The graph represents a network of 5,888 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, 25 September 2020 at 00:40 UTC.
The requested start date was Friday, 25 September 2020 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, 7-hour, 58-minute period from Monday, 21 September 2020 at 02:39 UTC to Thursday, 24 September 2020 at 10:38 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 : 5888
Unique Edges : 6831
Edges With Duplicates : 13582
Total Edges : 20413
Number of Edge Types : 5
Replies to : 394
Mentions : 4562
Retweet : 4866
MentionsInRetweet : 9053
Tweet : 1538
Self-Loops : 1674
Reciprocated Vertex Pair Ratio : 0.0352963382408456
Reciprocated Edge Ratio : 0.0681859617137648
Connected Components : 824
Single-Vertex Connected Components : 407
Maximum Vertices in a Connected Component : 3668
Maximum Edges in a Connected Component : 16717
Maximum Geodesic Distance (Diameter) : 19
Average Geodesic Distance : 5.351686
Graph Density : 0.000316478921869115
Modularity : 0.456327
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 5,888 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, 25 September 2020 at 00:40 UTC.
The requested start date was Friday, 25 September 2020 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, 7-hour, 58-minute period from Monday, 21 September 2020 at 02:39 UTC to Thursday, 24 September 2020 at 10:38 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:
[417] smart,city [371] smart,cities [226] #ai,#iot [191] #electricvehicles,#smartcities [173] future,public [144] mikequindazzi,antgrasso [142] #money,#electricvehicles [131] #iot,#smartcity [127] #iiot,#iot [119] #smartcity,#iot Top Word Pairs in Tweet in G1:
[172] future,public [144] mikequindazzi,antgrasso [134] smart,city [114] public,#transportation [114] #transportation,mt [114] mt,mashable [112] smart,cities [111] mvollmer1,future [99] #ai,#iot [93] #5g,#iot Top Word Pairs in Tweet in G2:
[105] #ai,#iot [69] #selfdrivingcars,#ai [66] #iot,#5g [65] smart,city [55] technative,#iot [51] #5g,#autonomousvehicles [48] #iot,#iiot [47] #startups,#smartcity [46] #driverlesscars,#startups [45] #smartcity,#startup Top Word Pairs in Tweet in G3:
[50] smart,city [34] smart,cities [15] #smartcity,#msps [15] #todovaaestarbien,#smartcity [14] use,cases [14] #reactivación,#sanpedrosula [14] #sanpedrosula,#todovaaestarbien [13] #smartcity,#tech [12] #smartcities,#smartcity [12] cases,#smartcity Top Word Pairs in Tweet in G4:
[100] smartcities_hua,mohua_india [74] mukeshias,amdavadamc [69] mohua_india,mukeshias [69] amdavadamc,amdapark [67] mybyk_in,smartcities_hua [60] nitinsangwan,vishalkhanama [59] amdapark,secretary_mohua [54] क,र [49] vishalkhanama,arjitsoni12 [47] arjitsoni12,mybyk_in Top Word Pairs in Tweet in G5:
[15] #smartcity,#linkingcities2020 [12] city,life [10] #smartcities,leading [10] leading,way [10] way,making [10] making,city [10] life,more [10] more,liveable [10] liveable,sustainable [10] sustainable,smart Top Word Pairs in Tweet in G6:
[10] more,500 [10] 500,participants [10] participants,sustain_cities [10] sustain_cities,look [10] look,forward [10] forward,sharing [10] sharing,#smartcity [10] #smartcity,solutions [10] solutions,citiessharing [9] 23,september Top Word Pairs in Tweet in G7:
[25] #innovation,#smartcities [25] #smartcities,#innovation [25] #autonomous,vehicles [24] building,bridge [24] intengineering,#engineering [24] #engineering,#innovation [23] bridge,smart [23] smart,#technology [23] #technology,intengineering [22] ronald_vanloon,building Top Word Pairs in Tweet in G8:
[18] #berlin,bekommt [18] bekommt,#smartcity [18] #smartcity,strategiebeirat [18] strategiebeirat,herzlichen [18] herzlichen,glückwunsch [18] glückwunsch,viel [18] viel,erfolg [18] erfolg,mehr [18] mehr,drannabecker [17] tsbberlin,#berlin Top Word Pairs in Tweet in G9:
[15] mobility,service [12] smart,networks [11] ucc,tcddublin [10] public,transport [7] ht,wswmuc [7] miss,enable [7] enable,webinar [7] webinar,smart [7] networks,thursday [7] thursday,24th Top Word Pairs in Tweet in G10:
[45] smart,cities [31] ieee,international [31] international,smart [31] cities,conference [27] ieeesmartcities,join [25] #ieeeisc2,conference [21] ieee,p2784 [21] p2784,standardization [21] standardization,process [20] 6th,ieee 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:
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Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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:
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Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
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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:
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Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
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Top Tweeters in G9:
Top Tweeters in G10: