The graph represents a network of 4,005 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 3/9/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 10 March 2023 at 01:18 UTC.
The tweets in the network were tweeted over the 1817-day, 9-hour, 57-minute period from Sunday, 18 March 2018 at 15:01 UTC to Friday, 10 March 2023 at 00:59 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 : 4005
Unique Edges : 3611
Edges With Duplicates : 12206
Total Edges : 15817
Number of Edge Types : 9
Retweet : 2777
MentionsInRetweet : 4642
Mentions : 3107
Tweet : 1195
MentionsInReplyTo : 2610
Replies to : 590
MentionsInQuote : 550
MentionsInQuoteReply : 129
Quote : 217
Self-Loops : 2948
Reciprocated Vertex Pair Ratio : 0.0375221238938053
Reciprocated Edge Ratio : 0.0723302627089731
Connected Components : 611
Single-Vertex Connected Components : 323
Maximum Vertices in a Connected Component : 2419
Maximum Edges in a Connected Component : 12848
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.83812
Graph Density : 0.000365552050945309
Modularity : 0.355621
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 4,005 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 3/9/2023 5:00:36 PM. The network was obtained from Twitter on Friday, 10 March 2023 at 01:18 UTC.
The tweets in the network were tweeted over the 1817-day, 9-hour, 57-minute period from Sunday, 18 March 2018 at 15:01 UTC to Friday, 10 March 2023 at 00:59 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:
[691] #healthtech,#smartcity [691] #csuite,#digitalhealth [691] #digitalhealth,#web3 [689] #web3,#cx [689] #vive2023,#healthtech [689] #datascientist,#csuite [646] #smartcity,#ata2023 [643] #ata2023,#datascientist [382] chidambara09,#vive2023 [330] #cx,#ehealth Top Word Pairs in Tweet in G1:
[686] #csuite,#digitalhealth [686] #healthtech,#smartcity [686] #digitalhealth,#web3 [684] #web3,#cx [684] #vive2023,#healthtech [684] #datascientist,#csuite [641] #smartcity,#ata2023 [638] #ata2023,#datascientist [377] chidambara09,#vive2023 [330] #cx,#ehealth Top Word Pairs in Tweet in G2:
[52] recent,nascio [52] driving,focus [52] year,learn [52] biggest,priority [52] cio,survey [52] modernization,2nd [52] old,according [52] factors,driving [52] 2nd,biggest [52] survey,legacy Top Word Pairs in Tweet in G3:
[38] स,न [38] नप,र [37] smartcities_hua,mohua_india [34] क,नप [33] र,नगर [30] न,क [28] व,र [28] क,स [26] स,ट [25] क,य Top Word Pairs in Tweet in G4:
[61] #evtol,#airtaxi [56] #eh,#evtol [50] ழ,த [50] வ,ழ [50] க,கள [50] த,த [50] த,க [35] #airtaxi,#emobility [33] #emobility,#avgeek [30] ர,த Top Word Pairs in Tweet in G5:
[115] #haarp,#killbox [115] watt,paralegal [115] 01,23 [115] #5g,#rf [115] #agenda21,#5g [115] spectrum,dominanance [115] #wifi,#haarp [115] military,full [115] katherine,watt [115] ongoing,military Top Word Pairs in Tweet in G6:
[7] த,ட [5] #smartcity,த [5] ச,யல [4] ட,டங [4] க,க [4] த,ர [4] டங,கள [4] பட,த [3] கள,ன [3] ச,ர Top Word Pairs in Tweet in G7:
[57] barriers,help [57] #automation,#smartcities [57] safe,traffic [57] flows,gigadgets [57] two,road [57] help,ensure [57] road,barriers [57] smooth,safe [57] gigadgets,#automation [57] traffic,flows Top Word Pairs in Tweet in G8:
[34] #digitalid,#depopulation [34] schulungsvideo,weltwirtschaftsforums [34] mitarbeiter,#wef [34] weltwirtschaftsforums,neue [34] #satire,schulungsvideo [34] #wef,#digitalid [34] neue,mitarbeiter [33] george_orwell3,#satire [33] #depopulation,#smartciti [31] #freiheit,#smartcities Top Word Pairs in Tweet in G9:
[22] smart,city [15] steht,stadt [15] 2022,steht [15] index,2022 [15] city,index [13] #smartcity,#smartregion [12] inno_trends,smart [11] elizab0t,j_kloiber [10] #frauentag,elizab0t [10] j_kloiber,superrrnetwork Top Word Pairs in Tweet in G10:
[15] never,again [15] leading,fourth [15] resist,#smartcities [15] again,resist [15] #smartcities,merely [15] fourth,reich [15] merely,large [15] reich,never [14] conservativeje7,leading [11] #id2020,#digitalid Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
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: