Results 11 to 20 of about 12,881 (214)

Homophily‐adjusted social influence estimation [PDF]

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Homophily and social influence are two key concepts of social network analysis. Distinguishing between these phenomena is difficult, and approaches to disambiguate the two have been primarily limited to longitudinal data analyses. In this study, we provide sufficient conditions for valid estimation of social influence through cross‐sectional ...
Hanh T.D. Pham, Daniel K. Sewell
wiley   +3 more sources

Revisiting Graph Homophily Measures [PDF]

open access: yesCoRR
Homophily is a graph property describing the tendency of edges to connect similar nodes. There are several measures used for assessing homophily but all are known to have certain drawbacks: in particular, they cannot be reliably used for comparing datasets with varying numbers of classes and class size balance.
Mikhail Mironov, Liudmila Prokhorenkova
core   +7 more sources

What Is Missing In Homophily? Disentangling Graph Homophily For Graph Neural Networks [PDF]

open access: yesCoRR
Graph homophily refers to the phenomenon that connected nodes tend to share similar characteristics. Understanding this concept and its related metrics is crucial for designing effective Graph Neural Networks (GNNs). The most widely used homophily metrics, such as edge or node homophily, quantify such "similarity" as label consistency across the graph ...
Yilun Zheng, Sitao Luan, Lihui Chen 0001
core   +5 more sources

Borrower‐lender political homophily and loan characteristics

open access: yesJournal of Financial Research, EarlyView.
Abstract This study investigates political homophily between the top executives of borrowers and lenders. We observe a high level of political homophily between borrowers' and lenders' management teams, with a one‐standard‐deviation increase in homophily associated with an increase in spreads of approximately 126 basis points.
Abdulaziz A. Alshamrani   +2 more
wiley   +2 more sources

Homophily and infections: Static and dynamic effects [PDF]

open access: yes
We analyze the effect of homophily in the diffusion of a harmful state between two groups of agents that differ in immunization rates. Homophily has a very different impact on the steady state infection level (that is increasing in homophily when ...
Pin, Paolo   +2 more
core   +8 more sources

s-mikula/homophily: Replication code v1

open access: yes, 2022
Replication package for "Homophily in Voting Behaviour: Evidence from Preferential Voting" by Lucie Coufalová, Štěpán Mikula (stepan.mikula@econ.muni.cz), and Michal Ševčík Version/date: 2022/09 ...
Stepan Mikula
core   +1 more source

Do they get what they want or are they stuck with what they can get? Testing homophily against default selection for friendships of highly aggressive boys [PDF]

open access: yes, 2010
In this study a homophily selection hypothesis was tested against a default selection hypothesis, to answer whether preferred and realized friendships of highly aggressive boys differed.
Siegwart M. Lindenberg   +14 more
core   +2 more sources

Increasing ethnic diversity moderates longitudinal effects of individual differences on friendship homophily [PDF]

open access: yes, 2017
This study examined direct and interactive effects of social–emotional adjustment, national and ethnic identification, and school ethnic composition on friendship homophily among 214 ethnic minority and 183 ethnic majority English children, aged between ...
Brown, Rupert   +35 more
core   +1 more source

Homophily in broad research areas.

open access: yes, 2022
(A) Bars indicate homophily in each general research area. Error bars indicate bootstrapped 95% confidence intervals. (B) Scatter plot compares fraction women students versus homophily in each general research area.
Stephen V. David (7517903)   +2 more
core   +1 more source

Homophily across narrow research areas.

open access: yes, 2022
(A) Bars indicate homophily in narrow research areas with greater than 1,000 students. Error bars indicate bootstrapped 95% confidence intervals. (B) Scatter plot compares fraction women students versus homophily in each narrow research area.
Stephen V. David (7517903)   +2 more
core   +1 more source

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