The graph represents a network of 5,940 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 Sunday, 15 November 2020 at 01:47 UTC.
The requested start date was Friday, 13 November 2020 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 3-day, 19-hour, 56-minute period from Monday, 09 November 2020 at 04:55 UTC to Friday, 13 November 2020 at 00:52 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 : 5940
Unique Edges : 6693
Edges With Duplicates : 12458
Total Edges : 19151
Number of Edge Types : 5
Retweet : 4760
MentionsInRetweet : 7962
Mentions : 4571
Replies to : 290
Tweet : 1568
Self-Loops : 1718
Reciprocated Vertex Pair Ratio : 0.0397457883587209
Reciprocated Edge Ratio : 0.0764528960900359
Connected Components : 874
Single-Vertex Connected Components : 453
Maximum Vertices in a Connected Component : 3800
Maximum Edges in a Connected Component : 15903
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.095999
Graph Density : 0.000292167904560563
Modularity : 0.45291
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 5,940 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 Sunday, 15 November 2020 at 01:47 UTC.
The requested start date was Friday, 13 November 2020 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 3-day, 19-hour, 56-minute period from Monday, 09 November 2020 at 04:55 UTC to Friday, 13 November 2020 at 00:52 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:
[528] #iot,#iiot [493] #rstats,#reactjs [362] #ai,#iot [358] smart,cities [352] smart,city [324] #iot,#5g [289] #ai,#ml [278] remote,procedure [278] procedure,london [278] london,based Top Word Pairs in Tweet in G1:
[161] #ai,#iot [141] smart,cities [130] enricomolinari,#smartcities [109] #ai,#machinelearning [93] wef,enricomolinari [87] #iot,#iiot [83] intengineering,enricomolinari [78] smart,city [73] eco,friendly [63] #rstats,#reactjs Top Word Pairs in Tweet in G2:
[55] smart,city [40] smart,cities [31] #smartcity,#ai [30] #autonomousvehicles,promise [30] promise,whole [30] whole,vehicle [30] vehicle,code [30] code,forbes [30] forbes,explores [30] explores,prisoner's Top Word Pairs in Tweet in G3:
[50] mohua_india,smartcities_hua [31] sclsrinagar,kansalrohit69 [31] kansalrohit69,listenshahid [31] listenshahid,nitishwarkumar [31] nitishwarkumar,mohua_india [31] smartcities_hua,manojsinha_ [31] manojsinha_,pti_news [30] srinagaradmin,sclsrinagar [24] smartcities_hua,mohua_india [23] smart,city Top Word Pairs in Tweet in G4:
[419] #rstats,#reactjs [359] #iot,#iiot [198] #reactjs,#iot [182] #machinelearning,#ai [180] #analytics,#machinelearning [123] #reactjs,#ai [116] #ai,#javascript [116] #javascript,#rstats [111] #ai,#iot [106] #analytics,#rstats Top Word Pairs in Tweet in G5:
[266] remote,procedure [266] procedure,london [266] london,based [266] based,surgeon [266] surgeon,californian [266] californian,banana [266] #iot,#5g [265] banana,#iot [265] #5g,#medicaltechnology [265] #medicaltechnology,#future Top Word Pairs in Tweet in G6:
[70] #ai,#iot [54] #iot,#artificialintelligence [52] #iot,#iiot [47] #iiot,#iotpl [42] wef,#ai [39] #iotpl,#intrernetofthings [32] #tech,#technology [28] boston,saved [28] saved,million [28] million,running Top Word Pairs in Tweet in G7:
[41] mei,yee [41] yee,man [41] man,oram [40] access,inclusive [34] debraruh,neilmilliken [34] talk,mei [34] oram,access [24] #ai,#blockchain [24] #axschat,twitter [24] twitter,chat Top Word Pairs in Tweet in G8:
[20] #solarenergy,#smarthomes [20] #smarthomes,#smartcity [20] #renewableenergy,#sustainability [20] #sustainability,#battery [20] #battery,#batterysystem [19] #smartcity,#renewableenergy [19] #batterysystem,#follow [16] jesszijincomhk1,#solarenergy [16] #follow,#electricvehicl [7] virtual,meetings Top Word Pairs in Tweet in G9:
[11] #smartcities,communities [10] working,group [9] creating,working [9] group,share [9] share,knowledge [9] knowledge,topics [9] topics,#smartcities [9] communities,cultural [9] cultural,#heritage [9] #heritage,areas Top Word Pairs in Tweet in G10:
[25] #smartcities,#smartcity [20] lt,gt [8] smart,city [8] #smartcities,events [7] #iot,#iiot [7] #urbaninnovation,#urbanplanning [6] #urbanplanning,#innovation [6] gt,lt [5] #smartcities,#iot [5] iiconsortium,webinar Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G7:
Top Replied-To in G8:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G4:
Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: