The graph represents a network of 961 Twitter users whose tweets in the requested range contained "#FinServ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 06 February 2022 at 02:39 UTC.
The requested start date was Sunday, 06 February 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 2-day, 6-hour, 23-minute period from Wednesday, 02 February 2022 at 03:52 UTC to Friday, 04 February 2022 at 10:15 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 : 961
Unique Edges : 1656
Edges With Duplicates : 18398
Total Edges : 20054
Number of Edge Types : 5
Retweet : 6750
MentionsInRetweet : 9560
Mentions : 3531
Replies to : 128
Tweet : 85
Self-Loops : 687
Reciprocated Vertex Pair Ratio : 0.0381008206330598
Reciprocated Edge Ratio : 0.0734048560135517
Connected Components : 30
Single-Vertex Connected Components : 14
Maximum Vertices in a Connected Component : 903
Maximum Edges in a Connected Component : 19966
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.284841
Graph Density : 0.00383931668400971
Modularity : 0.138017
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 961 Twitter users whose tweets in the requested range contained "#FinServ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 06 February 2022 at 02:39 UTC.
The requested start date was Sunday, 06 February 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 2-day, 6-hour, 23-minute period from Wednesday, 02 February 2022 at 03:52 UTC to Friday, 04 February 2022 at 10:15 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 : #FinServ
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:
[3168] #cx,#women [3168] #women,#ehealth [3165] #ces2023,#finserv [3165] #finserv,#fashiontech [3146] #ehealth,#data [3146] #data,#ces2023 [3122] #fashiontech,#insurtech [3054] #digital,#cx [3009] #datascientist,#digital [2834] #iot,#iiot Top Word Pairs in Tweet in G1:
[219] #ces2023,#finserv [218] #cx,#women [218] #women,#ehealth [218] #finserv,#fashiontech [217] #ehealth,#data [217] #data,#ces2023 [214] chidambara09,#datascientist [214] #fashiontech,#insurtech [213] #insurtech,#big [208] #digital,#cx Top Word Pairs in Tweet in G2:
[57] #finserv,#marketing [57] #finserv,#fashiontech [56] #cx,#women [56] #women,#ehealth [56] #ehealth,#data [56] #data,#ces2023 [56] #ces2023,#finserv [56] #fashiontech,#insurtech [56] #insurtech,#big [55] chidambara09,#datascientist Top Word Pairs in Tweet in G3:
[2806] #iot,#iiot [2417] #javascript,#reactjs [2143] #reactjs,#wordpress [1940] #ai,#iot [1893] #pytorch,#javascript [1868] #wordpress,#security [1817] #python,#ai [1553] #security,#defi [1335] #iiot,#pytorch [1250] #cx,#women Top Word Pairs in Tweet in G4:
[1406] #cx,#women [1406] #women,#ehealth [1404] #ces2023,#finserv [1404] #finserv,#fashiontech [1398] #fashiontech,#insurtech [1396] #ehealth,#data [1396] #data,#ces2023 [1354] #digital,#cx [1339] #datascientist,#digital [714] #bigdata,#100daysofcode Top Word Pairs in Tweet in G5:
[85] chidambara09,#datascientist [85] #digital,#cx [85] #cx,#women [85] #women,#ehealth [85] #ehealth,#data [85] #data,#ces2023 [85] #ces2023,#finserv [85] #finserv,#fashiontech [84] #datascientist,#digital [84] #fashiontech,#insurtech Top Word Pairs in Tweet in G6:
[153] #cx,#women [153] #women,#ehealth [153] #ces2023,#finserv [153] #finserv,#fashiontech [152] #ehealth,#data [152] #data,#ces2023 [151] chidambara09,#datascientist [150] #fashiontech,#insurtech [147] #insurtech,#big [146] #digital,#cx Top Word Pairs in Tweet in G7:
[4] #fintech,#finserv [2] financial,services [2] blue,sky [2] citizen,developer [2] developer,programs [2] programs,put [2] put,innovation [2] innovation,hands [2] hands,employees [2] employees,business Top Word Pairs in Tweet in G8:
[12] gordon,banking [12] banking,stealthsend [12] stealthsend,mobile [12] mobile,wallet [12] wallet,#birmingham [12] #birmingham,#uk [12] #uk,xst [12] xst,#stealth [12] #stealth,#stealthwallet [12] #stealthwallet,#stealthapp Top Word Pairs in Tweet in G9:
[7] recent,study [7] study,found [7] found,#financialservices [7] #financialservices,firms [7] firms,clear [7] clear,plans [7] plans,address [7] address,#privacy [7] #privacy,risks [7] risks,experts Top Word Pairs in Tweet in G10:
[3] audiences,#fintech [3] #fintech,nodexl [3] nodexl,#seohashtag [3] #seohashtag,fintechna [3] fintechna,stedas [3] stedas,spirosmargaris [3] spirosmargaris,fabriciosx [2] hashtagmarketi7,audiences Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
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 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: