The graph represents a network of 4,670 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, 14 January 2022 at 01:42 UTC.
The requested start date was Friday, 14 January 2022 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 5-day, 6-hour, 33-minute period from Friday, 07 January 2022 at 20:15 UTC to Thursday, 13 January 2022 at 02:48 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 : 4670
Unique Edges : 6643
Edges With Duplicates : 15982
Total Edges : 22625
Number of Edge Types : 5
Retweet : 5198
MentionsInRetweet : 10161
Mentions : 5523
Tweet : 1318
Replies to : 425
Self-Loops : 1515
Reciprocated Vertex Pair Ratio : 0.0326400924321202
Reciprocated Edge Ratio : 0.0632167832167832
Connected Components : 503
Single-Vertex Connected Components : 238
Maximum Vertices in a Connected Component : 3460
Maximum Edges in a Connected Component : 20824
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.435716
Graph Density : 0.000491877034868922
Modularity : 0.387704
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 4,670 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, 14 January 2022 at 01:42 UTC.
The requested start date was Friday, 14 January 2022 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 5-day, 6-hour, 33-minute period from Friday, 07 January 2022 at 20:15 UTC to Thursday, 13 January 2022 at 02:48 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:
[753] #iot,#iiot [520] #iiot,#iotpl [505] smart,city [381] #ai,#iot [348] #iotpl,#iotcommunity [344] smart,cities [332] gave,kred [332] kred,#influence [258] #ai,#ml [255] eli_krumova,gave Top Word Pairs in Tweet in G1:
[413] #iot,#iiot [315] gave,kred [315] kred,#influence [294] #ai,#iot [238] eli_krumova,gave [229] #ai,#ml [208] #iiot,#iotpl [196] #machinelearning,#ai [179] #bigdata,#machinelearning [177] #rstats,#javascript Top Word Pairs in Tweet in G2:
[90] coc_gvmc,cdma_municipal [77] gvmc_official,vizag_smartcity [75] vizag_smartcity,coc_gvmc [59] swachhbharat,swachsurvekshan [51] mohua_india,smartcities_hua [49] swachhbharatgov,swachhbharat [41] cdma_municipal,andhrapradeshcm [34] cdma_municipal,swachhbharatgov [31] mayorkanpur,cmofficeup [30] myogiadityanath,commissionerknp Top Word Pairs in Tweet in G3:
[90] #iot,#iiot [80] smart,city [75] #iiot,#iotpl [57] #iotpl,#iotcommunity [36] smart,cities [33] #smartcities,#smartcity [31] #smartcity,mission [31] mission,#govt [31] #govt,release [31] release,rs Top Word Pairs in Tweet in G4:
[222] #iiot,#iotpl [221] #iot,#iiot [191] #iotpl,#iotcommunity [191] smart,cities [128] smart,city [116] #iotcommunity,#intrernetofthings [114] #intrernetofthings,#tech [112] #tech,#technology [107] #technology,#5g [107] #5g,#smartthings Top Word Pairs in Tweet in G5:
[30] smart,city [13] smart,cities [12] common,sense [12] પ,ર [12] ર,ક [9] મલ,ટ [9] ટ,લ [9] લ,વલ [9] વલ,પ [8] #smartcity,#iot Top Word Pairs in Tweet in G6:
[71] world,economic [70] economic,forum [69] smart,city [64] forum,#smartcities [63] city,world [60] japan,building [60] building,futuristic [60] futuristic,smart [60] #smartcities,#technology [60] #technology,wef Top Word Pairs in Tweet in G7:
[27] neue,woche [26] guten,morgen [26] morgen,#tanglenauten [26] #tanglenauten,neue [26] woche,neue [26] neue,#news [26] #news,wünschen [26] wünschen,viel [26] viel,spaß [25] iota_talk_,guten Top Word Pairs in Tweet in G8:
[10] ht,wswmuc [7] digital,twin [6] curb,productivity [6] digital,twins [5] #digitaltwin,precise [5] precise,virtual [5] virtual,model [5] model,product [5] product,production [5] production,assets Top Word Pairs in Tweet in G9:
[103] increase,adoption [103] adoption,#iot [103] #iot,technology [103] technology,infrastructure [103] infrastructure,management [103] management,city [103] city,monitoring [103] monitoring,exponential [103] exponential,rise [103] rise,urban Top Word Pairs in Tweet in G10:
[21] artificial,intelligence [17] 200,andaluces [12] tecnología,#5g [11] 2022,01 [10] internet,things [10] #ai,#artificialintelligence [10] #iot,#internetofthings [9] #artificialintelligence,#iot [9] #5g,#5g [9] #5g,#cloud Top Replied-To in Entire Graph:
Top Replied-To in G1:
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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: