The graph represents a network of 4,776 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, 08 April 2022 at 00:36 UTC.
The requested start date was Friday, 08 April 2022 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 2-day, 22-hour, 29-minute period from Monday, 04 April 2022 at 04:29 UTC to Thursday, 07 April 2022 at 02:58 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 : 4776
Unique Edges : 13402
Edges With Duplicates : 31437
Total Edges : 44839
Number of Edge Types : 5
Retweet : 3589
MentionsInRetweet : 13517
Tweet : 1059
Replies to : 2478
Mentions : 24196
Self-Loops : 1200
Reciprocated Vertex Pair Ratio : 0.0101351351351351
Reciprocated Edge Ratio : 0.020066889632107
Connected Components : 509
Single-Vertex Connected Components : 259
Maximum Vertices in a Connected Component : 3644
Maximum Edges in a Connected Component : 43078
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 4.917676
Graph Density : 0.000917765090724127
Modularity : 0.342658
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 4,776 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, 08 April 2022 at 00:36 UTC.
The requested start date was Friday, 08 April 2022 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 2-day, 22-hour, 29-minute period from Monday, 04 April 2022 at 04:29 UTC to Thursday, 07 April 2022 at 02:58 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:
[2369] swachhbharat,mohua_india [2255] swachhbharatgov,swachhbharat [1941] swachhaandhra,swachhbharatgov [1921] mohua_india,amritmahotsav [1887] vizag_smartcity,coc_gvmc [1456] swachsurvekshan,swachhaandhra [1454] gvmc_visakha,swachsurvekshan [1378] amritmahotsav,andhrapradeshcm [1312] cdma_municipal,vizag_smartcity [1230] andhrapradeshcm,cdma_municipal Top Word Pairs in Tweet in G1:
[2335] swachhbharat,mohua_india [2254] swachhbharatgov,swachhbharat [1939] swachhaandhra,swachhbharatgov [1919] mohua_india,amritmahotsav [1885] vizag_smartcity,coc_gvmc [1455] swachsurvekshan,swachhaandhra [1453] gvmc_visakha,swachsurvekshan [1378] amritmahotsav,andhrapradeshcm [1311] cdma_municipal,vizag_smartcity [1230] andhrapradeshcm,cdma_municipal Top Word Pairs in Tweet in G2:
[525] #iot,#iiot [430] #iiot,#iotpl [361] #iotpl,#iotcl [255] #iotcl,#iotcommunity [204] #iotcommunity,#intrernetofthings [179] #5g,#smartthings [172] #digitalcity,iotcommunity [171] #industry40,#smartcity [171] #smartcity,#digitalcity [168] #smartthings,#internetofeverything Top Word Pairs in Tweet in G3:
[31] learn,more [26] hello,guys [26] guys,invited [26] invited,join [26] join,host [26] host,ama [26] ama,session [26] session,twitch [26] twitch,10th [26] 10th,april Top Word Pairs in Tweet in G4:
[53] #automation,#smartcity [30] hybrid,approach [30] approach,redefining [30] redefining,metrics [30] metrics,determine [30] determine,success [30] success,businesses [30] businesses,take [30] take,agile [30] agile,approach Top Word Pairs in Tweet in G5:
[64] mohua_india,nagarvikasup [60] nagarvikasup,smartcities_hua [59] smartcities_hua,cmofficeup [42] avnylavasa,jammu_smartcity [40] worksdepartment,avnylavasa [38] #kanpurnagarnigam,#dmkanpur [38] #dmkanpur,#kmc [38] #kmc,mohua_india [34] न,क [33] diprjk,avnylavasa Top Word Pairs in Tweet in G6:
[40] mpurbandeptt,jansamparkmp [39] र,क [39] jabalpurdm,mpurbandeptt [39] jansamparkmp,commissioneruad [35] jbpcommissioner,cmmadhyapradesh [35] jscl_ceo,jmcjabalpur [35] jmcjabalpur,smartcities_hua [34] commissioneruad,jbpcommissioner [34] cmmadhyapradesh,swachhbharat [34] mohua_india,swachhbharatgov Top Word Pairs in Tweet in G7:
[25] smart,cities [17] cities,connect [8] smart,50 [8] incredibly,proud [7] main,stage [7] columbus,oh [6] #smartcities,#smartcommunities [6] looking,back [6] back,going [6] going,forward Top Word Pairs in Tweet in G8:
[11] smart,city [10] bad,hersfeld [8] die,stadt [6] smart,cities [5] heute,abend [5] abend,nix [5] nix,kreativ_bund [5] kreativ_bund,gebe [5] gebe,einblick [5] einblick,arbeit Top Word Pairs in Tweet in G9:
[25] visakhapatnamjn,jagdalpur [24] drmwaltairecor,vizagpanda [24] vizagpanda,chicacoleking [24] chicacoleking,vizaginsight [24] vizaginsight,mywaltair [24] mywaltair,destined_vizag [23] jagdalpur,drmwaltairecor [22] visakhavaasi,visakhapatnamjn [13] destined_vizag,vizag_sm [8] vskpism,visakhavaasi Top Word Pairs in Tweet in G10:
[15] smart,cities [15] cities,platform [15] platform,provides [15] provides,fulfilling [15] fulfilling,experience [15] experience,communication [15] communication,data [15] data,information [15] information,knowledge [14] vipernetworks,smart 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 G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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: