The graph represents a network of 4,611 Twitter users whose tweets in the requested range contained "smartcity OR smartcities", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 26 November 2021 at 01:37 UTC.
The requested start date was Friday, 26 November 2021 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 3-day, 18-hour, 1-minute period from Sunday, 21 November 2021 at 09:00 UTC to Thursday, 25 November 2021 at 03:01 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 : 4611
Unique Edges : 4605
Edges With Duplicates : 13261
Total Edges : 17866
Number of Edge Types : 5
Replies to : 242
Mentions : 3697
MentionsInRetweet : 7316
Retweet : 5206
Tweet : 1405
Self-Loops : 1535
Reciprocated Vertex Pair Ratio : 0.0278251739073369
Reciprocated Edge Ratio : 0.0541437875111735
Connected Components : 559
Single-Vertex Connected Components : 295
Maximum Vertices in a Connected Component : 3363
Maximum Edges in a Connected Component : 16055
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.920369
Graph Density : 0.000368401318924707
Modularity : 0.383795
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 4,611 Twitter users whose tweets in the requested range contained "smartcity OR smartcities", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 26 November 2021 at 01:37 UTC.
The requested start date was Friday, 26 November 2021 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 3-day, 18-hour, 1-minute period from Sunday, 21 November 2021 at 09:00 UTC to Thursday, 25 November 2021 at 03:01 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 : GraphServerTwitterSearch
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:
[1188] #iot,#iiot [700] #iiot,#iotpl [613] #ai,#datascientist [575] #datascientist,#bigdata [532] #rstats,#reactjs [493] #iotpl,#iotcommunity [485] #bigdata,#machinelearning [393] #machinelearning,#analytics [384] #reactjs,#iot [382] smart,city Top Word Pairs in Tweet in G1:
[727] #iot,#iiot [588] #ai,#datascientist [552] #datascientist,#bigdata [517] #rstats,#reactjs [467] #bigdata,#machinelearning [377] #machinelearning,#analytics [375] #reactjs,#iot [374] #analytics,#machinelearning [362] #machinelearning,#ai [333] #ai,#rstats Top Word Pairs in Tweet in G2:
[64] smart,city [50] #iot,#iiot [41] #iiot,#iotpl [31] #iotpl,#iotcommunity [30] gt,gt [22] smart,cities [20] bla,bla [19] kishanreddybjp,drtamilisaiguv [18] smart,road [18] road,show Top Word Pairs in Tweet in G3:
[21] amitit21,noida7x [21] noida7x,ceonoida [21] ceonoida,arvindkejriwal [21] arvindkejriwal,ltgovdelhi [21] ltgovdelhi,nitin_gadkari [21] nitin_gadkari,cmofficeup [21] cmofficeup,pmoindia [20] vizag_smartcity,coc_gvmc [20] स,ट [19] smart,city Top Word Pairs in Tweet in G4:
[38] concept,build [38] build,trust [38] trust,society [38] society,integral [38] integral,building [38] building,trust [38] trust,technology [38] technology,ed [38] ed,koehler [38] koehler,distinguished Top Word Pairs in Tweet in G5:
[22] smart,city [12] city,index [12] tras,difícil [12] difícil,paréntesis [12] paréntesis,debido [12] debido,pandemia [12] pandemia,covid [12] covid,19 [12] 19,fcc [12] fcc,medio Top Word Pairs in Tweet in G6:
[385] #iot,#iiot [379] #iiot,#iotpl [323] #iotpl,#iotcommunity [258] #iotcommunity,#intrernetofthings [255] #intrernetofthings,#tech [239] #tech,#technology [236] #technology,#5g [231] #5g,#smartthings [229] #industry40,#smartcity [228] #smartthings,#internetofeverything Top Word Pairs in Tweet in G7:
[21] smart,city [15] urban,mobility [15] mobility,smart [15] city,applications [15] applications,discover [15] discover,ariadna [15] ariadna,project [15] project,facilitated [15] facilitated,uptake [15] uptake,galileo Top Word Pairs in Tweet in G8:
[30] smart,city [25] city,expo [25] expo,world [25] benchmark,visit [25] visit,barcelona [19] world,congress [17] took,sometime [17] sometime,during [17] during,smart [17] congress,spain Top Word Pairs in Tweet in G9:
[24] africa,first [24] first,#3dprinted [24] #3dprinted,affordable [24] affordable,#home [24] #home,#carbon [24] #carbon,footprint [24] footprint,70 [24] 70,smaller [24] smaller,traditional [24] traditional,#housing Top Word Pairs in Tweet in G10:
[55] under,#chennai [55] #chennai,#smartcity [55] #smartcity,96 [55] 96,bridge [55] bridge,#tnagar [55] #tnagar,#chennairains [54] ahmedshabbir20,under [7] ர,ப [6] க,ட [6] க,க 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 G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
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Top Mentioned in G7:
Top Mentioned in G8:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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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: