The graph represents a network of 5,995 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, 13 November 2020 at 01:49 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, 20-hour, 59-minute period from Sunday, 08 November 2020 at 23:00 UTC to Thursday, 12 November 2020 at 20:00 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 : 5995
Unique Edges : 6770
Edges With Duplicates : 12613
Total Edges : 19383
Number of Edge Types : 5
Retweet : 4774
MentionsInRetweet : 7985
Mentions : 4759
Replies to : 295
Tweet : 1570
Self-Loops : 1720
Reciprocated Vertex Pair Ratio : 0.039992021541837
Reciprocated Edge Ratio : 0.0769083237437668
Connected Components : 868
Single-Vertex Connected Components : 454
Maximum Vertices in a Connected Component : 3884
Maximum Edges in a Connected Component : 16192
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.098016
Graph Density : 0.00029019845533607
Modularity : 0.465158
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 5,995 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, 13 November 2020 at 01:49 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, 20-hour, 59-minute period from Sunday, 08 November 2020 at 23:00 UTC to Thursday, 12 November 2020 at 20:00 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:
[534] #iot,#iiot [489] #rstats,#reactjs [374] #ai,#iot [357] #iot,#5g [354] smart,city [353] smart,cities [322] #ai,#ml [311] remote,procedure [311] procedure,london [311] london,based Top Word Pairs in Tweet in G1:
[246] #ai,#iot [131] enricomolinari,#smartcities [112] #ai,#machinelearning [110] #iot,#iiot [102] #iot,#artificialintelligence [92] wef,enricomolinari [84] #rstats,#reactjs [81] intengineering,enricomolinari [78] wef,#ai [68] #smartcities,#ai Top Word Pairs in Tweet in G2:
[160] smart,cities [89] smart,city [30] trillion,2025 [29] smartcityexpo,join [29] opportunities,worth [29] worth,46 [29] 46,trillion [26] #business,opportunities [23] 17,18 [23] learn,more Top Word Pairs in Tweet in G3:
[48] mohua_india,smartcities_hua [28] sclsrinagar,kansalrohit69 [28] kansalrohit69,listenshahid [28] listenshahid,nitishwarkumar [28] nitishwarkumar,mohua_india [28] smartcities_hua,manojsinha_ [28] manojsinha_,pti_news [27] srinagaradmin,sclsrinagar [26] smartcities_hua,mohua_india [22] smart,city Top Word Pairs in Tweet in G4:
[54] smart,city [40] smart,cities [32] #smartcity,#ai [31] #autonomousvehicles,promise [31] promise,whole [31] whole,vehicle [31] vehicle,code [31] code,forbes [31] forbes,explores [31] explores,prisoner's Top Word Pairs in Tweet in G5:
[299] remote,procedure [299] procedure,london [299] london,based [299] based,surgeon [299] surgeon,californian [299] californian,banana [299] banana,#iot [299] #iot,#5g [298] #5g,#medicaltechnology [298] #medicaltechnology,#future Top Word Pairs in Tweet in G6:
[57] #iiot,#iotpl [56] #iot,#iiot [45] #iotpl,#intrernetofthings [34] #iot,#smartcities [34] #tech,#technology [30] use,case [30] case,domains [30] domains,municipalities [30] municipalities,exploit [30] #smartcities,#smartcity Top Word Pairs in Tweet in G7:
[400] #rstats,#reactjs [335] #iot,#iiot [186] #reactjs,#iot [162] #machinelearning,#ai [161] #analytics,#machinelearning [115] #reactjs,#ai [105] #ai,#javascript [105] #javascript,#rstats [100] #ai,#iot [99] #iiot,#linux Top Word Pairs in Tweet in G8:
[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 G9:
[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 G10:
[13] #hriday,#amrut [12] #smartcity,#hriday [10] drtamilisaiguv,telanganacmo [9] #warangal,#telangana [9] pmoindia,texminindia [7] velide_anand,ktrtrs [7] collector_wglu,ktrtrs [7] texminindia,texcomindia [7] texcomindia,smritiirani [7] smritiirani,kishanreddybjp Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
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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 Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G10: