The graph represents a network of 5,926 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, 22 January 2021 at 01:46 UTC.
The requested start date was Friday, 22 January 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 3-day, 17-hour, 7-minute period from Sunday, 17 January 2021 at 12:22 UTC to Thursday, 21 January 2021 at 05:30 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 : 5926
Unique Edges : 5889
Edges With Duplicates : 13641
Total Edges : 19530
Number of Edge Types : 5
Mentions : 4534
Retweet : 5264
MentionsInRetweet : 8057
Tweet : 1377
Replies to : 298
Self-Loops : 1518
Reciprocated Vertex Pair Ratio : 0.0291796469366563
Reciprocated Edge Ratio : 0.0567046715770356
Connected Components : 808
Single-Vertex Connected Components : 404
Maximum Vertices in a Connected Component : 3849
Maximum Edges in a Connected Component : 16331
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.548124
Graph Density : 0.000282271788058345
Modularity : 0.45458
NodeXL Version : 1.0.1.442
Data Import : The graph represents a network of 5,926 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, 22 January 2021 at 01:46 UTC.
The requested start date was Friday, 22 January 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 3-day, 17-hour, 7-minute period from Sunday, 17 January 2021 at 12:22 UTC to Thursday, 21 January 2021 at 05:30 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:
[1038] #rstats,#reactjs [643] #analytics,#ai [588] #analytics,#machinelearning [526] #iot,#iiot [518] #machinelearning,#ai [516] ட,ட [496] ட,ச [458] #bigdata,#rstats [444] ச,ட [442] ஸ,ம Top Word Pairs in Tweet in G1:
[1031] #rstats,#reactjs [641] #analytics,#ai [581] #analytics,#machinelearning [511] #machinelearning,#ai [507] #iot,#iiot [457] #bigdata,#rstats [351] #reactjs,#iot [333] #ai,#bigdata [331] #ai,#machinelearning [312] #linux,#serverless Top Word Pairs in Tweet in G2:
[58] smartcities_hua,mohua_india [51] upgovt,cmofficeup [50] chiefsecyup,upgovt [49] cmofficeup,smartcities_hua [48] mohua_india,hardeepspuri [46] hardeepspuri,infodeptup [46] infodeptup,mygovindia [45] noida_authority,chiefsecyup [43] vizag_smartcity,coc_gvmc [35] gvmc_official,gummallasrijana Top Word Pairs in Tweet in G3:
[38] smart,city [27] isaac,asimov's [27] asimov's,famous [27] famous,three [27] three,laws [27] laws,robotics [27] robotics,context [27] context,#selfdriving [27] #selfdriving,cars [27] cars,found Top Word Pairs in Tweet in G4:
[274] tradotto,alfaromeo [274] alfaromeo,maserati [274] maserati,sono [274] sono,peugeot [274] peugeot,tristezza [273] carlo_d___,tradotto [76] sarà,francese [76] francese,psa [76] psa,comprare [76] comprare,fca Top Word Pairs in Tweet in G5:
[493] ட,ட [480] ட,ச [427] ஸ,ம [427] ம,ர [427] ர,ட [427] ச,ட [311] க,ட [249] ட,ஆல [247] ஆல,சன [247] சன,க Top Word Pairs in Tweet in G6:
[152] clue,modi's [152] modi's,#smartcity [152] #smartcity,under [152] under,modi's [152] modi's,made [152] made,india [152] india,banner [152] banner,china [152] china,builds [152] builds,smart Top Word Pairs in Tweet in G7:
[39] smart,city [25] #smartcity,#innovation [24] smart,cities [15] technology,news [14] funding,progress [14] progress,times [14] times,covid [14] covid,#smartcity [13] city,testbed [13] innovative,financing Top Word Pairs in Tweet in G8:
[21] #mondaypositive,eye [21] eye,catching [21] catching,beautiful [21] beautiful,art [21] art,sculptures [21] sculptures,ring [21] ring,road [21] road,parts [21] parts,#hyderabad [21] #hyderabad,part Top Word Pairs in Tweet in G9:
[24] join,25th [24] 25th,annual [24] annual,arc [24] arc,industry [24] industry,forum [24] forum,learn [24] learn,industry [24] industry,leaders [24] leaders,transforming [24] transforming,operations Top Word Pairs in Tweet in G10:
[22] #smartcities,#smartcity [17] 28,01 [17] 01,free [17] free,eusmartcities [17] eusmartcities,eumayors [17] eumayors,webinar [17] webinar,finance [17] finance,local [17] local,climate [17] climate,energy Top Replied-To in Entire Graph:
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Top Replied-To in G7:
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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 G10: