The graph represents a network of 4,085 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 3/16/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 17 March 2023 at 00:17 UTC.
The tweets in the network were tweeted over the 1815-day, 20-hour, 20-minute period from Tuesday, 27 March 2018 at 03:39 UTC to Friday, 17 March 2023 at 00:00 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 : 4085
Unique Edges : 4041
Edges With Duplicates : 13585
Total Edges : 17626
Number of Edge Types : 9
Retweet : 2867
MentionsInRetweet : 5061
Quote : 131
Tweet : 1046
Mentions : 3072
MentionsInReplyTo : 3960
Replies to : 684
MentionsInQuoteReply : 104
MentionsInQuote : 701
Self-Loops : 2608
Reciprocated Vertex Pair Ratio : 0.028589282924543
Reciprocated Edge Ratio : 0.0555893074119077
Connected Components : 565
Single-Vertex Connected Components : 280
Maximum Vertices in a Connected Component : 2255
Maximum Edges in a Connected Component : 14050
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.558831
Graph Density : 0.000394649928011154
Modularity : 0.358799
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,085 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 3/16/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 17 March 2023 at 00:17 UTC.
The tweets in the network were tweeted over the 1815-day, 20-hour, 20-minute period from Tuesday, 27 March 2018 at 03:39 UTC to Friday, 17 March 2023 at 00:00 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:
[866] #healthtech,#smartcity [862] #web3,#cx [862] #csuite,#digitalhealth [862] #vive2023,#healthtech [862] #datascientist,#csuite [860] #digitalhealth,#web3 [801] #smartcity,#dataviz [801] #dataviz,#datascientist [543] videovigilancia,#smartcity [543] sistema,videovigilancia Top Word Pairs in Tweet in G1:
[511] videovigilancia,#smartcity [511] sistema,videovigilancia [506] momento,accidente [506] registró,momento [501] accidente,blvd [429] blvd,próceres [427] nuestro,sistema [424] alcaldiaantiguo,nuestro [422] #smartcity,registró [76] cuscatlán,registró Top Word Pairs in Tweet in G2:
[855] #healthtech,#smartcity [851] #csuite,#digitalhealth [851] #web3,#cx [851] #vive2023,#healthtech [851] #datascientist,#csuite [849] #digitalhealth,#web3 [799] #dataviz,#datascientist [799] #smartcity,#dataviz [507] chidambara09,#vive2023 [476] #cx,#ehe Top Word Pairs in Tweet in G3:
[136] smartcities_hua,mohua_india [103] mohua_india,hardeepspuri [99] secretary_mohua,jsecretary_scm [99] hardeepspuri,secretary_mohua [82] gvmc_visakha,commissionergv2 [59] andhrapradeshcm,cdma_municipal [58] jsecretary_scm,niua_india [57] swachhbharatgov,swachhbharat [57] cdma_municipal,vizag_smartcity [56] swachhbharat,swachsurvekshan Top Word Pairs in Tweet in G4:
[228] katherine,watt [228] law,researcher [228] paralegal,law [228] researcher,ongoing [228] watt,paralegal [227] deployment,bio [227] bio,weapons [227] military,deployment [227] ongoing,military [226] weapons,military Top Word Pairs in Tweet in G5:
[43] around,world [42] whole,learn [42] priority,governments [42] face,avoid [42] challenges,govts [42] top,priority [42] aim,improve [42] improve,citizen [42] experience,whole [42] avoid,#govtech Top Word Pairs in Tweet in G6:
[16] #ictbusiness,#tehnologija [16] #reportaze,#analize [16] #tehnologija,#telekomunikacije [16] #telekomunikacije,#intervjui [16] gemaigual,j_asanchez [16] #intervjui,#reportaze [16] #analize,#smartcity [15] #smarthome,#smartenergy [15] #administraciónlocal,#digitalización [15] j_asanchez,viceconsejero Top Word Pairs in Tweet in G7:
[21] reducing,traffic [21] greatly,reducing [21] ai,brain [21] brain,greatly [21] congestion,car [21] chinese,city [21] smart,city [21] traffic,chinese [21] controlled,ai [21] traffic,congestion Top Word Pairs in Tweet in G8:
[42] smart,city [41] state,25 [41] central,50 [41] 50,state [41] 2015,share [41] sheme,june [41] minister,narendramodi [41] prime,minister [41] announced,smart [41] narendramodi,announced Top Word Pairs in Tweet in G9:
[18] क,र [15] aksharmabharat,dmkanpur [15] dmkanpur,nagarvikasup [14] chiefsecyup,smartcities_hua [14] shiviasup,chiefsecyup [14] nagarvikasup,shiviasup [10] य,क [10] र,य [10] क,ल [9] र,क Top Word Pairs in Tweet in G10:
[2] dinamalarnellai,dinamalarcns [2] subcoll_pudcy,swamy39 [2] sadhviniranjan,utofpuducherry [2] ctaxpuducherry,aaipnyairport [2] girirajsinghbjp,sadhviniranjan [2] gurmeetsinghvc,pibhrd [2] mopasspk,mophrd [2] dinamalarweb,qualitycouncil [2] thpondy,m_lekhi [2] thchennai,naac_india Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
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: