The graph represents a network of 7 953 Twitter users whose recent tweets contained "#smartcity", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18 000 tweets. The network was obtained from Twitter on Saturday, 25 January 2020 at 10:30 UTC.
The tweets in the network were tweeted over the 8-day, 4-hour, 41-minute period from Friday, 17 January 2020 at 04:49 UTC to Saturday, 25 January 2020 at 09:31 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
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 : 7986
Unique Edges : 13551
Edges With Duplicates : 39374
Total Edges : 52925
Number of Edge Types : 5
Mentions : 35761
Replies to : 1261
MentionsInRetweet : 10101
Retweet : 3563
Tweet : 2239
Self-Loops : 2309
Reciprocated Vertex Pair Ratio : 0,0143036561540608
Reciprocated Edge Ratio : 0,0282038935131045
Connected Components : 1017
Single-Vertex Connected Components : 493
Maximum Vertices in a Connected Component : 5111
Maximum Edges in a Connected Component : 47478
Maximum Geodesic Distance (Diameter) : 23
Average Geodesic Distance : 5,780111
Graph Density : 0,000227966254658865
Modularity : 0,25867
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 7 953 Twitter users whose recent tweets contained "#smartcity", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18 000 tweets. The network was obtained from Twitter on Saturday, 25 January 2020 at 10:30 UTC.
The tweets in the network were tweeted over the 8-day, 4-hour, 41-minute period from Friday, 17 January 2020 at 04:49 UTC to Saturday, 25 January 2020 at 09:31 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch
Graph Term : #smartcity
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:
[1180] smart,schools [1179] 25,smart [1178] ready,offer [1178] offer,students [1177] students,parents [1177] parents,best [1177] make,great [1175] belated,year [1175] year,gift [1175] gift,srinagar Top Word Pairs in Tweet in G1:
[1166] 25,smart [1166] smart,schools [1166] ready,offer [1166] offer,students [1165] belated,year [1165] year,gift [1165] gift,srinagar [1165] srinagar,months [1165] months,hard [1165] hard,work Top Word Pairs in Tweet in G2:
[1040] gt,gt [446] #iot,#5g [413] #ai,#iot [317] #startups,#smartcity [309] smart,city [299] #driverlesscars,#startups [287] #smartcity,#cybersecurity [284] #5g,#autonomousvehicles [282] #driverless,#driverlesscars [274] #smartcity,#startup Top Word Pairs in Tweet in G3:
[66] smart,city [40] #smartcity,#iot [38] more,#smartcity [29] steve,kelman [29] kelman,fcw [29] fcw,takes [29] takes,look [29] look,civil [29] civil,servants [29] servants,quietly Top Word Pairs in Tweet in G4:
[121] smart,cities [100] smart,city [52] #smartcities,#smartcity [42] #smartcity,#energy [38] technology,infrastructure [38] infrastructure,sustainability [38] #ieema,#raychemrpgandyou [38] #raychemrpgandyou,#electricity [38] #electricity,#smartcity [38] #energy,#power Top Word Pairs in Tweet in G5:
[153] smart,cities [148] enabling,smarter [148] smarter,cities [148] cities,isn [148] isn,access [148] access,#data [148] #data,use [148] use,amp [148] amp,share [148] share,way Top Word Pairs in Tweet in G6:
[35] smart,city [31] maintenance,prédictive [31] prédictive,aux [31] aux,assistants [31] assistants,vocaux [31] vocaux,passant [31] passant,par [31] par,l'edge [31] l'edge,computing [31] computing,#cybersécurité Top Word Pairs in Tweet in G7:
[30] શહ,રન [30] ય,ત [30] ત,વ [30] કરવ,મ [30] મ,આવ [30] આવ,લ [16] ક,ર [16] થ,ય [16] પ,ર [16] ર,મ Top Word Pairs in Tweet in G8:
[321] #dkijakarta,#smartcity [45] dprddkijakarta,#dkijakarta [43] walikotajaktim,dkijakarta [37] dkijakarta,dprddkijakarta [35] aniesbaswedan,dkijakarta [33] aniesbaswedan,dprddkijakarta [33] hmmm,#dkijakarta [29] dkijakarta,jsclounge [29] #smartcity,#infrastructure [28] fahiraidris,bangjapar_fi Top Word Pairs in Tweet in G9:
[137] #smartcities,#smartcity [46] smart,city [21] smart,cities [15] #iot,#ai [11] #smartcity,#iot [10] profitiert,#siemens [10] #siemens,planungen [10] planungen,#siemensstadt [10] #siemensstadt,namen [10] namen,#smartcity Top Word Pairs in Tweet in G10:
[22] द,य [22] ब,द [21] क,य [19] द,न [18] व,द [18] कर,द [16] न,म [14] mlkhattar,cmohry [14] #gurgaon,#smartcity [14] #smartcity,narendramodi 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 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: