The graph represents a network of 5,090 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, 05 November 2021 at 00:38 UTC.
The requested start date was Friday, 05 November 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, 1-hour, 59-minute period from Saturday, 30 October 2021 at 01:00 UTC to Thursday, 04 November 2021 at 02:59 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 : 5090
Unique Edges : 5580
Edges With Duplicates : 13710
Total Edges : 19290
Number of Edge Types : 5
Tweet : 1287
Retweet : 5009
MentionsInRetweet : 7376
Mentions : 5245
Replies to : 373
Self-Loops : 1432
Reciprocated Vertex Pair Ratio : 0.0262426331591238
Reciprocated Edge Ratio : 0.0511431357676888
Connected Components : 599
Single-Vertex Connected Components : 300
Maximum Vertices in a Connected Component : 3663
Maximum Edges in a Connected Component : 17125
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.792742
Graph Density : 0.000356290639582041
Modularity : 0.416278
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 5,090 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, 05 November 2021 at 00:38 UTC.
The requested start date was Friday, 05 November 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, 1-hour, 59-minute period from Saturday, 30 October 2021 at 01:00 UTC to Thursday, 04 November 2021 at 02:59 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:
[1165] #iot,#iiot [693] #iiot,#iotpl [617] #analytics,#machinelearning [560] #iotpl,#iotcommunity [533] #machinelearning,#ai [520] #rstats,#reactjs [505] #reactjs,#iot [493] #python,#rstats [490] #ai,#python [380] #iotcommunity,#intrernetofthings Top Word Pairs in Tweet in G1:
[1141] #iot,#iiot [677] #iiot,#iotpl [615] #analytics,#machinelearning [548] #iotpl,#iotcommunity [532] #machinelearning,#ai [519] #rstats,#reactjs [504] #reactjs,#iot [492] #python,#rstats [489] #ai,#python [375] #iotcommunity,#intrernetofthings Top Word Pairs in Tweet in G2:
[53] smart,city [45] selfie,point [43] kunal,kumar [38] jammu,jammu [36] म,र [36] cmguptaofficial,avnylavasa [34] क,य [33] य,क [33] jammu,smart [30] व,र Top Word Pairs in Tweet in G3:
[94] smart,cities [46] smart,city [24] #smartcities,#smartcity [23] cities,smart [12] city,leaders [10] itu,explore [10] hello,november [10] november,team [10] team,welcome [10] welcome,month Top Word Pairs in Tweet in G4:
[58] smart,city [21] smart,cities [14] learn,more [13] day,smart [12] lahore,smart [11] #smartcities,#innovation [11] expo,2021 [10] #cybernetics,#smartcities [10] #innovation,#ceos [10] #ceos,#cios Top Word Pairs in Tweet in G5:
[154] launch,umi [154] umi,2022 [154] 2022,hardeepspuri [154] hardeepspuri,hon'ble [154] hon'ble,union [154] union,minister [154] minister,ministry [154] ministry,housing [154] housing,urban [154] urban,affairs Top Word Pairs in Tweet in G6:
[18] #smartcity,#hriday [17] #warangal,#telangana [17] velide_anand,madurirajkumar [17] madurirajkumar,gattu_ranjith [17] gattu_ranjith,dasyamofficial [17] dasyamofficial,mc_gwmc [17] ktrtrs,telanganacmo [17] telanganacmo,dayakarrao2019 [16] #hriday,#amrut [16] dayakarrao2019,kadiyamsrihari Top Word Pairs in Tweet in G7:
[4] cities,better [4] c40cities,wricitiesindia [4] evaluation,noise [4] noise,barriers [4] barriers,based [4] based,geometries [4] geometries,materials [4] materials,review [4] review,research [4] research,csir_neeri Top Word Pairs in Tweet in G8:
[22] go,arc [22] arc,advisory [22] advisory,first [22] first,person [20] person,#marketresearch [19] innovative,financing [19] financing,structures [19] structures,needed [19] needed,fund [19] fund,africa Top Word Pairs in Tweet in G9:
[9] mohua_india,smartcities_hua [5] team,dult [5] dult,received [5] received,special [5] special,mention [5] mention,smart [5] smart,move [5] move,innovative [5] innovative,urban [5] urban,mobility Top Word Pairs in Tweet in G10:
[66] friday,dropping [66] dropping,bombshell [66] bombshell,drife [66] drife,making [66] making,moves [66] moves,think [66] think,announcement [65] drife_official,friday [65] announcement,leav Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G5:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G5:
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Top Tweeters in G10: