The graph represents a network of 3,676 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 2/2/2023 5:00:34 PM. The network was obtained from Twitter on Friday, 03 February 2023 at 01:17 UTC.
The tweets in the network were tweeted over the 2367-day, 14-hour, 13-minute period from Wednesday, 10 August 2016 at 10:47 UTC to Friday, 03 February 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 : 3676
Unique Edges : 3825
Edges With Duplicates : 13209
Total Edges : 17034
Number of Edge Types : 9
Retweet : 2897
MentionsInRetweet : 5317
MentionsInReplyTo : 2954
Replies to : 488
Tweet : 1132
Mentions : 3271
Quote : 141
MentionsInQuoteReply : 475
MentionsInQuote : 359
Self-Loops : 2685
Reciprocated Vertex Pair Ratio : 0.0347970173985087
Reciprocated Edge Ratio : 0.0672538030424339
Connected Components : 554
Single-Vertex Connected Components : 277
Maximum Vertices in a Connected Component : 1839
Maximum Edges in a Connected Component : 13321
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.653206
Graph Density : 0.00046227413707594
Modularity : 0.346958
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 3,676 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 2/2/2023 5:00:34 PM. The network was obtained from Twitter on Friday, 03 February 2023 at 01:17 UTC.
The tweets in the network were tweeted over the 2367-day, 14-hour, 13-minute period from Wednesday, 10 August 2016 at 10:47 UTC to Friday, 03 February 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:
[817] #healthtech,#smartcity [817] #datascientist,#csuite [816] #csuite,#digitalhealth [815] #web3,#cx [815] #digitalhealth,#web3 [814] #cx,#ehealth [804] #smartcity,#5g [800] #5g,#datascientist [791] #vive2023,#healthtech [500] chidambara09,#vive2023 Top Word Pairs in Tweet in G1:
[800] #healthtech,#smartcity [800] #datascientist,#csuite [799] #csuite,#digitalhealth [798] #digitalhealth,#web3 [798] #web3,#cx [797] #cx,#ehealth [789] #smartcity,#5g [785] #5g,#datascientist [776] #vive2023,#healthtech [485] chidambara09,#vive2023 Top Word Pairs in Tweet in G2:
[147] citizen,perception [133] perception,survey [78] mohua_india,smartcities_hua [74] participating,citizen [70] ulb,code [68] visakhapatnam,participating [67] commissionerknp,chiefsecyup [67] smartcities_hua,commissionerknp [67] aksharmabharat,nagarvikasup [67] nagarvikasup,smartcities_hua Top Word Pairs in Tweet in G3:
[78] #automation,#smartcity [45] learn,more [41] #ai,#ml [40] spooky,#techtrends [40] #techtrends,stay [40] stay,#ai [40] 13th,come [40] #ml,#automation [40] friday,13th [40] come,gone Top Word Pairs in Tweet in G4:
[217] rndr,something [217] #automotive,#thailand [217] #bangkok,#automotive [217] morning,bangkok [217] something,btw [217] green,morning [217] #smartcity,#bangkok [217] elonmusk,mention [217] mention,rndr [217] bangkok,elonmusk Top Word Pairs in Tweet in G5:
[41] smart,cities [16] smart,city [12] helps,cities [11] cities,daily [10] trends,keep [10] partner,yodiwo [10] china,#technews [10] next,level [10] #technews,#engineering [10] used,china Top Word Pairs in Tweet in G6:
[22] right,time [22] aiims,#chhattisgarh [22] give,aiims [22] #smartcity,#bilaspur [22] #chhattisgarh,#smartcity [22] time,give [21] airportbilaspur,right [21] smart,city [20] #bilaspur,nitinnabin [18] nitinnabin,ommathur_bjp Top Word Pairs in Tweet in G7:
[5] #smartcar,#smartcity [4] #v2c,#v2x [4] #v2v,#v2c [4] linuxfoundation,ubuntu [4] #v2x,#roadtozero [4] ubuntucloud,#v2v [4] ubuntuone,linuxfoundation [4] #socialnetwork_connectedcars,ubuntuone [4] ubuntu,ubuntucloud [3] massdot,nycedc Top Word Pairs in Tweet in G8:
[178] diprjk,infjammu [177] infjammu,officeoflgjandk [136] officeoflgjandk,divcomjammu [104] #unionbudget2023,#amritkaalbudget [92] diprkathua,#unionbudget2023 [87] divcomjammu,districtadmkat1 [76] districtadmkat1,cbckathua [75] cbckathua,cbcjammukashmir [72] cbcjammukashmir,pibsrinagar [63] diprkathua,diprjk Top Word Pairs in Tweet in G9:
[6] worlds,hvm_catapult [6] digital,manufacturing [6] unexpectedly,worlds [6] today,talking [6] westerngateway_,collided [6] hvm_catapult,westerngateway_ [6] collided,today [6] talking,digital [5] manufacturing,iotsw [5] westminstrwings,unexpectedly Top Word Pairs in Tweet in G10:
[3] yukarikingdom18,mhall55nine [3] angelicagallegs,yukarikingdom18 [3] mhall55nine,eoff_sylvia [3] semicvet50,brindusab1 [3] bperrionni,semicvet50 [3] brindusab1,ritacobix [3] eoff_sylvia,montynishimura [3] montynishimura,bperrionni [2] bperrionni,ritacobix [2] luisam56_,duckylemon Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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: