet in G10:
[257] ட,ச [239] க,க [216] த,த [167] நகர,ட [137] ம,ச [136] க,ற [130] ம,நகர [129] ச,கள [112] த,ட [97] ட,டம Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: