The graph represents a network of 3,383 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 2/9/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 10 February 2023 at 01:17 UTC.
The tweets in the network were tweeted over the 1416-day, 14-hour, 3-minute period from Tuesday, 26 March 2019 at 10:39 UTC to Friday, 10 February 2023 at 00:43 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 : 3383
Unique Edges : 3641
Edges With Duplicates : 22540
Total Edges : 26181
Number of Edge Types : 9
Retweet : 3064
MentionsInRetweet : 10243
Mentions : 2756
Tweet : 861
Replies to : 587
MentionsInReplyTo : 7563
MentionsInQuote : 907
Quote : 187
MentionsInQuoteReply : 13
Self-Loops : 3001
Reciprocated Vertex Pair Ratio : 0.0332924478710356
Reciprocated Edge Ratio : 0.0644395455316262
Connected Components : 561
Single-Vertex Connected Components : 286
Maximum Vertices in a Connected Component : 1863
Maximum Edges in a Connected Component : 23615
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 4.914029
Graph Density : 0.000515413187969975
Modularity : 0.213017
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,383 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 2/9/2023 5:00:35 PM. The network was obtained from Twitter on Friday, 10 February 2023 at 01:17 UTC.
The tweets in the network were tweeted over the 1416-day, 14-hour, 3-minute period from Tuesday, 26 March 2019 at 10:39 UTC to Friday, 10 February 2023 at 00:43 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:
[711] #smartcity,#5g [700] #healthtech,#smartcity [698] #csuite,#digitalhealth [698] #datascientist,#csuite [696] #5g,#datascientist [694] #cx,#ehealth [693] #web3,#cx [693] #vive2023,#healthtech [693] #digitalhealth,#web3 [593] cmohry,mlkhattar Top Word Pairs in Tweet in G1:
[708] #smartcity,#5g [697] #healthtech,#smartcity [695] #csuite,#digitalhealth [695] #datascientist,#csuite [693] #5g,#datascientist [691] #cx,#ehealth [690] #web3,#cx [690] #digitalhealth,#web3 [690] #vive2023,#healthtech [405] chidambara09,#vive2023 Top Word Pairs in Tweet in G2:
[130] cmoguj,bhupendrapbjp [127] bhupendrapbjp,amdavadamc [122] amdavadamc,smartcities_hua [121] amrut_mohua,ut_mohua [121] smartcities_hua,amrut_mohua [116] mohua_india,secretary_mohua [99] g20org,mohua_india [93] c40cities,uclg_org [92] ut_mohua,pmayurban [90] niua_india,hiteshvaidya Top Word Pairs in Tweet in G3:
[45] success,growth [45] workforces,learn [45] communities,improved [45] #smartcity,#govtech [45] stronger,workforces [45] crucial,success [45] backbone,#smartcity [45] connectivity,comes [45] technology,backbone [45] govts,need Top Word Pairs in Tweet in G4:
[77] smart,cities [30] process,manufacturing [30] machine,process [30] simulating,machine [30] manufacturing,contrary [30] digital,twin [30] helpful,simulating [30] twin,helpful [29] lindagrass0,digital [29] contrary,exploi Top Word Pairs in Tweet in G5:
[592] dckarnal,mckarnal [592] drkamalguptabjp,dckarnal [591] mlkhattar,drkamalguptabjp [591] shaktisinghadv,karnalsmartcity [591] cmohry,mlkhattar [591] karnalsmartcity,cmohry [589] nathura50862528,shaktisinghadv [548] mckarnal,smartcities_hua [435] aambsinghc,nathura50862528 [193] smartcities_hua,karnaldc Top Word Pairs in Tweet in G6:
[13] lake,park [13] walking,track [13] panoramic,views [13] #hubballi,next [13] coverage,tolankere [13] tolankere,lake [13] track,path [13] next,complete [13] park,kms [13] kms,walking Top Word Pairs in Tweet in G7:
[29] क,ल [28] प,र [24] क,म [24] smartcities_hua,smartcitykanpur [21] ब,र [20] र,क [19] ल,ग [17] हम,र [17] न,म [17] न,व Top Word Pairs in Tweet in G8:
[16] #tiruppurcorporation,#smartcity [16] #tiruppur,#twitterposts [16] #thiranmigutiruppur,#tiruppur [16] #smartcity,#thiranmigutiruppur [11] #job,#jobfair [11] #twitterposts,#today [11] #today,#job [10] tprdtcollector,pro_tiruppur [10] pro_tiruppur,mawstamilnadu [10] pibchennai,thirupurcitypol Top Word Pairs in Tweet in G9:
[23] roots,interessanter [23] #ai,mensch [23] thema,#ai [23] artikel,thema [23] interessanter,artikel [23] back,roots [23] #iota,back [22] maschine,kommunikation [22] iota,iota [22] jvalentinitsch,#iota Top Word Pairs in Tweet in G10:
[24] hours,#architecture [24] building,28 [24] mashable,developers [24] constructed,10 [24] developers,china [24] china,constructed [24] 28,hours [24] 10,floor [24] floor,building [16] #architecture,#ai 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 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: