The graph represents a network of 4,746 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, 19 June 2020 at 00:37 UTC.
The requested start date was Friday, 19 June 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 2-day, 9-hour, 27-minute period from Monday, 15 June 2020 at 20:04 UTC to Thursday, 18 June 2020 at 05:31 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 : 4746
Unique Edges : 4856
Edges With Duplicates : 9175
Total Edges : 14031
Number of Edge Types : 5
Retweet : 3483
MentionsInRetweet : 6065
Replies to : 186
Mentions : 3334
Tweet : 963
Self-Loops : 1042
Reciprocated Vertex Pair Ratio : 0.0341323606044815
Reciprocated Edge Ratio : 0.0660115898211136
Connected Components : 635
Single-Vertex Connected Components : 283
Maximum Vertices in a Connected Component : 3082
Maximum Edges in a Connected Component : 11501
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.349308
Graph Density : 0.000352490278541921
Modularity : 0.49413
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 4,746 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, 19 June 2020 at 00:37 UTC.
The requested start date was Friday, 19 June 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 2-day, 9-hour, 27-minute period from Monday, 15 June 2020 at 20:04 UTC to Thursday, 18 June 2020 at 05:31 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 G2:
[172] smart,city [125] mikequindazzi,antgrasso [114] goals,confidentiality [112] confidentiality,integrity [106] smart,cities [102] fostering,holistic [94] holistic,approach [94] security,goals [94] cyber,security [94] security,smart Top Word Pairs in Tweet in G3:
[106] mohua_india,pmoindia [98] న,న [88] hardeepspuri,mohua_india [88] review,meeting [88] meeting,bengaluru [87] bengaluru,#smartcity [87] #smartcity,advisory [87] advisory,committee [86] committee,pcmohanmp [85] pcmohanmp,bbmp_mayor Top Word Pairs in Tweet in G4:
[10] smart,city [10] smart,cities [10] ものづくりを起点に,次世代まちづくり企業へ [9] 次世代まちづくり企業へ,清水建設の豊洲スマートシティプロジェクトに迫る [9] covid,19 [9] #smartcities,#smartcity [9] gt,gt [9] 清水建設の豊洲スマートシティプロジェクトに迫る,ligare [9] #smartcities,#cybersecurity [9] learn,more Top Word Pairs in Tweet in G5:
[19] profite,dijon [15] dijon,soit [12] soit,tt [12] tt,vanter [8] vanter,mérites [7] mérites,capitale [7] capitale,bourguignonne [7] bourguignonne,dijon [5] dijon,c'est [5] c'est,aussi Top Word Pairs in Tweet in G6:
[160] decisión,convertirnos [160] convertirnos,#smartcity [160] #smartcity,acertada [160] acertada,validada [160] validada,tiempos [160] tiempos,#covid19 [160] #covid19,podemos [160] podemos,atenderles [160] acalidoniohn,decisión [160] atenderles,virtualm Top Word Pairs in Tweet in G7:
[116] arunkumar_tnie,nagabhushanb [116] hublicityegroup,#didyouknow [116] hubballi_infra,hublicityegroup [116] started,hubli [116] compiled,amruthjoshi2 [116] amruthjoshi2,arunkumar_tnie [116] nagabhushanb,amitsen_tnie [116] amitsen_tnie,pramodkv_tnie [116] pramodkv_tnie,hubballi_infra [115] hublicityegroup,hublimandi Top Word Pairs in Tweet in G8:
[28] #smartcities,#sofasummit [17] chinese,city's [17] city's,traffic [17] traffic,controlled [17] controlled,#ai [17] #ai,brain [14] brain,wef [14] wef,#smartcity [14] #smartcity,#artificialintelligence [14] #artificialintelligence,#deeplearning Top Word Pairs in Tweet in G9:
[36] francia,germania [32] zingaretti,fico [32] fico,speranza [32] speranza,speronano [32] speronano,fremm [32] fremm,fincantieri [32] fincantieri,all'egitto [32] sole,24 [32] air,france [32] france,deutsche Top Word Pairs in Tweet in G10:
[22] covid,19 [21] smart,cities [21] idées,innovantes [21] participez,relance [21] relance,bruxelloise [21] bruxelloise,covid [21] 19,faisons [20] faisons,région [20] région,bruxelloise [20] bruxelloise,#smartcity Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: