The graph represents a network of 3,568 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, 23 December 2022 at 01:29 UTC.
The requested start date was Friday, 23 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, 14-hour, 40-minute period from Saturday, 17 December 2022 at 12:18 UTC to Thursday, 22 December 2022 at 02:59 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 : 3568
Unique Edges : 4288
Edges With Duplicates : 17429
Total Edges : 21717
Number of Edge Types : 5
MentionsInRetweet : 5944
Retweet : 4360
Tweet : 1053
Mentions : 9855
Replies to : 505
Self-Loops : 2151
Reciprocated Vertex Pair Ratio : 0.0377414123544155
Reciprocated Edge Ratio : 0.0727376047734053
Connected Components : 479
Single-Vertex Connected Components : 234
Maximum Vertices in a Connected Component : 2330
Maximum Edges in a Connected Component : 19687
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.342488
Graph Density : 0.000553073703769356
Modularity : 0.282508
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 3,568 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, 23 December 2022 at 01:29 UTC.
The requested start date was Friday, 23 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, 14-hour, 40-minute period from Saturday, 17 December 2022 at 12:18 UTC to Thursday, 22 December 2022 at 02:59 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:
[2183] #healthtech,#smartcity [2175] #datascientist,#csuite [2174] #smartcity,#datascientist [2173] #csuite,#digitalhealth [2165] #digitalhealth,#web3 [2157] #web3,#cx [2152] #cx,#ehealth [2150] #ehealth,#finserv [2146] #finserv,#cloud [1253] chidambara09,#healthtech Top Word Pairs in Tweet in G1:
[2180] #healthtech,#smartcity [2172] #datascientist,#csuite [2171] #smartcity,#datascientist [2170] #csuite,#digitalhealth [2162] #digitalhealth,#web3 [2154] #web3,#cx [2149] #cx,#ehealth [2147] #ehealth,#finserv [2143] #finserv,#cloud [1250] chidambara09,#healthtech Top Word Pairs in Tweet in G2:
[410] citizen,perception [409] mohua_india,smartcities_hua [388] perception,survey [269] #easeofliving2022,#mycitymypride [171] niua_india,mygovindia [164] #mycitymypride,#yemerasheharhai [153] ulb,code [148] #mycitymypride,mohua_india [146] uof_2022,mohua_india [145] survey,#easeofliving2022 Top Word Pairs in Tweet in G3:
[33] smart,city [10] #capitalsmartcity,#smartcity [9] gt,gt [8] 100,best [8] smart,cities [8] 70,countries [8] #smartcity,#lahoresmartcity [8] gt,#bebold [8] countries,gt [8] places,visit Top Word Pairs in Tweet in G4:
[39] forum,#smartcities [39] world,economic [39] economic,forum [34] #ai,#artificialintelligence [32] wef,#ai [31] smart,city [27] city,world [24] #smartcities,wef [23] #ai,#iot [22] futuristic,smart Top Word Pairs in Tweet in G5:
[110] mohua_india,smartcities_hua [105] nagarvikasup,mohua_india [95] smartcitykanpur,aksharmabharat [95] smartcities_hua,smartcitykanpur [77] aksharmabharat,chiefsecyup [57] क,नप [57] नप,र [51] nagarnigamknp,nagarvikasup [45] नगर,न [45] न,गम Top Word Pairs in Tweet in G6:
[69] 15,minuten [67] einmal,gehört [67] städte,begriff [67] agenda,städte [67] städte,bezirke [67] gehört,agenda [67] minuten,städte [67] begriff,einmal [66] george_orwell3,15 [2] #greatreset,#agenda2030 Top Word Pairs in Tweet in G7:
[14] kathua,under [13] diprkathua,#goodgovernancejk [8] public,awareness [8] department,kathua [8] social,welfare [8] welfare,department [8] awareness,camp [8] kathua,organised [8] #goodgovernancejk,social [8] organised,public Top Word Pairs in Tweet in G8:
[16] die,stadt [11] heute,berliner [11] #gemeinsamdigital,berlin [11] berliner,senat [11] strategie,#gemeinsamdigital [8] smart,city [8] die,#smartcity [7] neue,#news [7] iota_talk_,guten [7] #tanglenauten,neue Top Word Pairs in Tweet in G9:
[16] #smartcities,#smartcity [15] weekly,#smartcities [15] featured,week [15] angersagglo,koeln [15] cityofdenver,angersagglo [15] week,cityofdenver [15] #smartcities,#iot [15] #iot,#news [15] roundup,featured [15] #news,roundup Top Word Pairs in Tweet in G10:
[4] र,मक [4] न,श [4] य,त [4] य,र [4] कमध,य [4] श,कमध [4] त,द [4] त,भ [4] nashik,smart [4] त,आल Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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: