The graph represents a network of 4,954 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, 24 September 2021 at 00:38 UTC.
The requested start date was Friday, 24 September 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 4-day, 4-hour, 33-minute period from Saturday, 18 September 2021 at 22:24 UTC to Thursday, 23 September 2021 at 02:57 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 : 4954
Unique Edges : 5976
Edges With Duplicates : 13382
Total Edges : 19358
Number of Edge Types : 5
Retweet : 4901
MentionsInRetweet : 7646
Tweet : 1273
Replies to : 351
Mentions : 5187
Self-Loops : 1396
Reciprocated Vertex Pair Ratio : 0.0306462358427715
Reciprocated Edge Ratio : 0.059469941822883
Connected Components : 649
Single-Vertex Connected Components : 318
Maximum Vertices in a Connected Component : 3272
Maximum Edges in a Connected Component : 16655
Maximum Geodesic Distance (Diameter) : 17
Average Geodesic Distance : 5.305186
Graph Density : 0.00037828335648597
Modularity : 0.423826
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 4,954 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, 24 September 2021 at 00:38 UTC.
The requested start date was Friday, 24 September 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 4-day, 4-hour, 33-minute period from Saturday, 18 September 2021 at 22:24 UTC to Thursday, 23 September 2021 at 02:57 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:
[1671] #iot,#iiot [945] #rstats,#reactjs [917] #analytics,#machinelearning [910] #machinelearning,#ai [899] #ai,#python [844] #reactjs,#iot [777] #python,#rstats [722] #iiot,#iotpl [564] #iotpl,#iotcommunity [563] #iiot,#linux Top Word Pairs in Tweet in G1:
[1610] #iot,#iiot [912] #rstats,#reactjs [883] #analytics,#machinelearning [876] #machinelearning,#ai [864] #ai,#python [812] #reactjs,#iot [744] #python,#rstats [694] #iiot,#iotpl [537] #iotpl,#iotcommunity [536] #iiot,#linux Top Word Pairs in Tweet in G2:
[28] smartcities_hua,mohua_india [27] coc_gvmc,vizag_smartcity [27] smartcities_hua,niua_india [26] gummallasrijana,andhrapradeshcm [26] parking,slots [25] vizag_smartcity,gummallasrijana [24] secretary_mohua,smartcities_hua [24] pib_india,pib_mohua [23] smart,city [23] avnylavasa,smartcities_hua Top Word Pairs in Tweet in G3:
[36] smart,city [20] pictet,smartcity [20] luxembourg,manager [18] #smartcity,#bhubaneswar [14] ଖ,ଳ [13] ହ,ଲ [13] #lahoresmartcity,#smartcity [12] #bhubaneswar,#bmc [12] smart,cities [11] #capitalsmartcity,#smartcity Top Word Pairs in Tweet in G4:
[119] smart,cities [27] #ai,#artificialintelligence [25] cities,surveilled [25] surveilled,cities [23] webinar,climate [23] climate,resilient [23] resilient,cities [23] cities,urban [23] urban,poor [23] poor,webinar Top Word Pairs in Tweet in G5:
[33] #smartcity,#manufacturinghub [31] #manufacturinghub,#makeinindia [28] #industries,#smartcity [21] #makeinindia,#industrialsmartcity [20] #makeinindia,#dmicdc [19] #dmicdc,#smartcities [15] #industrialcorridors,#makeinindia [15] #iitgnl,#greaternoida [14] #industrialsmartcity,#smartcitiesindia [13] #azadikaamritmahotsav,#industrialcorridors Top Word Pairs in Tweet in G6:
[16] #engineering,#innovation [16] #ai,#machinelearning [14] amazing,movable [14] movable,bridges [14] bridges,gigadgets_ [14] gigadgets_,#ai [14] #machinelearning,#artificialintelligence [14] #artificialintelligence,#engineering [13] singapore's,floating [13] floating,solar Top Word Pairs in Tweet in G7:
[38] #ita,tentativo [38] tentativo,finale [38] finale,farci [38] farci,rimanere [38] rimanere,senza [38] senza,compagnia [38] compagnia,bandiera [38] bandiera,alla [38] alla,mercé [38] mercé,delle Top Word Pairs in Tweet in G8:
[23] ତ,ର [22] ଦ,ଖ [21] ଖ,ଜ [19] ୟ,ତ [18] ଙ,କ [18] #ଜ,ୟ [18] ତ,ପ [18] ପ,ରକ [18] ଥ,ଲ [17] ଡ,ର Top Word Pairs in Tweet in G9:
[11] #smartcities,use [11] use,#technology [11] #technology,deliver [11] deliver,sustainability [11] sustainability,improve [11] improve,mobility [11] mobility,create [11] create,opportunity [11] opportunity,discover [10] siemensinfra,#smartcities Top Word Pairs in Tweet in G10:
[5] प,र [4] र,म [4] च,ह [3] क,र [3] व,र [3] र,क [3] य,क [3] क,क [2] आज,र [2] र,न 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: