The graph represents a network of 1,426 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, 18 September 2022 at 01:48 UTC.
The requested start date was Sunday, 18 September 2022 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 4-day, 6-hour, 0-minute period from Tuesday, 13 September 2022 at 00:59 UTC to Saturday, 17 September 2022 at 07:00 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 : 1426
Unique Edges : 2537
Edges With Duplicates : 17989
Total Edges : 20526
Number of Edge Types : 5
MentionsInRetweet : 10675
Retweet : 6415
Mentions : 2621
Replies to : 161
Tweet : 654
Self-Loops : 972
Reciprocated Vertex Pair Ratio : 0.0443024024685916
Reciprocated Edge Ratio : 0.0848459265512875
Connected Components : 84
Single-Vertex Connected Components : 51
Maximum Vertices in a Connected Component : 1271
Maximum Edges in a Connected Component : 20254
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.318881
Graph Density : 0.00233163554046406
Modularity : 0.185227
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 1,426 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, 18 September 2022 at 01:48 UTC.
The requested start date was Sunday, 18 September 2022 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 4-day, 6-hour, 0-minute period from Tuesday, 13 September 2022 at 00:59 UTC to Saturday, 17 September 2022 at 07:00 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:
[3174] #iot,#iiot [2640] #python,#iot [2513] #javascript,#reactjs [2393] #iiot,#pytorch [2046] #reactjs,#wordpress [1839] #wordpress,#security [1619] #security,#defi [1083] #pytorch,#javascript [864] #defi,#ad [845] #ai,#iot Top Word Pairs in Tweet in G1:
[510] #fintech,#finserv [221] #finserv,#insurtech [153] enricomolinari,#marketing [147] enricomolinari,#fintech [138] #marketing,#fintech [106] #datascience,#analytics [101] finshots,enricomolinari [101] #insurtech,#marketing [100] #payments,finshots [96] #digital,#python Top Word Pairs in Tweet in G2:
[2924] #iot,#iiot [2586] #python,#iot [2451] #javascript,#reactjs [2339] #iiot,#pytorch [1999] #reactjs,#wordpress [1797] #wordpress,#security [1582] #security,#defi [1051] #pytorch,#javascript [842] #defi,#ad [718] #fintech,#insurtech Top Word Pairs in Tweet in G3:
[120] #business,#investing [120] #investing,#digital [120] #digital,#technology [114] #aiethics,#machinelearning [96] bhubaneshwar,#business [90] #machinelearning,#python [80] #web3,#technology [69] #technology,#innovation [65] #python,#deeplearning [59] #fintech,#finserv Top Word Pairs in Tweet in G4:
[410] #ehealth,#finserv [409] #finserv,#cloud [403] #healthtech,#datascientist [401] #datascientist,#csuite [401] #csuite,#digitalhealth [401] #digitalhealth,#web3 [401] #web3,#cx [401] #cx,#ehealth [401] #cloud,#insurtech [220] chidambara09,#healthtech Top Word Pairs in Tweet in G5:
[28] intelligent,operations [28] operations,defined [28] defined,homogeneous [28] homogeneous,approach [28] approach,digital [28] digital,technologies [28] technologies,processes [28] processes,re [28] re,engineered [28] engineered,digital Top Word Pairs in Tweet in G6:
[4] #fintech,#finserv [4] financial,services [3] #financialservices,#finserv [3] #finserv,#fintech [3] #fintech,flying [3] flying,gate [3] gate,visit [3] visit,#datascience [3] #datascience,#analytics [3] #analytics,#tech Top Word Pairs in Tweet in G7:
[15] #fintech,#finserv [13] #tech,#fintech [12] #finserv,#ai [12] #ai,#insurtech [12] insurtechforum,spirosmargaris [11] #insurtech,#machinelearning [10] #machinelearning,#ml [9] #ml,#insurance [8] #insurance,#cx [8] bristowcolin,insurtechforum Top Word Pairs in Tweet in G8:
[51] #fintech,#finserv [38] #finserv,#ai [37] #business,#devops [37] #devops,#fintech [26] #chaingefinance,#defi [18] #ai,#algorithms [17] 800,institutions [17] institutions,attending [17] attending,digitial [17] digitial,asset Top Word Pairs in Tweet in G9:
[5] glad,carsongroupllc [5] carsongroupllc,added [5] added,time [5] time,female [5] female,#finserv [5] #finserv,leaders [5] leaders,connect [5] connect,bonus [5] bonus,based [5] based,enneagrams Top Word Pairs in Tweet in G10:
[2] congratulations,innovationiid [2] innovationiid,institute [2] institute,members [2] members,winning [2] winning,2022 [2] 2022,wealth_mgmt [2] wealth_mgmt,#wealthies [2] #wealthies,awards [2] awards,assetmapllc 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:
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: