The graph represents a network of 2,600 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 12/29/2022 5:00:32 PM. The network was obtained from Twitter on Friday, 30 December 2022 at 01:16 UTC.
The tweets in the network were tweeted over the 1927-day, 6-hour, 45-minute period from Tuesday, 19 September 2017 at 18:15 UTC to Friday, 30 December 2022 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 : 2600
Unique Edges : 2366
Edges With Duplicates : 11828
Total Edges : 14194
Number of Edge Types : 9
Replies to : 252
MentionsInReplyTo : 1290
Quote : 99
Mentions : 4460
Tweet : 761
Retweet : 2936
MentionsInRetweet : 3992
MentionsInQuote : 349
MentionsInQuoteReply : 55
Self-Loops : 3457
Reciprocated Vertex Pair Ratio : 0.0318756585879874
Reciprocated Edge Ratio : 0.0617819760020424
Connected Components : 355
Single-Vertex Connected Components : 162
Maximum Vertices in a Connected Component : 1362
Maximum Edges in a Connected Component : 12077
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.692653
Graph Density : 0.000579660816290289
Modularity : 0.261314
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 2,600 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 12/29/2022 5:00:32 PM. The network was obtained from Twitter on Friday, 30 December 2022 at 01:16 UTC.
The tweets in the network were tweeted over the 1927-day, 6-hour, 45-minute period from Tuesday, 19 September 2017 at 18:15 UTC to Friday, 30 December 2022 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:
[1893] #smartcity,#datascientist [1886] #web3,#cx [1885] #healthtech,#smartcity [1884] #digitalhealth,#web3 [1883] #csuite,#digitalhealth [1883] #datascientist,#csuite [1882] #ehealth,#finserv [1882] #cx,#ehealth [1077] chidambara09,#healthtech [973] #finserv,#clou Top Word Pairs in Tweet in G1:
[1893] #smartcity,#datascientist [1886] #web3,#cx [1885] #healthtech,#smartcity [1884] #digitalhealth,#web3 [1883] #csuite,#digitalhealth [1883] #datascientist,#csuite [1882] #ehealth,#finserv [1882] #cx,#ehealth [1077] chidambara09,#healthtech [973] #finserv,#clou Top Word Pairs in Tweet in G2:
[291] डब,क [291] फ,डब [211] सर,व [188] #easeofliving2022,सर [183] व,म [180] #mycitymypride,#yemerasheharhai [165] अपन,फ [155] क,द [134] म,अपन [132] व,स Top Word Pairs in Tweet in G3:
[18] smart,city [11] smart,cities [9] smartcity,innovation [8] म,र [7] स,ट [6] chandigarh,changed [6] स,म [6] ग,द [6] changed,2022 [5] never,ending Top Word Pairs in Tweet in G4:
[71] sieht,die [65] paris,plant [65] minuten,stadt [65] 15,minuten [54] jede,entscheidung [54] überwacht,jede [54] stadt,zukunft [54] bewegung,überwacht [54] zukunft,jede [54] entscheidung,die Top Word Pairs in Tweet in G5:
[61] #cloud,#programming [61] #data,#smartcities [61] #programming,#ai [59] cheat,sheet [57] #iiot,#data [48] #ai,#datascience [43] #iotpl,#iotcl [43] #smartcities,#cloud [43] #iot,#iiot [40] #iiot,#iotpl Top Word Pairs in Tweet in G6:
[26] last,week [26] unfortunately,breakthru [26] moment,painful [26] teenage,missing [26] police,unfortunately [26] week,police [26] breakthru,each [26] each,moment [26] missing,last [25] pjayeshmum,teenage Top Word Pairs in Tweet in G7:
[2] mumbaipolice,cpmumbaipolice [2] startup,india [2] darshanajardosh,bhupendrapbjp [2] bridge,#priyadarshiniparkhighway [2] india,mentor [2] kurla,terminus [2] terminus,#cheddha [2] boghawalahemali,pareshpatel4bjp [2] mukeshpatelmla,darshanajardosh [2] #priyadarshiniparkhighway,#amarmahalbridge Top Word Pairs in Tweet in G8:
[8] smart,city [4] beach,collaboratory' [4] lab,engage [4] involved,launching [4] co,lab [4] collaboratory',lb [4] lb,co [4] program,called [4] #smartcity,program [4] launching,#smartcity Top Word Pairs in Tweet in G9:
[17] boeren,weg [17] ooit,gestemd [17] duidelijk,dat [17] foodvalley,smartcity [17] dat,boeren [17] woorden,foodvalley [17] heeft,iemand [17] smartcity,heeft [17] iemand,ooit [17] gestemd,duidelijk Top Word Pairs in Tweet in G10:
[2] adsksimulation,adskinventor [2] motorious_inc,autodesk [2] gmail,viamichelin [2] vw,gmail [2] journal,#madrid [2] autodesk,journal [2] #aec,entrevista [2] sector,#aec [2] autodesk,adsksimulation [2] david,garcía Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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: