The graph represents a network of 5,437 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, 26 February 2021 at 01:45 UTC.
The requested start date was Friday, 26 February 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, 15-hour, 17-minute period from Sunday, 21 February 2021 at 14:09 UTC to Thursday, 25 February 2021 at 05:27 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 : 5437
Unique Edges : 6145
Edges With Duplicates : 13579
Total Edges : 19724
Number of Edge Types : 5
Retweet : 5291
MentionsInRetweet : 8556
Tweet : 1406
Replies to : 283
Mentions : 4188
Self-Loops : 1533
Reciprocated Vertex Pair Ratio : 0.0319933520307469
Reciprocated Edge Ratio : 0.0620030196275793
Connected Components : 787
Single-Vertex Connected Components : 366
Maximum Vertices in a Connected Component : 3324
Maximum Edges in a Connected Component : 16045
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 4.847326
Graph Density : 0.000336146884447893
Modularity : 0.436599
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 5,437 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, 26 February 2021 at 01:45 UTC.
The requested start date was Friday, 26 February 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, 15-hour, 17-minute period from Sunday, 21 February 2021 at 14:09 UTC to Thursday, 25 February 2021 at 05:27 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:
[1030] #rstats,#reactjs [912] #machinelearning,#ai [908] #analytics,#machinelearning [879] #iot,#iiot [865] #reactjs,#iot [858] #ai,#python [854] #python,#rstats [508] #iiot,#bigdata [337] smart,city [272] smart,cities Top Word Pairs in Tweet in G1:
[1023] #rstats,#reactjs [903] #machinelearning,#ai [901] #analytics,#machinelearning [862] #iot,#iiot [858] #reactjs,#iot [851] #ai,#python [847] #python,#rstats [503] #iiot,#bigdata [224] #datascientist,#datascience [208] #ai,#datascientist Top Word Pairs in Tweet in G2:
[97] smart,cities [41] mount,fuji [40] toyota's,prototype [40] prototype,#smartcity [40] #smartcity,future [40] future,mount [40] fuji,japan [40] japan,realtechmatters [40] realtechmatters,#tech [40] #tech,#socialmedia Top Word Pairs in Tweet in G3:
[45] smart,city [27] surprising,difficulty [27] difficulty,#selfdriving [27] #selfdriving,cars [27] cars,involves [27] involves,being [27] being,short [27] short,time [27] time,computationally [27] computationally,analyze Top Word Pairs in Tweet in G4:
[94] mohua_india,pmoindia [56] cmofficeup,upgovt [46] hon,ble [44] various,development [44] development,projects [44] projects,inaugurated [44] inaugurated,hon [44] ble,cm [44] cm,bjpbiplab [44] bjpbiplab,#amrut Top Word Pairs in Tweet in G5:
[241] africa,automated [241] automated,until [241] until,africans [241] africans,embrace [241] embrace,next [241] next,revolution [241] revolution,happen [241] happen,happen [240] looseeventsng,africa [2] #digitaltransformation,#digitalcreator Top Word Pairs in Tweet in G6:
[128] cevretvcomtr,#geridönüşüm [128] #geridönüşüm,programı [128] programı,canlı [128] canlı,yayınında [128] yayınında,denizsafakk [128] denizsafakk,ın [126] ın,sorularını [124] fatmasahin,cevretvcomtr [97] #sıfıratık,#zerowaste [95] sorularını,yanıtlıyorum Top Word Pairs in Tweet in G7:
[25] called,vaccine [23] vaccine,passports [22] passports,amount [22] amount,forced [22] forced,medication [22] medication,those [22] those,requiring [22] requiring,water [21] water,therapies [17] therapies,#swimming Top Word Pairs in Tweet in G8:
[25] knr,knr [25] knr,ca [24] learn,more [23] ca,learn [22] स,म [22] म,र [22] र,ट [21] kontrolgroup,kontrol [14] technology,knr [14] smart,city Top Word Pairs in Tweet in G9:
[18] #smartcities,#smartcity [14] smart,city [8] smart,traffic [8] save,cities [8] #pocityf,improve [8] improve,energy [8] energy,performance [8] performance,cities [8] cities,allowing [8] allowing,realization Top Word Pairs in Tweet in G10:
[21] smart,cities [20] georges,zissis [18] smart,lighting [12] artificial,intelligence [12] #blockchain,#iot [11] pay,#iota [11] #iota,content [11] content,11 [11] 11,15 [11] 15,stream Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G4:
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Top Replied-To in G10:
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: