The graph represents a network of 4,518 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, 29 May 2020 at 00:37 UTC.
The requested start date was Friday, 29 May 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, 19-hour, 52-minute period from Monday, 25 May 2020 at 09:52 UTC to Thursday, 28 May 2020 at 05:44 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 : 4518
Unique Edges : 4967
Edges With Duplicates : 8864
Total Edges : 13831
Number of Edge Types : 5
Mentions : 3383
Retweet : 3212
MentionsInRetweet : 5802
Tweet : 1157
Replies to : 277
Self-Loops : 1244
Reciprocated Vertex Pair Ratio : 0.0376524185984189
Reciprocated Edge Ratio : 0.0725723140495868
Connected Components : 680
Single-Vertex Connected Components : 299
Maximum Vertices in a Connected Component : 2595
Maximum Edges in a Connected Component : 10610
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 5.711393
Graph Density : 0.000379462642873026
Modularity : 0.490997
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 4,518 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, 29 May 2020 at 00:37 UTC.
The requested start date was Friday, 29 May 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, 19-hour, 52-minute period from Monday, 25 May 2020 at 09:52 UTC to Thursday, 28 May 2020 at 05:44 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:
[369] smart,cities [159] #iot,#iiot [156] smart,city [155] #iiot,#iotpl [155] cities,#smartcities [155] #iotpl,#intrernetofthings [155] covid,19 [155] #tech,#technology [155] ready,smart [149] #iot,#smartcities Top Word Pairs in Tweet in G3:
[106] webinar,ia [53] ia,aplicada [48] aplicada,ciudades [43] ciudades,inteligentes [34] inteligentes,próximo [29] próximo,25 [28] 25,mayo [23] mayo,comisión [20] comisión,europea [19] europea,celebrará Top Word Pairs in Tweet in G4:
[48] mohua_india,smartcities_hua [48] easeofliving19,mohfw_india [48] mohfw_india,mohua_india [48] smartcities_hua,#lucknowfightscorona [48] ग,त [48] क,ई [48] belagavi_infra,iamabhaypatil [48] lkosmartcity,#staysafe [48] #staysafe,#stayalert [48] #stayalert,easeofliving19 Top Word Pairs in Tweet in G5:
[88] #ai,#iot [77] #selfdrivingcars,#ai [77] #iot,#5g [76] #driverless,#driverlesscars [29] #driverlesscars,#startups [28] #startups,#smartcity [22] #5g,#autonomousvehicles [21] #smartcity,#startup [21] #startup,#robot [21] #robot,#transport Top Word Pairs in Tweet in G6:
[52] smart,city [48] join,upcoming [43] upcoming,webinar [41] webinar,replication [41] replication,practice [41] practice,fellow [40] fellow,cities [40] cities,smartencity [39] smartencity,citiessharing [36] deep,dive Top Word Pairs in Tweet in G7:
[15] #pandorabox,reliable [12] reliable,accessible [12] accessible,capital [12] capital,investment [12] investment,emerging [12] emerging,cities [12] cities,helping [12] helping,african [12] african,startups [12] startups,funded Top Word Pairs in Tweet in G8:
[29] #justdijon,connect [29] connect,#ondijon [29] #ondijon,poste [29] poste,pilotage [29] pilotage,connecté [29] connecté,#dijon [29] #dijon,métropole [29] métropole,démontre [29] démontre,sa [29] sa,résilience Top Word Pairs in Tweet in G9:
[10] cities,around [10] around,world [10] world,making [10] making,move [10] move,towards [10] towards,#smart [10] #smart,vision [10] vision,actual [10] actual,#economic [10] #economic,benefits Top Word Pairs in Tweet in G10:
[21] solutions,#smartcity [21] create,clever [21] #controlroom,workplaces [21] #intelliscreen,#askus [21] #askus,solutions [21] clever,police [21] police,#controlroom [21] workplaces,smart [21] #smartcity,digital [21] #cybersecurity,#airport Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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