The graph represents a network of 4,163 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, 31 December 2021 at 01:41 UTC.
The requested start date was Friday, 31 December 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 5-day, 9-hour, 11-minute period from Friday, 24 December 2021 at 17:49 UTC to Thursday, 30 December 2021 at 03:00 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 : 4163
Unique Edges : 5193
Edges With Duplicates : 15632
Total Edges : 20825
Number of Edge Types : 5
Retweet : 5445
MentionsInRetweet : 8596
Mentions : 5199
Tweet : 1204
Replies to : 381
Self-Loops : 1442
Reciprocated Vertex Pair Ratio : 0.0256946866643414
Reciprocated Edge Ratio : 0.0501020176830651
Connected Components : 368
Single-Vertex Connected Components : 191
Maximum Vertices in a Connected Component : 3358
Maximum Edges in a Connected Component : 19550
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.769786
Graph Density : 0.000509165028223395
Modularity : 0.360678
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 4,163 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, 31 December 2021 at 01:41 UTC.
The requested start date was Friday, 31 December 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 5-day, 9-hour, 11-minute period from Friday, 24 December 2021 at 17:49 UTC to Thursday, 30 December 2021 at 03:00 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:
[1526] #iot,#iiot [1168] #machinelearning,#ai [986] #ai,#python [934] #rstats,#reactjs [902] #reactjs,#iot [878] #python,#rstats [807] #analytics,#machinelearning [627] #iiot,#iotpl [493] #iotpl,#iotcommunity [399] #iiot,#ml Top Word Pairs in Tweet in G1:
[1148] #machinelearning,#ai [1034] #iot,#iiot [968] #ai,#python [915] #rstats,#reactjs [885] #reactjs,#iot [861] #python,#rstats [793] #analytics,#machinelearning [391] #iiot,#ml [337] #analyics,#machinelearning [271] #iiot,#linux Top Word Pairs in Tweet in G2:
[65] smart,cities [55] #iot,#iiot [54] smart,city [51] र,क [50] mohua_india,smartcities_hua [49] #iiot,#iotpl [48] क,स [47] स,ट [47] प,र [43] क,र Top Word Pairs in Tweet in G3:
[385] #iot,#iiot [372] #iiot,#iotpl [316] #iotpl,#iotcommunity [209] #iotcommunity,#intrernetofthings [192] #intrernetofthings,#tech [168] #tech,#technology [163] #technology,#5g [158] #5g,#smartthings [157] #industry40,#smartcity [157] #smartcity,#digitalcity Top Word Pairs in Tweet in G4:
[28] smart,cities [28] smart,city [25] #iot,#iiot [17] merry,christmas [16] china4tech,china [16] #ai,#ml [16] christmas,conste11ation [14] conste11ation,family [14] family,hey [14] hey,gilbert Top Word Pairs in Tweet in G5:
[19] smart,city [17] smart,cities [11] #smartcity,#bhubaneswar [10] ର,ଜ [10] ଜ,ୟ [10] ଙ,କ [8] greek,digital [8] digital,ministry [8] ministry,invites [8] invites,municipalities Top Word Pairs in Tweet in G6:
[11] #प,ण [8] ल,क [8] य,ण [7] म,ट [7] क,क [7] प,त [7] cmofficeup,myogiadityanath [7] myogiadityanath,dainikbhaskar [7] dainikbhaskar,satishmahanaup [7] satishmahanaup,sdpachauri1 Top Word Pairs in Tweet in G7:
[13] bon,dia [13] #viladecans,#mazónfake [13] #mazónfake,#fotomuebles [11] smart,cities [10] evhvico,#viladecans [9] #fotomuebles,bon [9] dia,7am [9] 7am,servicio [9] servicio,cuesta [9] cuesta,millones Top Word Pairs in Tweet in G8:
[6] #socialnetwork_connectedcars,ubuntuone [6] ubuntuone,linuxfoundation [6] #v2v,#v2c [6] #v2c,#v2x [6] #visionzerotech,#smartcar [6] #smartcar,#smartcity [4] linuxfoundation,ubuntu [4] ubuntu,ubuntucloud [4] ubuntucloud,#v2v [4] #v2x,#roadtozero Top Word Pairs in Tweet in G9:
[10] #iot,#iiot [9] #iiot,#iotpl [7] world,economic [7] economic,forum [7] #iotpl,#iotcommunity [5] #digitaltransformation,#businesses [5] #businesses,#governments [5] #governments,change [5] #smartcities,#4ir [5] #4ir,#ai Top Word Pairs in Tweet in G10:
[46] #iota,#assembly [36] #shimmer,#iota [36] #assembly,#cryptocurrecies [36] #cryptocurrecies,#stablecoins [36] #stablecoins,#cbdc [36] #cbdc,#nfts [36] #nfts,#nativeassets [35] vrom14286662,#shimmer [35] #nativeassets,#coloredco [17] 2018,posted Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: