The graph represents a network of 5,176 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, 21 January 2022 at 01:39 UTC.
The requested start date was Friday, 21 January 2022 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, 1-hour, 9-minute period from Sunday, 16 January 2022 at 01:48 UTC to Thursday, 20 January 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 : 5176
Unique Edges : 7113
Edges With Duplicates : 14963
Total Edges : 22076
Number of Edge Types : 5
Retweet : 5126
MentionsInRetweet : 8898
Replies to : 585
Mentions : 6289
Tweet : 1178
Self-Loops : 1292
Reciprocated Vertex Pair Ratio : 0.0201342281879195
Reciprocated Edge Ratio : 0.0394736842105263
Connected Components : 469
Single-Vertex Connected Components : 227
Maximum Vertices in a Connected Component : 3897
Maximum Edges in a Connected Component : 20084
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.362455
Graph Density : 0.000425598638084358
Modularity : 0.437727
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 5,176 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, 21 January 2022 at 01:39 UTC.
The requested start date was Friday, 21 January 2022 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, 1-hour, 9-minute period from Sunday, 16 January 2022 at 01:48 UTC to Thursday, 20 January 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:
[711] #iot,#iiot [369] #iiot,#iotpl [322] smart,cities [286] happy,facts [285] #analytics,#machinelearning [280] #machinelearning,#ai [277] #iotpl,#iotcommunity [272] smart,city [234] #ai,#iot [231] મ,ર Top Word Pairs in Tweet in G1:
[664] #iot,#iiot [338] #iiot,#iotpl [280] #analytics,#machinelearning [275] #machinelearning,#ai [253] #iotpl,#iotcommunity [223] #ai,#iot [204] internet,things [159] #ai,#python [159] #python,#rstats [159] #rstats,#reactjs Top Word Pairs in Tweet in G2:
[69] smartcities_hua,mohua_india [68] smart,cities [62] mygovindia,pmoindia [58] amritmahotsav,mohua_india [57] mohua_india,hardeepspuri [54] प,र [52] mohua_india,smartcities_hua [52] swachhbharatgov,amritmahotsav [52] hardeepspuri,secretary_mohua [52] secretary_mohua,minofculturegoi Top Word Pairs in Tweet in G3:
[265] happy,facts [213] facts,સ [211] મ,ર [197] સ,રત [174] #smartcity,#surat [168] #surat,#gujarat [155] સ,ધ [154] ર,ચ [154] ચ,2024 [154] 2024,સ Top Word Pairs in Tweet in G4:
[124] smart,cities [36] smart,city [24] #smartcities,#smartcity [18] open,data [15] problems,spaces [15] spaces,people [15] people,made [15] made,#edinburgh [15] #edinburgh,less [15] less,#accessible Top Word Pairs in Tweet in G5:
[25] smart,city [22] #smartcity,#automation [15] smart,cities [14] modernizing,business [14] business,succeed [14] succeed,4th [14] 4th,industrial [14] industrial,revolution [14] revolution,come [14] come,guidebook Top Word Pairs in Tweet in G6:
[32] smartcities_hua,narendramodi [30] congratulations,indore [30] indore,one [30] one,more [30] more,feather [30] feather,keen [30] keen,implement [30] implement,neighbourhood [30] neighbourhood,level [30] level,pilot Top Word Pairs in Tweet in G7:
[153] smartcity,challenge [153] challenge,outcome [134] join,valedictory [134] valedictory,session [134] session,product [134] product,poc [134] poc,showcase [134] showcase,result [134] result,declaration [134] declaration,smartcity Top Word Pairs in Tweet in G8:
[115] #akıllışehirler'le,ilgili [115] ilgili,tasarımda [115] tasarımda,önemli [115] önemli,olan [115] olan,dünyanın [115] dünyanın,gittiği [115] gittiği,yeri [115] yeri,bilmek [115] bilmek,yani [115] yani,teknolojinin Top Word Pairs in Tweet in G9:
[85] future,super [85] super,high [85] high,speed [85] speed,transportation [85] transportation,land [85] #hyperloop,#publictransport [85] #publictransport,#smartcity [84] virginhyperloop,explained [84] explained,future [84] land,#hyperloop Top Word Pairs in Tweet in G10:
[46] swachhbharat,swachsurvekshan [41] vizag_smartcity,coc_gvmc [36] coc_gvmc,cdma_municipal [30] gvmc_official,swachhbharatgov [30] swachhbharatgov,swachsurvekshan [30] swachsurvekshan,swachhbharat [30] swachhbharat,mohua_india [30] mohua_india,swachhaandhra [30] swachhaandhra,cdma_municipal [29] cdma_municipal,vizag_smartcity 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 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: