The graph represents a network of 4,988 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, 25 June 2021 at 00:36 UTC.
The requested start date was Friday, 25 June 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 2-day, 13-hour, 36-minute period from Monday, 21 June 2021 at 13:30 UTC to Thursday, 24 June 2021 at 03:07 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 : 4988
Unique Edges : 6242
Edges With Duplicates : 15612
Total Edges : 21854
Number of Edge Types : 5
Retweet : 4683
MentionsInRetweet : 9137
Mentions : 5696
Replies to : 1347
Tweet : 991
Self-Loops : 1091
Reciprocated Vertex Pair Ratio : 0.0264885669006113
Reciprocated Edge Ratio : 0.0516100573445082
Connected Components : 558
Single-Vertex Connected Components : 236
Maximum Vertices in a Connected Component : 3424
Maximum Edges in a Connected Component : 19451
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.324374
Graph Density : 0.000364540427404757
Modularity : 0.363521
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 4,988 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, 25 June 2021 at 00:36 UTC.
The requested start date was Friday, 25 June 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 2-day, 13-hour, 36-minute period from Monday, 21 June 2021 at 13:30 UTC to Thursday, 24 June 2021 at 03:07 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:
[1802] tns_corp,tiaonline [1802] tiaonline,global [1802] global,conference [1802] conference,learn [1802] learn,#blockchain [1801] join,tns_corp [1801] #blockchain,used [1649] used,enhance [1291] enhance,#ict [1159] #5g,#iot Top Word Pairs in Tweet in G1:
[1717] tns_corp,tiaonline [1717] tiaonline,global [1717] global,conference [1717] conference,learn [1717] learn,#blockchain [1716] join,tns_corp [1716] #blockchain,used [1581] used,enhance [1271] enhance,#ict [1146] #cybersecurity,#smartcities Top Word Pairs in Tweet in G2:
[749] #iot,#iiot [555] #rstats,#reactjs [489] #reactjs,#iot [410] ideas,2021 [406] app,ideas [397] 2021,valuecoders [387] #machinelearning,#ai [357] #machinelearning,app [334] #analytics,#machinelearning [305] #ai,#5g Top Word Pairs in Tweet in G3:
[63] srinagar,smart [49] mohua_india,smartcities_hua [43] dearth,talent [42] officeoflgjandk,nitishwarkumar [42] looks,done [42] done,local [42] local,artists [42] artists,srinagar [42] srinagar,dearth [42] talent,creativity Top Word Pairs in Tweet in G4:
[101] smart,cities [50] visit,arc [50] arc,advisory [50] advisory,group [50] group,first [50] first,person [39] arc,advisory's [38] smart,city [35] advisory's,#smartcities [34] #smartcities,#podcast Top Word Pairs in Tweet in G5:
[26] smart,city [17] smart,cities [9] saas,fee [7] #capitalsmartcity,#smartcity [6] ବର,ଷ [6] read,more [4] ଅସର,ଏ [4] ଏ,ବର [4] ବ,ଡ [4] म,र Top Word Pairs in Tweet in G6:
[8] म,र [7] स,म [5] र,ट [4] muncorpgurugram,dc_gurugram [3] dc_gurugram,sudhirsinglabjp [3] sudhirsinglabjp,narendramodi [3] narendramodi,dhbvn6 [3] dhbvn6,mlkhattar [3] mlkhattar,sector [3] sector,56 Top Word Pairs in Tweet in G7:
[328] #iot,#iiot [316] #iiot,#iotpl [268] #iotpl,#iotcommunity [230] #tech,#technology [225] #5g,#smartthings [224] #technology,#5g [223] #smartthings,#internetofeverything [222] #iotcommunity,#intrernetofthings [220] #industry40,#smartcity [219] #internetofeverything,#industry40 Top Word Pairs in Tweet in G8:
[43] #smartcity,#5g [23] #talkfor5g,#smartcity [20] grazie,ai [20] ai,partecipanti [20] partecipanti,#talkfor5g [20] #5g,contributi [20] contributi,idee [20] idee,qualità [20] qualità,enzabrunobossio [19] supermik14,grazie Top Word Pairs in Tweet in G9:
[8] ht,wswmuc [7] smart,cities [6] #digitaltwin,#smartcity [6] know,atos [6] atos,siemens' [6] siemens',manage [6] manage,more [6] more,130 [6] 130,million [6] million,#smartmeters Top Word Pairs in Tweet in G10:
[37] र,ट [35] स,म [34] म,र [33] ट,स [28] स,ट [25] र,क [20] क,ट [15] इल,क [15] ट,र [15] क,बस Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: