The graph represents a network of 4,381 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, 16 December 2022 at 01:28 UTC.
The requested start date was Friday, 16 December 2022 at 01:01 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, 17-hour, 0-minute period from Saturday, 10 December 2022 at 09:52 UTC to Thursday, 15 December 2022 at 02:52 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 : 4381
Unique Edges : 4941
Edges With Duplicates : 15031
Total Edges : 19972
Number of Edge Types : 5
Mentions : 8110
Retweet : 4365
MentionsInRetweet : 5735
Tweet : 1176
Replies to : 586
Self-Loops : 2275
Reciprocated Vertex Pair Ratio : 0.0368663594470046
Reciprocated Edge Ratio : 0.0711111111111111
Connected Components : 585
Single-Vertex Connected Components : 286
Maximum Vertices in a Connected Component : 2466
Maximum Edges in a Connected Component : 15648
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.75936
Graph Density : 0.000410396075206449
Modularity : 0.359654
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 4,381 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, 16 December 2022 at 01:28 UTC.
The requested start date was Friday, 16 December 2022 at 01:01 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, 17-hour, 0-minute period from Saturday, 10 December 2022 at 09:52 UTC to Thursday, 15 December 2022 at 02:52 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:
[2080] #healthtech,#smartcity [2077] #web3,#cx [2077] #csuite,#digitalhealth [2077] #smartcity,#datascientist [2076] #datascientist,#csuite [2076] #digitalhealth,#web3 [2064] #cx,#ehealth [2059] #ehealth,#finserv [2039] #finserv,#cloud [1218] chidambara09,#healthtech Top Word Pairs in Tweet in G1:
[2065] #healthtech,#smartcity [2062] #csuite,#digitalhealth [2062] #smartcity,#datascientist [2062] #web3,#cx [2061] #digitalhealth,#web3 [2061] #datascientist,#csuite [2049] #cx,#ehealth [2044] #ehealth,#finserv [2024] #finserv,#cloud [1203] chidambara09,#healthtech Top Word Pairs in Tweet in G2:
[190] mohua_india,smartcities_hua [90] perception,survey [89] citizen,perception [83] ल,क [80] nagarvikasup,mohua_india [78] smartcities_hua,smartcitykanpur [77] क,ल [76] uof_2022,mohua_india [76] ulb,code [76] smartcitykanpur,aksharmabharat Top Word Pairs in Tweet in G3:
[31] smart,city [25] solid,waste [24] beverage,packaging [24] data,prevented [24] packaging,accounts [24] #ai,power [24] business,review [24] 48,urban [24] review,shared [24] disposable,packaging Top Word Pairs in Tweet in G4:
[152] smartcity_gm,lfdoorconcept [142] jallowmarketing,smartcity_gm [111] lfdoorconcept,caf_online [60] follow,jallowmarketing [46] smartcity_gm,follow [46] jallowmarketing,follow [46] follow,smartcity_gm [45] giveaway,african [45] 20,giveaway [45] congratulations,morocco Top Word Pairs in Tweet in G5:
[118] google,maps [118] lado,mal [118] rutas,erróneas [118] maps,#googlemaps [118] erróneas,peligrosas [118] cómo,corregir [118] peligrosas,google [118] corregir,rutas [118] mal,cómo [117] #googlemaps,google Top Word Pairs in Tweet in G6:
[14] #smartcities,#smartcity [12] #localgov,daunting [12] recommend,reading [12] data,sharing [12] daunting,undertaking [12] story,really [12] excited,announce [12] carlsbadcagov's,story [12] undertaking,recommend [12] sharing,#localgov Top Word Pairs in Tweet in G7:
[26] क,न [23] सरक,र [17] mlkhattar,सरक [17] र,श [14] न,गर [14] गर,क [12] ख,द [12] क,म [12] म,र [10] र,क Top Word Pairs in Tweet in G8:
[36] #missionlife,become [36] join,#missionlife [36] let's,join [31] become,#proplanetpeople [25] #missionlife,use [23] #proplanetpeople,diprjk [22] possible,let's [22] diprjk,infjammu [19] public,transport [18] use,public Top Word Pairs in Tweet in G9:
[86] nächsten,jahren [86] gegessen,nächsten [86] käse,gegessen [86] denkt,käse [86] jahren,einschränkungen [86] einschränkungen,geben [86] geben,internationalen [85] aufdecker,denkt Top Word Pairs in Tweet in G10:
[27] world,economic [27] economic,forum [21] forum,#smartcities [18] feet,living [18] foldable,house [18] flatbed,truck [18] house,700 [18] transported,regular [18] ubox,foldable [18] living,space 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 G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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: