The graph represents a network of 4,477 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 October 2022 at 00:23 UTC.
The requested start date was Friday, 14 October 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 3-day, 20-hour, 32-minute period from Sunday, 09 October 2022 at 06:27 UTC to Thursday, 13 October 2022 at 03:00 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 : 4477
Unique Edges : 4898
Edges With Duplicates : 15749
Total Edges : 20647
Number of Edge Types : 5
Tweet : 1146
MentionsInRetweet : 7388
Mentions : 6462
Retweet : 4843
Replies to : 808
Self-Loops : 1627
Reciprocated Vertex Pair Ratio : 0.0279378601854172
Reciprocated Edge Ratio : 0.054357099329677
Connected Components : 535
Single-Vertex Connected Components : 275
Maximum Vertices in a Connected Component : 3090
Maximum Edges in a Connected Component : 18409
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.096315
Graph Density : 0.000409450506940149
Modularity : 0.352805
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 4,477 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 October 2022 at 00:23 UTC.
The requested start date was Friday, 14 October 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 3-day, 20-hour, 32-minute period from Sunday, 09 October 2022 at 06:27 UTC to Thursday, 13 October 2022 at 03:00 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:
[1107] #iot,#iiot [989] #machinelearning,#iot [978] #ai,#machinelearning [760] #datascientist,#csuite [757] #csuite,#digitalhealth [757] #ehealth,#finserv [757] #cx,#ehealth [756] #web3,#cx [756] #digitalhealth,#web3 [755] #finserv,#cloud Top Word Pairs in Tweet in G1:
[955] #machinelearning,#iot [943] #ai,#machinelearning [788] #iot,#iiot [649] #cx,#selfdrivingcars [621] #selfdrivingcars,#smartcity [580] #smartcity,#autonomousvehicles [527] #datasecurity,#infosec [487] #infosec,#100daysofcode [482] #cryptonews,#smartcities [456] #autonomousvehicles,#datascience Top Word Pairs in Tweet in G2:
[55] क,ल [49] ल,क [43] andhrapradeshcm,cdma_municipal [41] vizag_smartcity,coc_gvmc [40] श,र [39] cdma_municipal,vizag_smartcity [33] diprjk,infjammu [32] क,क [30] gvmc_visakha,andhrapradeshcm [28] smartcities_hua,hardeepspuri Top Word Pairs in Tweet in G3:
[618] #datascientist,#csuite [616] #ehealth,#finserv [616] #csuite,#digitalhealth [616] #cx,#ehealth [615] #digitalhealth,#web3 [615] #web3,#cx [614] #finserv,#cloud [612] #healthtech,#datascientist [609] #cloud,#insurtech [325] chidambara09,#healthtech Top Word Pairs in Tweet in G4:
[44] fully,#selfdriving [44] brad,templeton [44] #automation,#smartcity [44] #selfdriving,cars [44] cars,innovator [44] quite,few [44] deployment,fully [44] state,technology [44] read,#automation [44] current,state Top Word Pairs in Tweet in G5:
[26] ii,#congresoreci [18] és,més [16] #congresoreci,#smartcity [14] bones,pràctiques [14] perefuset,#valència [13] seues,bones [11] #smartcity,redreci [11] smart,city [10] referent,#smartcity [10] exposant,ii Top Word Pairs in Tweet in G6:
[43] world,economic [43] economic,forum [28] forum,#smartcities [26] #ai,#iot [24] chinese,police [24] #artificialintelligence,#internetofthings [24] criminals,wef [24] using,smart [24] wef,#ai [24] spot,criminals Top Word Pairs in Tweet in G7:
[124] મસ,રક [124] ક,ણ [124] સ,ખબરન [124] ક,ય [124] ન,ભટક [124] ખબરન,ક [124] સ,થ [124] આત,મસ [124] થ,ફરત [124] ર,આવ Top Word Pairs in Tweet in G8:
[22] ब,द [22] द,ब [22] फर,द [20] ब,र [19] ल,ग [16] ग,क [15] extension,road [15] course,extension [15] golf,course [15] har,jagha Top Word Pairs in Tweet in G9:
[15] noida_authority,ceonoida [10] infodeptup,myogiadityanath [10] ceonoida,infodeptup [10] myogiadityanath,satishmahanaup [10] satishmahanaup,mohua_india [10] mohua_india,pmoindia [9] pmoindia,upgovt [9] yadav100nu,nisharai_ggc [8] nisharai_ggc,noida_authority [8] ceonoida,rituias2003 Top Word Pairs in Tweet in G10:
[40] stay,hell [40] high,tax [40] tax,year [40] long,need [40] pmcpune,long [40] hell,paying [40] need,stay [40] paying,high [39] sumangu30081688,pmcpune [36] #pmc,getting 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 G6:
Top Replied-To in G8:
Top Replied-To in G9:
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: