The graph represents a network of 5,440 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, 02 December 2022 at 01:26 UTC.
The requested start date was Friday, 02 December 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 6-day, 16-hour, 14-minute period from Thursday, 24 November 2022 at 10:46 UTC to Thursday, 01 December 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 : 5440
Unique Edges : 7177
Edges With Duplicates : 17020
Total Edges : 24197
Number of Edge Types : 5
Retweet : 4367
MentionsInRetweet : 7827
Mentions : 9632
Replies to : 888
Tweet : 1483
Self-Loops : 1897
Reciprocated Vertex Pair Ratio : 0.0256289456327146
Reciprocated Edge Ratio : 0.0499770326136886
Connected Components : 776
Single-Vertex Connected Components : 410
Maximum Vertices in a Connected Component : 3530
Maximum Edges in a Connected Component : 21083
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.083499
Graph Density : 0.000367883639942463
Modularity : 0.399061
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 5,440 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, 02 December 2022 at 01:26 UTC.
The requested start date was Friday, 02 December 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 6-day, 16-hour, 14-minute period from Thursday, 24 November 2022 at 10:46 UTC to Thursday, 01 December 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:
[474] #iot,#iiot [470] smart,city [322] perception,survey [321] citizen,perception [310] #ai,#ml [288] #iot,#5g [221] #ai,#machinelearning [211] #machinelearning,#iot [206] #ai,#iot [196] smart,cities Top Word Pairs in Tweet in G1:
[473] #iot,#iiot [308] #ai,#ml [282] #iot,#5g [215] #ai,#machinelearning [207] #machinelearning,#iot [200] #ai,#iot [185] #iiot,#iotpl [174] #iotpl,#iotcl [126] #datascience,#bigdata [108] #bigdata,#ai Top Word Pairs in Tweet in G2:
[317] perception,survey [316] citizen,perception [174] andhrapradeshcm,cdma_municipal [162] क,द [162] smartcities_hua,andhrapradeshcm [157] share,opinion [156] फ,डब [156] डब,क [152] participate,citizen [152] mohua_india,smartcities_hua Top Word Pairs in Tweet in G3:
[58] smart,city [23] smart,cities [17] telfar,bag [17] bag,70 [14] #smartcities,#smartcity [14] learn,more [13] digital,twin [13] #lahoresmartcity,#smartcity [12] himalaya,city [12] city,center Top Word Pairs in Tweet in G4:
[17] #smartcity,#mobility [11] condes,chile [11] peñaloza,ramos [10] स,और [10] smart,city [10] last,week [9] chile,turns [9] data,driven [9] driven,decision [9] ramos,condes Top Word Pairs in Tweet in G5:
[11] jmcjammu,jammu_smartcity [8] diprjk,infjammu [8] infjammu,officeoflgjandk [7] exhibitors,25th [7] asli,shobha [7] conference,diprjk [7] #egovjk2022,#digitaljk [7] #25thnceg,#egovjk2022 [7] saving,heritage [7] governance,conference Top Word Pairs in Tweet in G6:
[28] #smartcities,#smartcity [22] smart,cities [15] smart,city [10] smartedge,toolkit [10] crashes,happen [10] solution,uses [10] learn,more [10] car,crashes [10] #5g,smart [10] smart,rsu Top Word Pairs in Tweet in G7:
[34] smart,city [26] index,2022 [26] 2022,steht [26] city,index [26] steht,stadt [20] inno_trends,smart [9] stadt,#bitkom [8] stadt,#dresden [6] welches,potenzial [6] #vernetztineuropa,bbsr Top Word Pairs in Tweet in G8:
[96] look,countries [96] countries,inspiration [96] hub,ways [96] financial,hub [96] inspiration,developing [96] developing,smart [96] smart,city [96] city,financial [95] nijunction,look [95] ways,gujarat' Top Word Pairs in Tweet in G9:
[15] #rmc,#hockey [15] #hockey,#hockeyworldcup2023 [15] hockey,men's [15] cup,2023 [15] men's,world [15] odisha,hockey [15] countdown,begins [15] #rourkela,#rmc [15] go,#rourkela [15] fih,odisha Top Word Pairs in Tweet in G10:
[85] seamless,mobility [85] make,sustainable [85] time,kacyber [85] michelle,stalis [85] stalis,time [85] sustainable,seamless [85] kacyber,make [84] cool_inno,michelle [81] #africa,#smartcity [81] mobility,reality Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G4:
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Top Replied-To in G7:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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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: