The graph represents a network of 3,816 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, 07 October 2022 at 00:21 UTC.
The requested start date was Friday, 07 October 2022 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 4-day, 4-hour, 45-minute period from Saturday, 01 October 2022 at 22:14 UTC to Thursday, 06 October 2022 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 : 3816
Unique Edges : 3646
Edges With Duplicates : 14086
Total Edges : 17732
Number of Edge Types : 5
Retweet : 4952
MentionsInRetweet : 6436
Mentions : 4373
Tweet : 1174
Replies to : 797
Self-Loops : 1647
Reciprocated Vertex Pair Ratio : 0.0258706467661692
Reciprocated Edge Ratio : 0.0504364694471387
Connected Components : 576
Single-Vertex Connected Components : 296
Maximum Vertices in a Connected Component : 2419
Maximum Edges in a Connected Component : 15492
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.153305
Graph Density : 0.000424919838110075
Modularity : 0.31669
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 3,816 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, 07 October 2022 at 00:21 UTC.
The requested start date was Friday, 07 October 2022 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 4-day, 4-hour, 45-minute period from Saturday, 01 October 2022 at 22:14 UTC to Thursday, 06 October 2022 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:
[1270] #iot,#iiot [1075] #ai,#machinelearning [895] #machinelearning,#iot [790] #iiot,#cx [769] #cx,#selfdrivingcars [702] #selfdrivingcars,#smartcity [691] #healthtech,#datascientist [691] #datascientist,#csuite [691] #csuite,#digitalhealth [691] #cx,#ehealth Top Word Pairs in Tweet in G1:
[1103] #iot,#iiot [1040] #ai,#machinelearning [880] #machinelearning,#iot [778] #iiot,#cx [759] #cx,#selfdrivingcars [690] #selfdrivingcars,#smartcity [634] #healthtech,#datascientist [634] #datascientist,#csuite [634] #csuite,#digitalhealth [634] #cx,#ehealth Top Word Pairs in Tweet in G2:
[28] र,क [28] smartcities_hua,mohua_india [27] क,स [22] म,र [22] द,वस [22] cmmadhyapradesh,bhupendrasingho [21] pmoindia,rao_inderjits [21] rao_inderjits,swachhbharatgov [21] swachhbharatgov,cmmadhyapradesh [21] bhupendrasingho,healthminmp Top Word Pairs in Tweet in G3:
[42] #ai,algorithms [42] algorithms,progressing [42] progressing,compete [42] compete,best [42] best,human [42] human,brain [42] brain,large [42] large,more [42] more,work [42] work,done Top Word Pairs in Tweet in G4:
[160] #iot,#iiot [129] #ai,#ml [91] #iiot,#iotpl [81] gave,kred [81] kred,#influence [74] #iotpl,#iotcl [69] #smartcities,#marketing [57] #healthtech,#datascientist [57] #datascientist,#csuite [57] #csuite,#digitalhealth Top Word Pairs in Tweet in G5:
[67] smart,cities [16] smart,city [14] doha,street [14] street,lights [14] lights,traffic [14] traffic,sensor [14] sensor,dimmers [14] dimmers,check [14] check,smart [14] cities,project Top Word Pairs in Tweet in G6:
[13] #smartcity,#mobility [10] #smartcities,#futurecities [8] #urbanplanning,#urbangovernance [8] ht,wswmuc [5] #bigdata,#urbandata [5] article,published [5] published,colleagues [5] colleagues,gretanasi [5] gretanasi,mariacucciniell [5] mariacucciniell,role Top Word Pairs in Tweet in G7:
[16] ज,क [13] मह,त [13] त,म [13] म,ग [13] ग,ध [13] ध,ज [13] श,स [13] त,र [13] cmguptaofficial,officeoflgjandk [13] officeoflgjandk,jammu_smartcity Top Word Pairs in Tweet in G8:
[74] #automation,#smartcities [74] #smartcities,future [74] future,statistics [74] statistics,excited [74] excited,come [73] automatedcity,#automation [2] facts,beyondprotocol1 [2] beyondprotocol1,#blockchain [2] #blockchain,change [2] change,many Top Word Pairs in Tweet in G9:
[36] infrastructure,monitoring [35] dpls,darkpulse [35] darkpulse,first [35] first,fully [35] fully,immersive [35] immersive,infrastructure [35] monitoring,technology [35] technology,world [35] world,first [35] first,launch Top Word Pairs in Tweet in G10:
[21] smart,city [20] smart,cities [13] #iot,#5g [11] procedure,london [11] london,based [11] based,surgeon [11] surgeon,californian [11] californian,banana [11] banana,#iot [11] #ai,#ml 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:
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Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: