Estimating ideology and polarization in European countries using Facebook data [0.03%]
利用Facebook数据估算欧洲各国的思想倾向及分化程度
Francisco Caravaca,José González-Cabañas,Ángel Cuevas et al.
Francisco Caravaca et al.
Researchers have studied political ideology and polarization in many different contexts since their effects are usually closely related to aspects and actions of individuals and societies. Hence, being able to estimate and measure the chang...
Enhancing short-term crime prediction with human mobility flows and deep learning architectures [0.03%]
利用人群流动性和深度学习架构提升短期犯罪预测能力
Jiahui Wu,Saad Mohammad Abrar,Naman Awasthi et al.
Jiahui Wu et al.
Place-based short-term crime prediction models leverage the spatio-temporal patterns of historical crimes to predict aggregate volumes of crime incidents at specific locations over time. Under the umbrella of the crime opportunity theory, t...
Yuzi He,Keith A Burghardt,Kristina Lerman
Yuzi He
Change point detection has many practical applications, from anomaly detection in data to scene changes in robotics; however, finding changes in high dimensional data is an ongoing challenge. We describe a self-training model-agnostic frame...
News sharing on Twitter reveals emergent fragmentation of media agenda and persistent polarization [0.03%]
新闻分享网站上的Twitter新闻分享反映出媒体议题的分化与观点的持续对立
Tomas Cicchini,Sofia Morena Del Pozo,Enzo Tagliazucchi et al.
Tomas Cicchini et al.
News sharing on social networks reveals how information disseminates among users. This process, constrained by user preferences and social ties, plays a key role in the formation of public opinion. In this work, we used bipartite news-user ...
Rhythm of the streets: a street classification framework based on street activity patterns [0.03%]
基于街道活动模式的街道分类框架：以街巷活力节律表征与分类为例
Tianyu Su,Maoran Sun,Zhuangyuan Fan et al.
Tianyu Su et al.
As the living tissue connecting urban places, streets play significant roles in driving city development, providing essential access, and promoting human interactions. Understanding street activities and how these activities vary across dif...
Felix J Hoffmann,Fabian Braesemann,Timm Teubner
Felix J Hoffmann
Sustainability in tourism is a topic of global relevance, finding multiple mentions in the United Nations Sustainable Development Goals. The complex task of balancing tourism's economic, environmental, and social effects requires detailed a...
Ariel Salgado,Ziyun Yuan,Inés Caridi et al.
Ariel Salgado et al.
This work presents a portable framework to estimate potential park demand and park exposure through bipartite weighted networks. We use mobility information and open spatial information. Mobility information comes in the form of daily activ...
A global-scale analysis of the sharing economy model - an AirBnB case study [0.03%]
共享经济模式的全球性分析——以Airbnb为例
Giovanni Quattrone,Natalia Kusek,Licia Capra
Giovanni Quattrone
The sharing economy model has changed the way in which people engage in a variety of activities, including travelling, trading, working, and lending/borrowing money. Several studies exist that aim to understand, quantify and model such phen...
Dynamics of the social construction of knowledge: an empirical study of Zhihu in China [0.03%]
基于知乎的实证研究：知识的社会建构及其动态演变机制
Lun Zhang,Yong-Ning Li,Tai-Quan Peng et al.
Lun Zhang et al.
This study examined how the knowledge market promotes knowledge construction on question-and-answer (Q&A) websites. Data were collected from Zhihu, one of the largest Q&A sites in China. Hierarchical linear modeling was employed to estimate...
Time-varying graph representation learning via higher-order skip-gram with negative sampling [0.03%]
基于高阶跳字的时变图表示学习
Simone Piaggesi,André Panisson
Simone Piaggesi
Representation learning models for graphs are a successful family of techniques that project nodes into feature spaces that can be exploited by other machine learning algorithms. Since many real-world networks are inherently dynamic, with i...