The graph represents a network of 4,860 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 July 2022 at 00:27 UTC.
The requested start date was Friday, 08 July 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, 19-hour, 42-minute period from Sunday, 03 July 2022 at 07:18 UTC to Thursday, 07 July 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 : 4860
Unique Edges : 7635
Edges With Duplicates : 18150
Total Edges : 25785
Number of Edge Types : 5
Replies to : 1067
Mentions : 9839
Retweet : 4695
MentionsInRetweet : 9220
Tweet : 964
Self-Loops : 1407
Reciprocated Vertex Pair Ratio : 0.0176065322786425
Reciprocated Edge Ratio : 0.0346038114343029
Connected Components : 559
Single-Vertex Connected Components : 268
Maximum Vertices in a Connected Component : 3299
Maximum Edges in a Connected Component : 23300
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.213784
Graph Density : 0.000506632721766151
Modularity : 0.399649
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 4,860 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 July 2022 at 00:27 UTC.
The requested start date was Friday, 08 July 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, 19-hour, 42-minute period from Sunday, 03 July 2022 at 07:18 UTC to Thursday, 07 July 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:
[1293] #iot,#iiot [1087] #digitalhealth,#cx [1087] #cx,#women [1082] #datascientist,#mwc22 [1066] #women,#ehealth [1062] #healthtech,#datascientist [1033] #ehealth,#finserv [1025] #digital,#digitalhealth [1023] #mwc22,#digital [990] #finserv,#bigdata Top Word Pairs in Tweet in G1:
[1282] #iot,#iiot [1087] #digitalhealth,#cx [1087] #cx,#women [1082] #datascientist,#mwc22 [1066] #women,#ehealth [1062] #healthtech,#datascientist [1033] #ehealth,#finserv [1025] #digital,#digitalhealth [1023] #mwc22,#digital [990] #finserv,#bigdata Top Word Pairs in Tweet in G2:
[764] andhrapradeshcm,cdma_municipal [626] coc_gvmc,vizag_smartcity [616] swachhbharatgov,swachsurvekshan [531] gvmc_visakha,coc_gvmc [519] swachsurvekshan,swachhbharat [322] swachhbharat,andhrapradeshcm [319] gvmc_visakha,mohua_india [293] vizag_smartcity,rppatnaik [293] rppatnaik,andhrapradeshcm [214] support,vizag Top Word Pairs in Tweet in G3:
[117] smart,cities [36] smart,city [29] open,data [24] development,smart [23] artificial,intelligence [22] webinar,integration [22] integration,open [22] data,artificial [19] intelligence,development [19] cities,africa Top Word Pairs in Tweet in G4:
[47] smart,city [42] #smartcityajmer,#smartcityajmer [23] smart,cities [10] learn,more [9] capital,smart [8] प,र [7] स,गर [7] toronto,kill [7] make,sure [7] lahore,smart Top Word Pairs in Tweet in G5:
[81] म,र [57] न,र [46] स,म [46] र,ट [44] ट,स [43] स,ट [41] द,न [38] न,क [37] क,ह [36] द,हर Top Word Pairs in Tweet in G6:
[63] smart,work [63] work,#smartcity [63] #smartcity,officials [63] officials,hdsmartcity [63] hdsmartcity,please [63] please,instruct [63] instruct,engineers [63] engineers,quality [63] quality,control [63] control,team Top Word Pairs in Tweet in G7:
[10] ban,single [10] single,use [10] use,plastic [10] plastic,sup [10] sup,easy [10] easy,availability [10] availability,cloth [10] cloth,bags [10] bags,capacity [10] capacity,create Top Word Pairs in Tweet in G8:
[11] #connectedcar,mercato [11] mercato,italia [11] italia,vale [11] vale,miliardi [11] miliardi,anno [11] anno,secondo [11] secondo,osserv_digital [11] osserv_digital,repubblicaaf [11] repubblicaaf,rep_economia [10] gdt62,#connectedcar Top Word Pairs in Tweet in G9:
[99] gvmc_visakha,3mw [99] 3mw,floating [99] floating,solar [99] solar,plant [99] plant,established [99] established,gvmc [99] gvmc,meghadrigedda [99] meghadrigedda,reservoir [99] reservoir,visakhapatnam [99] visakhapatnam,#solarenergy Top Word Pairs in Tweet in G10:
[9] public,event [8] august,findet [8] findet,kostenloser [8] kostenloser,#hackathon [8] #hackathon,institut [8] institut,geoinformatik [8] geoinformatik,wwu_muenster [8] wwu_muenster,statt [8] statt,motto [7] smart,city 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 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: