The graph represents a network of 4,701 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, 02 September 2022 at 00:25 UTC.
The requested start date was Friday, 02 September 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 5-day, 2-hour, 22-minute period from Saturday, 27 August 2022 at 00:38 UTC to Thursday, 01 September 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 : 4701
Unique Edges : 5637
Edges With Duplicates : 14538
Total Edges : 20175
Number of Edge Types : 5
Tweet : 1117
Retweet : 4808
MentionsInRetweet : 7262
Mentions : 6451
Replies to : 537
Self-Loops : 1675
Reciprocated Vertex Pair Ratio : 0.0248625114573786
Reciprocated Edge Ratio : 0.0485187255449972
Connected Components : 617
Single-Vertex Connected Components : 317
Maximum Vertices in a Connected Component : 3149
Maximum Edges in a Connected Component : 17742
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.634448
Graph Density : 0.000404848221519188
Modularity : 0.399725
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 4,701 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, 02 September 2022 at 00:25 UTC.
The requested start date was Friday, 02 September 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 5-day, 2-hour, 22-minute period from Saturday, 27 August 2022 at 00:38 UTC to Thursday, 01 September 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:
[1477] #iot,#iiot [1205] #csuite,#digitalhealth [1200] #healthtech,#datascientist [1200] #datascientist,#csuite [1192] #cx,#ehealth [1192] #ehealth,#finserv [1191] #ai,#iot [1187] #finserv,#cloud [1185] #cloud,#insurtech [1178] #digitalhealth,#web3 Top Word Pairs in Tweet in G1:
[1381] #iot,#iiot [1202] #csuite,#digitalhealth [1197] #healthtech,#datascientist [1197] #datascientist,#csuite [1189] #cx,#ehealth [1189] #ehealth,#finserv [1184] #finserv,#cloud [1182] #cloud,#insurtech [1175] #digitalhealth,#web3 [1174] #web3,#cx Top Word Pairs in Tweet in G2:
[60] म,र [53] र,क [52] क,र [50] स,ट [50] र,ट [49] smartcities_hua,mohua_india [47] hardeepspuri,ji [46] smart,city [46] स,म [46] प,र Top Word Pairs in Tweet in G3:
[55] smart,city [43] key,factors [43] factors,#smartcity [43] #smartcity,agility [43] agility,reliability [43] reliability,highly [43] highly,available [43] available,networks [43] networks,hear [43] hear,city Top Word Pairs in Tweet in G4:
[69] smart,cities [35] smart,city [17] #smartcities,#futurecities [15] #smartcities,#smartcity [14] salemcorpn,smartcities_hua [14] smartcities_hua,cmotamilnadu [14] cmotamilnadu,kn_nehru [14] kn_nehru,evvelu [13] bus,port [11] special,issue Top Word Pairs in Tweet in G5:
[14] ngpnmc,nmccommissioner [13] part,incomplete [13] incomplete,work [13] work,london [13] london,street [8] great,bouncing [8] bouncing,road [8] road,#nagpur [8] #nagpur,ngpnmc [8] nmccommissioner,mahapwdofficial Top Word Pairs in Tweet in G6:
[119] innovation,summit [117] excited,back [117] back,#dubai [117] #dubai,honored [117] oct,19 [117] 19,20 [117] future,innovation [117] summit,summit [116] honored,speaking [116] speaking,oct Top Word Pairs in Tweet in G7:
[99] gvmc_visakha,andhrapradeshcm [92] andhrapradeshcm,vizag_smartcity [92] vizag_smartcity,vizaggoap [92] vizaggoap,vizagcollector [92] vizagcollector,vizagcitypolice [92] vizagcitypolice,pibvijayawada [75] pibvijayawada,swachhbharatgov [73] swachhbharatgov,swachsurvekshan [73] swachsurvekshan,cdma_municipal [16] cdma_municipal,support Top Word Pairs in Tweet in G8:
[29] diprjk,infjammu [18] infjammu,officeoflgjandk [13] chenab,river [13] river,#akhnoor [13] #akhnoor,river [13] river,banks [13] banks,temples [13] temples,fort [13] fort,gurudwara [13] gurudwara,name Top Word Pairs in Tweet in G9:
[12] guten,morgen [12] morgen,#tanglenauten [12] #tanglenauten,neue [12] neue,woche [12] woche,neue [12] neue,#news [12] #news,wünschen [12] wünschen,viel [12] viel,spaß [12] spaß,neuen Top Word Pairs in Tweet in G10:
[86] #ai,#iot [86] #iot,#iiot [86] #iiot,#cx [86] #cx,#ml [86] #ml,#selfdrivingcars [86] #selfdrivingcars,#fashiontech [85] quick,reference [85] reference,data [85] data,visualization [85] visualization,#ai Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
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: