Network Science

What recent physics education papers show about friendship, exploration, self-selection, and collaboration in classrooms.

A note on studying classroom social integration through cooperation, reciprocity, and network measures.

Applied AI project, internally known as scoring-fraude, on explainable fraud-risk scoring using transaction-network signals, anomaly detection, and decision-support workflows for financial risk teams.

Public procurement plays a crucial role in modern economies, serving not only as a mechanism to acquire public goods, services, and …

ANID-FONDECYT Regular 2026 project on why retracted research continues to be cited and influence scientific knowledge.

A research note on collective memory decay in science and why formal correction does not always erase invalidated knowledge from citation networks.

UDD Government covered a CRiSS-LAB related study using experimental game theory and network analysis to understand social integration and reciprocity in elementary classrooms.

Education systems are webs of interconnected students, teachers, programs, institutions, and decisions. This chapter argues that a …

A short essay on why education systems should be studied as networks of students, teachers, programs, and institutions.

This chapter introduces computational social science as a data-driven framework for studying how collective memory forms, persists, and …

UDD Engineering covered Cristian Candia’s participation at IC2S2 2025, where CRiSS-LAB presented work on computational social science, AI, design capabilities, political ideology, collective memory, and public procurement networks.

Course on complex networks, graph analytics, null models, communities, diffusion, and graph machine learning.

Group configurations shape social skills and learning outcomes. This study compares random allocation with student self-selection in …

Public procurement markets are highly structured networks. Using over one million Portuguese public procurement contracts, this article …

Abstract: [ENG] Vast amounts of data are becoming increasingly available to capture social processes at large scale and in great detail. Meanwhile, the rapid development of AI and computational approaches offers powerful toolkits for analyzing various data.

Internal factors-such as psychological traits or individual attitudes-relate to and explain political cleavages. Yet, little is known …

School coexistence startup that uses experimental game theory, network science, and AI to help schools prevent conflict, promote good coexistence, and comply with Chile’s Ley N° 21.809.

Social learning, the ability to perceive, interpret, and assess the behavior of one’s peers, is crucial for forming meaningful …

Despite increased global attention on violence against women, understanding the factors that lead to women becoming victims remains a …

The labor market has transformed with the advent of the gig economy, characterized by short-term and fexible work arrangements …

Public output of a collective memory and cultural analytics project, connecting Chilean music, attention, networks, repertoires, and AI-assisted exploration.

A note on MúsicaCL as a public output of collective memory and cultural analytics research on Chilean music, attention, scenes, and repertoires.

In the recent decade, we have seen major progress in quantifying the behaviors and the impact of scientists, resulting in a …

Abstract: [ENG] The unprecedented growth in social media use and large-scale information collection pose new threats, but also offer new opportunities. Modeling and managing complex interactive systems requires the analysis of social and technological signals to gain new insights into human society and individual behavior.

Abstract: [ENG] We discuss two projects that quantify the consequences of our network location for our access to resources and rewards in science. First, we investigate the dynamics of international science through the lens of national citation preferences, introducing a novel measure to characterize these processes and enabling a network analysis of global knowledge production.

La Convergencia de las Ciencias Físicas y Sociales: Una Entrevista con el Dr. Cristian Candia En una entrevista reciente, Carla Hermann, Ph.D., la anfitriona del programa Let’s Get Physical, se sentó con el Dr.

SocialRec explored how social networks, campus traces, machine learning, and privacy-preserving workflows can personalize higher education support.

Social relationships are pivotal for human beings. Yet, we still lack a complete understanding of the types and conditions of social …

Funded by CINS-DATA Spa. 2022.

Funded by Universidad del Desarrollo. 2022-2023.