The graph represents a network of 4,332 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, 01 May 2020 at 00:37 UTC.
The requested start date was Friday, 01 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 2-day, 11-hour, 41-minute period from Monday, 27 April 2020 at 18:30 UTC to Thursday, 30 April 2020 at 06:12 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 : 4332
Unique Edges : 6969
Edges With Duplicates : 14606
Total Edges : 21575
Number of Edge Types : 5
Retweet : 3467
MentionsInRetweet : 11730
Replies to : 412
Mentions : 5096
Tweet : 870
Self-Loops : 935
Reciprocated Vertex Pair Ratio : 0.021772657171369
Reciprocated Edge Ratio : 0.042617419870372
Connected Components : 493
Single-Vertex Connected Components : 213
Maximum Vertices in a Connected Component : 2938
Maximum Edges in a Connected Component : 19116
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.773413
Graph Density : 0.00060031259107557
Modularity : 0.446799
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 4,332 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, 01 May 2020 at 00:37 UTC.
The requested start date was Friday, 01 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 2-day, 11-hour, 41-minute period from Monday, 27 April 2020 at 18:30 UTC to Thursday, 30 April 2020 at 06:12 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:
[528] chiefsecyup,prabhuns_ [511] pmoindia,cmofficeup [510] agrapolice,pmoindia [510] cmofficeup,chiefsecyup [509] prabhuns_,officeofdmagra [508] hardeepspuri,agrapolice [506] officeofdmagra,smartcityagra [497] smartcityagra,mohua_india [463] gt,gt [313] mohua_india,swachhbharatgov Top Word Pairs in Tweet in G1:
[388] gt,gt [169] #iot,#5g [151] #5g,#smartcity [150] excavator,operator [150] operator,germany [150] germany,actually [150] actually,digging [150] digging,construction [150] construction,site [150] site,south Top Word Pairs in Tweet in G2:
[528] chiefsecyup,prabhuns_ [511] pmoindia,cmofficeup [510] agrapolice,pmoindia [510] cmofficeup,chiefsecyup [509] prabhuns_,officeofdmagra [508] hardeepspuri,agrapolice [506] officeofdmagra,smartcityagra [497] smartcityagra,mohua_india [313] mohua_india,swachhbharatgov [313] swachhbharatgov,amrut_mohua Top Word Pairs in Tweet in G3:
[121] smart,cities [30] covid,19 [24] smart,city [23] #smartcities,#smartcity [19] news,#smartcities [18] cities,glance [15] using,technology [14] solve,problems [13] iot,news [13] #covid19,showed Top Word Pairs in Tweet in G4:
[25] gt,gt [17] smart,city [17] smart,cities [15] #latestnews,#smartcities [13] #iot,#smartcities [11] covid,19 [10] #smartcities,#smartcity [10] coppelbrug,gemeente [10] gemeente,maassluis [10] maassluis,brug Top Word Pairs in Tweet in G5:
[28] gt,gt [14] covid,19 [12] smart,cities [11] #iot,#smartcity [11] webinar,conversation [9] conversation,china [9] #smartcities,#mobility [9] join,webinar [9] paradigm,shifts [7] proud,announce Top Word Pairs in Tweet in G6:
[82] data,energy [82] energy,#smartcities [82] #smartcities,#iotacommunity [82] #iotacommunity,project [82] project,week [82] week,focuses [82] focuses,improving [80] waste,management [79] iotatoken,data [77] improving,waste Top Word Pairs in Tweet in G7:
[12] #webinar,#dihs [12] #dihs,help [12] help,transition [12] transition,towards [12] towards,#smartcities [12] #smartcities,h0 [12] h0,co [11] today,program [11] program,#idsavirtualexpo [11] #idsavirtualexpo,focuses Top Word Pairs in Tweet in G8:
[72] fake,philanthropist [72] philanthropist,eugenicist [72] eugenicist,nerd [72] nerd,mascot [72] mascot,world [72] world,order [72] order,#wedonotconsent [72] #wedonotconsent,#markofthebeast [72] #markofthebeast,#unagenda2030 [71] urylle,fake Top Word Pairs in Tweet in G9:
[26] covid,19 [22] miss,last [22] last,#jsavirtualroundtable [22] #jsavirtualroundtable,#smartcities [22] #smartcities,#iot [22] #iot,world [22] world,covid [22] 19,watch [22] watch,#jsatv [21] telecompr,miss Top Word Pairs in Tweet in G10:
[29] #smartcities,milan [29] milan,turned [29] turned,35km [29] 35km,streets [29] streets,bicycle [29] bicycle,lanes [29] lanes,city [29] city,next [29] next,#sustainability [29] thenergynet,#smartcities Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: