The graph represents a network of 4,940 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, 17 September 2021 at 00:40 UTC.
The requested start date was Friday, 17 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, 3-hour, 29-minute period from Saturday, 11 September 2021 at 23:00 UTC to Thursday, 16 September 2021 at 02:30 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 : 4940
Unique Edges : 5273
Edges With Duplicates : 13430
Total Edges : 18703
Number of Edge Types : 5
Retweet : 5071
MentionsInRetweet : 7554
Tweet : 1239
Replies to : 307
Mentions : 4532
Self-Loops : 1334
Reciprocated Vertex Pair Ratio : 0.0273185602063548
Reciprocated Edge Ratio : 0.0531842045195161
Connected Components : 700
Single-Vertex Connected Components : 375
Maximum Vertices in a Connected Component : 3255
Maximum Edges in a Connected Component : 15999
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.146202
Graph Density : 0.000359118082714379
Modularity : 0.413567
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 4,940 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, 17 September 2021 at 00:40 UTC.
The requested start date was Friday, 17 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, 3-hour, 29-minute period from Saturday, 11 September 2021 at 23:00 UTC to Thursday, 16 September 2021 at 02:30 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:
[1469] #iot,#iiot [893] #rstats,#reactjs [824] #analytics,#machinelearning [800] #machinelearning,#ai [787] #reactjs,#iot [761] #python,#rstats [731] #ai,#python [591] #linux,#serverless [553] #iiot,#linux [552] #iiot,#iotpl Top Word Pairs in Tweet in G1:
[1443] #iot,#iiot [887] #rstats,#reactjs [820] #analytics,#machinelearning [795] #machinelearning,#ai [783] #reactjs,#iot [757] #python,#rstats [727] #ai,#python [587] #linux,#serverless [550] #iiot,#linux [546] #iiot,#iotpl Top Word Pairs in Tweet in G2:
[83] smart,cities [67] mohua_india,smartcities_hua [46] udhdbihar,mohua_india [45] smart,city [37] smart_bhagalpur,udhdbihar [31] bmcbbsr,bda_bbsr [30] condition,roads [30] #bhubaneswar,#smartcity [29] roads,#bhubaneswar [29] #smartcity,urge Top Word Pairs in Tweet in G3:
[47] smart,city [28] smart,cities [28] ର,ଜ [21] #smartcity,#bhubaneswar [19] ମ,ର [18] honking,car [18] car,horn [18] horn,dicey [18] dicey,proposition [18] proposition,days Top Word Pairs in Tweet in G4:
[42] smart,city [22] city,handbook [22] discover,technology [22] technology,data [22] data,shaping [19] shaping,future [18] ukasean,smart [12] #siivim,2021 [12] linkub_nevers,23 [10] gt,gt Top Word Pairs in Tweet in G5:
[17] artificial,intelligence [14] smart,cities [13] #smartcities,#smartcity [11] intelligence,ai [10] #smartcity,#smartcities [8] #ai,#artificialintelligence [8] reichental,brettrocketsci [8] #arcgis,powered [8] #gis,#esri [8] #map,#location Top Word Pairs in Tweet in G6:
[17] register,#smartct [17] join,18th [12] cool,swags [11] kolleginnen,toriboeck [11] toriboeck,lisa [11] lisa,stubert [11] stubert,#odis [11] #odis,polizeiberlin [11] polizeiberlin,offenlegung [11] offenlegung,fahrraddiebstahldaten Top Word Pairs in Tweet in G7:
[81] #cybersecurity,#smartcities [81] #smartcities,#threat [81] #threat,#networksecurity [80] alfouzan_dr,#cybersecurity [2] smart,cities [2] cities,legacy [2] legacy,11 [2] 11,#smartcities [2] #smartcities,#bigdata Top Word Pairs in Tweet in G8:
[114] கள,ல [86] ଭ,ବନ [86] ବନ,ଶ [85] ଶ,ବର [84] ପ,ଣ [77] க,க [77] க,ன [77] ன,த [76] இடங,கள [42] ର,ଜଧ Top Word Pairs in Tweet in G9:
[9] #askus,solutions [8] create,clever [8] #cybersecurity,#airport [8] #airport,#futureworkspace [8] #network,#monitoring [7] tags,rejipillai [7] solutions,#smartcity [7] #intelliscreen,#askus [6] 8th,edition [6] edition,#isuw2022 Top Word Pairs in Tweet in G10:
[11] #historiccity,#futuristiccity [10] #smartcity,#hriday [10] #hriday,#amrut [10] #warangal,#telangana [9] madurirajkumar,gattu_ranjith [9] gattu_ranjith,dasyamofficial [9] dasyamofficial,mc_gwmc [9] mc_gwmc,ktrtrs [9] ktrtrs,telanganacmo [9] telanganacmo,dayakarrao2019 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 G6:
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: