The graph represents a network of 3,540 Twitter users whose recent tweets contained "smartcity OR smartcities", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/2/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 03 March 2023 at 01:17 UTC.
The tweets in the network were tweeted over the 1736-day, 21-hour, 47-minute period from Thursday, 31 May 2018 at 03:12 UTC to Friday, 03 March 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 3540
Unique Edges : 3698
Edges With Duplicates : 13583
Total Edges : 17281
Number of Edge Types : 9
MentionsInReplyTo : 3100
Replies to : 409
Retweet : 2969
MentionsInRetweet : 5238
MentionsInQuote : 581
Quote : 133
Mentions : 3735
MentionsInQuoteReply : 40
Tweet : 1076
Self-Loops : 3255
Reciprocated Vertex Pair Ratio : 0.0283968368080518
Reciprocated Edge Ratio : 0.0552254456483747
Connected Components : 582
Single-Vertex Connected Components : 302
Maximum Vertices in a Connected Component : 2039
Maximum Edges in a Connected Component : 14527
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.112042
Graph Density : 0.000456734721896287
Modularity : 0.317319
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,540 Twitter users whose recent tweets contained "smartcity OR smartcities", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/2/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 03 March 2023 at 01:17 UTC.
The tweets in the network were tweeted over the 1736-day, 21-hour, 47-minute period from Thursday, 31 May 2018 at 03:12 UTC to Friday, 03 March 2023 at 01:00 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[1552] #healthtech,#smartcity [1552] #vive2023,#healthtech [1550] #digitalhealth,#web3 [1541] #csuite,#digitalhealth [1532] #web3,#cx [1528] #datascientist,#csuite [1524] #smartcity,#ata2023 [1500] #ata2023,#datascientist [896] chidambara09,#vive2023 [872] #cx,#ehea Top Word Pairs in Tweet in G1:
[1494] #healthtech,#smartcity [1494] #vive2023,#healthtech [1492] #digitalhealth,#web3 [1483] #csuite,#digitalhealth [1476] #web3,#cx [1470] #datascientist,#csuite [1466] #smartcity,#ata2023 [1442] #ata2023,#datascientist [840] chidambara09,#vive2023 [824] #cx,#ehea Top Word Pairs in Tweet in G2:
[53] क,र [41] व,र [35] क,य [35] र,क [33] narendramodi,pmoindia [32] द,व [30] स,ट [30] mohua_india,smartcities_hua [28] स,म [27] mohua_india,secretary_mohua Top Word Pairs in Tweet in G3:
[57] #digital,#digitalhealth [57] #smartcity,#digital [57] #digitalhealth,#health [50] learn,more [48] owners,operators [48] legislation,around [48] more,#cybersecurity [48] high,last [48] around,24 [48] operators,learn Top Word Pairs in Tweet in G4:
[56] #digitalhealth,#health [56] #smartcity,#digital [56] #digital,#digitalhealth [45] #smartcity,#ata2023 [45] #healthtech,#smartcity [45] #digitalhealth,#web3 [45] #csuite,#digitalhealth [45] #datascientist,#csuite [45] #vive2023,#healthtech [45] #ata2023,#datascientist Top Word Pairs in Tweet in G5:
[11] य,क [11] र,य [10] श,र [9] र,ज [7] स,म [7] र,म [6] प,स [6] प,र [6] व,स [6] स,तक Top Word Pairs in Tweet in G6:
[5] ubuntu,ubuntucloud [5] #v2x,#roadtozero [5] #v2v,#v2c [5] linuxfoundation,ubuntu [5] ubuntuone,linuxfoundation [5] #socialnetwork_connectedcars,ubuntuone [5] #v2c,#v2x [5] ubuntucloud,#v2v [3] popsci,un_rsf [3] nyc_dot,usdot Top Word Pairs in Tweet in G7:
[63] something,btw [63] #smartcity,#bangkok [63] morning,bangkok [63] elonmusk,mention [63] mention,rndr [63] green,morning [63] btw,#smartcity [63] #automotive,#thailand [63] bangkok,elonmusk [63] #bangkok,#automotive Top Word Pairs in Tweet in G8:
[5] य,च [3] m_lekhi,pibculture [3] g20org,w20org [3] #orange,#majhivasundhara [3] g20org,m_lekhi [3] day,#nsscdcl [3] #nsscdcl,#nagpursmartcity [3] ours,g20org [3] #unesco,#nasa [3] #isro,#unicef Top Word Pairs in Tweet in G9:
[110] diprjk,infjammu [105] infjammu,officeoflgjandk [100] property,tax [90] officeoflgjandk,divcomjammu [54] diprkathua,#knowaboutpropertytax [51] divcomjammu,districtadmkat1 [51] districtadmkat1,jammuulb [51] #knowaboutpropertytax,#mythbuster [33] cbcjammukashmir,pibsrinagar [33] jammuulb,ddiprjammu Top Word Pairs in Tweet in G10:
[16] #smartcities,#iot [10] secure,productive [10] jasmy,develops [10] solution,supports [10] develops,solution [10] productive,pc [10] pc,utilization [10] meets,needs [10] utilization,meets [10] needs,hybrid Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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 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: