The graph represents a network of 5,323 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, 29 October 2021 at 00:40 UTC.
The requested start date was Friday, 29 October 2021 at 00:01 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, 8-hour, 29-minute period from Friday, 22 October 2021 at 18:25 UTC to Thursday, 28 October 2021 at 02:55 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 : 5323
Unique Edges : 6232
Edges With Duplicates : 13136
Total Edges : 19368
Number of Edge Types : 5
MentionsInRetweet : 7554
Mentions : 5198
Retweet : 4935
Replies to : 399
Tweet : 1282
Self-Loops : 1471
Reciprocated Vertex Pair Ratio : 0.0296914623837701
Reciprocated Edge Ratio : 0.0576706003078502
Connected Components : 585
Single-Vertex Connected Components : 274
Maximum Vertices in a Connected Component : 3871
Maximum Edges in a Connected Component : 17153
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.582165
Graph Density : 0.000343993714428244
Modularity : 0.443396
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 5,323 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, 29 October 2021 at 00:40 UTC.
The requested start date was Friday, 29 October 2021 at 00:01 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, 8-hour, 29-minute period from Friday, 22 October 2021 at 18:25 UTC to Thursday, 28 October 2021 at 02:55 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:
[922] #iot,#iiot [631] #iiot,#iotpl [480] #iotpl,#iotcommunity [351] #iotcommunity,#intrernetofthings [341] #intrernetofthings,#tech [338] #tech,#technology [305] #technology,#5g [296] #5g,#smartthings [295] #industry40,#smartcity [292] #smartthings,#internetofeverything Top Word Pairs in Tweet in G1:
[827] #iot,#iiot [572] #iiot,#iotpl [437] #iotpl,#iotcommunity [337] #iotcommunity,#intrernetofthings [331] #intrernetofthings,#tech [313] #tech,#technology [301] #technology,#5g [295] #5g,#smartthings [294] #industry40,#smartcity [291] #smartthings,#internetofeverything Top Word Pairs in Tweet in G2:
[78] smart,city [59] #iot,#iiot [51] #iiot,#iotpl [37] #iotpl,#iotcommunity [25] creating,building [25] building,secure [25] secure,#smartcity [25] #smartcity,requires [25] requires,incorporating [25] incorporating,people Top Word Pairs in Tweet in G3:
[120] jammu_smartcity,jmcjammu [104] jmcjammu,ashishanand84 [80] avnylavasa,jammu_smartcity [57] thakurrsjamwal2,#jammu [54] #jammu,citizens [54] citizens,#smartcity [54] #smartcity,#jammu [54] #jammu,right [54] right,walk [54] walk,ma'am Top Word Pairs in Tweet in G4:
[106] smart,cities [55] smart,city [20] #iot,#iiot [18] #smartcities,#smartcity [18] #tech,#technology [16] creating,building [16] building,secure [16] secure,#smartcity [16] #smartcity,requires [16] requires,incorporating Top Word Pairs in Tweet in G5:
[25] smart,city [16] jokowi,bapak [16] ର,ବ [16] ଚ,ତ [16] ତ,ର [15] vaksinasi,covid [15] covid,19 [15] bapak,pembangunan [11] smart,cities [11] ର,#bmc Top Word Pairs in Tweet in G6:
[35] intel,ligent [33] turisme,intel [32] #valència,declarada [32] declarada,capital [32] capital,europea [32] europea,turisme [32] ligent,2022 [32] 2022,unió [32] unió,europea [32] europea,destacat Top Word Pairs in Tweet in G7:
[115] proud,associated [115] associated,esteemed [115] esteemed,organisations [115] organisations,working [115] working,towards [115] towards,common [115] common,cause [115] cause,sustainable [115] sustainable,development [114] mobility_india,proud Top Word Pairs in Tweet in G8:
[52] indian,cities [50] #smartcities,dream [50] dream,shri [50] shri,narendramodi [50] narendramodi,ji [50] ji,transforming [50] transforming,way [50] way,indian [50] cities,look [50] look,feel Top Word Pairs in Tweet in G9:
[27] vizag_smartcity,cdma_municipal [22] andhrapradeshcm,ghvkumarimayor [20] gvmc_official,gummallasrijana [19] cdma_municipal,coc_gvmc [19] cdma_municipal,andhrapradeshcm [19] gvmc_official,vizag_smartcity [18] gummallasrijana,vizag_smartcity [13] vizag_smartcity,coc_gvmc [12] coc_gvmc,cdma_municipal [5] vizag,city Top Word Pairs in Tweet in G10:
[14] machine,learning [13] smart,cities [9] smart,infrastructure [9] infrastructure,data [9] data,analytics [9] analytics,lab [9] lab,siemens [9] siemens,leverage [9] leverage,data [9] data,machine 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 G6:
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: