The graph represents a network of 100 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, 18 November 2022 at 01:11 UTC.
The requested start date was Friday, 18 November 2022 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 1-hour, 42-minute period from Friday, 04 November 2022 at 01:11 UTC to Friday, 04 November 2022 at 02:54 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 : 100
Unique Edges : 85
Edges With Duplicates : 50
Total Edges : 135
Number of Edge Types : 5
Mentions : 65
Retweet : 24
MentionsInRetweet : 31
Tweet : 11
Replies to : 4
Self-Loops : 11
Reciprocated Vertex Pair Ratio : 0.0103092783505155
Reciprocated Edge Ratio : 0.0204081632653061
Connected Components : 18
Single-Vertex Connected Components : 4
Maximum Vertices in a Connected Component : 32
Maximum Edges in a Connected Component : 45
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.832247
Graph Density : 0.0098989898989899
Modularity : 0.648861
NodeXL Version : 1.0.1.507
Data Import : The graph represents a network of 100 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, 18 November 2022 at 01:11 UTC.
The requested start date was Friday, 18 November 2022 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 1-hour, 42-minute period from Friday, 04 November 2022 at 01:11 UTC to Friday, 04 November 2022 at 02:54 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:
[6] smart,city [5] œà,µà [4] #smartcity,needs [4] flex,series [4] needs,well [4] development,corporation [4] showing,wasnâ [4] well,intel [4] induction,35 [4] gpu,flex Top Word Pairs in Tweet in G1:
[2] corporation,limited [2] mohua_india,smartcities_hua [2] aurangabad,smart [2] smart,city [2] cmomaharashtra,aurangabadsmart [2] award,induction [2] letter,award [2] induction,35 [2] smartcities_hua,cmomaharashtra [2] aurangabadsmart,maha_udd Top Word Pairs in Tweet in G2:
[3] indicators,analytics_699 [3] enough,40 [3] fast,enough [3] #climateemergency,arenâ [3] progressing,fast [3] key,indicators [3] analytics_699,pawlowskimario [3] arenâ,progressing [3] 40,key [3] #selfdrivingcars,#ai Top Word Pairs in Tweet in G3:
[2] cycling,path [2] traffic,signs [2] signs,snowy [2] path,oulu [2] projected,light [2] oulu,#finland [2] illuminates,traffic [2] surface,cycling [2] snowy,surface [2] light,illuminates Top Word Pairs in Tweet in G4:
[4] µà,µà [2] ˆà,µ [2] ˆ,µà [2] ªà,µà [2] ª,ªà [2] œà,ªà [2] #à,ˆ [2] ªà,ˆà [2] µ,µà [2] µà,ª Top Word Pairs in Tweet in G5:
[3] #datasecurity,#infosec [3] #100daysofcode,#hacking [3] #infosec,#100daysofcode [3] #hacking,#cybersecurity [3] #cybersecurity,#ai [3] launch,huge [3] huge,boost [3] expected,price [3] price,looking [3] bp,mainnet Top Word Pairs in Tweet in G6:
[4] ªà,œà [3] µà,ÿà [3] ÿà,ÿà [3] ÿà,ªà [3] œà,µà [2] neeraj_jain75,œà Top Word Pairs in Tweet in G8:
[3] security,smart [3] risk,capabilities [3] cities,maturity [3] cyber,risk [3] proportional,degree [3] maturity,cyber [3] cyber,security [3] smart,cities [3] directly,proportional [3] capabilities,directly Top Word Pairs in Tweet in G10:
[2] #qualitycontrol,#predictivemaintenance [2] time,#qualitycontrol [2] help,lower [2] efficiency,meet [2] lower,costs [2] #predictivemaintenance,help [2] improve,energy [2] energy,efficiency [2] costs,improve Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G5:
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: