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We study the consumption behaviour of an asymmetric network of heterogeneous agents in the framework of discrete choice models with stochastic decision rules. We assume that the interactions among agents are uniquely specified by their…

Disordered Systems and Neural Networks · Physics 2007-05-23 Giulia Iori , Vassilis Koulovassilopoulos

Information sharing dynamics of social networks rely on a small set of influencers to effectively reach a large audience. Our recent results and observations demonstrate that the shape and identity of this elite, especially those…

Social and Information Networks · Computer Science 2015-08-28 Arthi Ramachandran , Augustin Chaintreau

Repetition in music consumption is a common phenomenon. It is notably more frequent when compared to the consumption of other media, such as books and movies. In this paper, we show that one particularly interesting repetitive behavior…

Human-Computer Interaction · Computer Science 2022-10-31 Bruno Sguerra , Viet-Anh Tran , Romain Hennequin

Social scientists have become increasingly interested in how narratives -- the stories in fiction, politics, and life -- shape beliefs, behavior, and government policies. This paper provides an unsupervised method to quantify latent…

General Economics · Economics 2022-05-02 Elliott Ash , Germain Gauthier , Philine Widmer

With social media and the according social and ubiquitous applications finding their way into everyday life, there is a rapidly growing amount of user generated content yielding explicit and implicit network structures. We consider social…

Social and Information Networks · Computer Science 2013-09-17 Folke Mitzlaff , Martin Atzmueller , Dominik Benz , Andreas Hotho , Gerd Stumme

It is known that news topics, covered more frequently and over longer periods of time, are considered to be important to the public. Hence, what gets media attention and how media attention evolves over time has been studied for decades in…

Computers and Society · Computer Science 2017-04-06 Jisun An , Haewoon Kwak

Scholarly articles are discussed and shared on social media, which generates altmetrics. On the opposite side, what is the impact of social media on the dissemination of scholarly articles and how to measure it? What are the visiting…

Digital Libraries · Computer Science 2016-08-03 Xianwen Wang , Zhichao Fang , Xinhui Guo

Consumption practices are determined by a combination of economic, social, and cultural forces. We posit that lower economic constraints leave more room to diversify consumption along cultural and social aspects in the form of omnivorous or…

General Economics · Economics 2025-06-18 Yuanmo He , Milena Tsvetkova

Consumer food waste, like many environmental behaviours, takes place in private, and is not directly subject to social monitoring. Nevertheless, social interactions can affect private opinions and behaviours. This paper builds an…

Faced with uncertainty in decision making, individuals often turn to their social networks to inform their decisions. In consequence, these networks become central to how new products and behaviors spread. A key structural feature of…

Physics and Society · Physics 2025-10-07 Luca Lazzaro , Manuel S. Mariani , René Algesheimer , Radu Tanase

Commercially motivated junk news -- i.e. money-driven, highly shareable clickbait with low journalistic production standards -- constitutes a vast and largely unexplored news media ecosystem. Using publicly available Facebook data, we…

Computers and Society · Computer Science 2019-08-26 Peter Burger , Soeradj Kanhai , Alexander Pleijter , Suzan Verberne

Contagion, a concept from epidemiology, has long been used to characterize social influence on people's behavior and affective (emotional) states. While it has revealed many useful insights, it is not clear whether the contagion metaphor is…

Social and Information Networks · Computer Science 2016-02-17 Aamena Alshamsi , Fabio Pianesi , Bruno Lepri , Alex Pentland , Iyad Rahwan

Information retrieval systems, such as online marketplaces, news feeds, and search engines, are ubiquitous in today's digital society. They facilitate information discovery by ranking retrieved items on predicted relevance, i.e. likelihood…

Econometrics · Economics 2022-05-16 Rina Friedberg , Karthik Rajkumar , Jialiang Mao , Qian Yao , YinYin Yu , Min Liu

In this paper, we propose a new measure to estimate the similarity between brands via posts of brands' followers on social network services (SNS). Our method was developed with the intention of exploring the brands that customers are likely…

Social and Information Networks · Computer Science 2020-01-13 Yiwei Zhang , Xueting Wang , Yoshiaki Sakai , Toshihiko Yamasaki

In the post year 2000 era the technologies that facilitate human communication have rapidly multiplied. While the adoption of these technologies has hugely impacted the behaviour and sociality of people, specifically in urban but also in…

Physics and Society · Physics 2018-04-16 Kunal Bhattacharya , Kimmo Kaski

This paper compares historical annotations by humans and Large Language Models. The findings reveal that both exhibit some cultural bias, but Large Language Models achieve a higher consensus on the interpretation of historical facts from…

Computation and Language · Computer Science 2026-03-31 Fabio Celli , Georgios Spathulas

The causal effect of showing an ad to a potential customer versus not, commonly referred to as "incrementality", is the fundamental question of advertising effectiveness. In digital advertising three major puzzle pieces are central to…

Machine Learning · Computer Science 2022-08-30 Randall Lewis , Jeffrey Wong

In product search, users tend to browse results on multiple search result pages (SERPs) (e.g., for queries on clothing and shoes) before deciding which item to purchase. Users' clicks can be considered as implicit feedback which indicates…

Information Retrieval · Computer Science 2020-01-10 Keping Bi , Choon Hui Teo , Yesh Dattatreya , Vijai Mohan , W. Bruce Croft

Understanding what drives popularity is critical in today's digital service economy, where content creators compete for consumer attention. Prior studies have primarily emphasized the role of content features, yet creators often misjudge…

Computation and Language · Computer Science 2025-10-14 Jingyi Wu , Junying Liang

Advertisements (ads) often contain strong affective content to capture viewer attention and convey an effective message to the audience. However, most computational affect recognition (AR) approaches examine ads via the text modality, and…

Human-Computer Interaction · Computer Science 2019-06-04 Abhinav Shukla , Shruti Shriya Gullapuram , Harish Katti , Mohan Kankanhalli , Stefan Winkler , Ramanathan Subramanian
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