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In the era of mobile computing, understanding human mobility patterns is crucial in order to better design protocols and applications. Many studies focus on different aspects of human mobility such as people's points of interests, routes,…

Social and Information Networks · Computer Science 2015-12-16 Ivan Oliveira Nunes , Pedro O. S. Vaz de Melo , Antonio A. F. Loureiro

The collective motion of a set of moving entities like people, birds, or other animals, is characterized by groups arising, merging, splitting, and ending. Given the trajectories of these entities, we define and model a structure that…

Computational Geometry · Computer Science 2013-03-26 Kevin Buchin , Maike Buchin , Marc van Kreveld , Bettina Speckmann , Frank Staals

Understanding pattern formation in crossing pedestrian flows is essential for analyzing and managing high-density crowd dynamics in urban environments. This study presents two complementary methodological approaches to detect and…

Physics and Society · Physics 2025-04-24 Piotr Nyczka , Pratik Mullick

Sets of moving entities can form groups which travel together for significant amounts of time. Tracking such groups is an important analysis task in a variety of areas, such as wildlife ecology, urban transport, or sports analysis.…

Data Structures and Algorithms · Computer Science 2023-04-18 Max van Mulken , Bettina Speckmann , Kevin Verbeek

In real-world social networks, there is an increasing interest in tracking the evolution of groups of users and detecting the various changes they are liable to undergo. Several approaches have been proposed for this. In studying these…

Social and Information Networks · Computer Science 2019-03-20 Ziwei He , Etienne Gael Tajeuna , Shengrui Wang , Mohamed Bouguessa

The continuous interest in the social network area contributes to the fast development of this field. The new possibilities of obtaining and storing data facilitate deeper analysis of the entire network, extracted social groups and single…

Social and Information Networks · Computer Science 2012-07-24 Piotr Bródka , Stanisław Saganowski , Przemysław Kazienko

Groups - social communities are important components of entire societies, analysed by means of the social network concept. Their immanent feature is continuous evolution over time. If we know how groups in the social network has evolved we…

Social and Information Networks · Computer Science 2012-10-19 Piotr Bródka , Przemysław Kazienko , Bartosz Kołoszczyk

Rodents serve as an important model for examining both individual and collective behavior. Dominance within rodent social structures can determine access to critical resources, such as food and mating opportunities. Yet, many aspects of the…

Quantitative Methods · Quantitative Biology 2024-08-20 Mate Nagy , Jacob D. Davidson , Gabor Vasarhelyi , Daniel Abel , Eniko Kubinyi , Ahmed El Hady , Tamas Vicsek

Large animal groups -- bird flocks, fish schools, insect swarms -- are often assumed to form by gradual aggregation of sparsely distributed individuals. Using a mathematically precise framework based on time-varying directed interaction…

Populations and Evolution · Quantitative Biology 2025-12-02 Jidong Jin

Groups -- such as clusters of points or communities of nodes -- are fundamental when addressing various data mining tasks. In temporal data, the predominant approach for characterizing group evolution has been through the identification of…

Machine Learning · Computer Science 2024-03-12 Andrea Failla , Rémy Cazabet , Giulio Rossetti , Salvatore Citraro

The increasing pervasiveness of object tracking technologies leads to huge volumes of spatiotemporal data collected in the form of trajectory streams. The discovery of useful group patterns from moving objects' movement behaviours in…

Databases · Computer Science 2022-08-15 Yanwei Yu , Ruoshan Lan , Lei Cao , Peng Song , Yingjie Wang

This paper presents an approach to detect and track groups of people in video-surveillance applications, and to automatically recognize their behavior. This method keeps track of individuals moving together by maintaining a spacial and…

Computer Vision and Pattern Recognition · Computer Science 2013-03-04 Sofia Zaidenberg , Bernard Boulay , François Bremond

Cooperation plays a fundamental role in societal and biological domains, and the population structure profoundly shapes the dynamics of evolution. Practically, individuals behave either altruistically or egoistically in multiple groups,…

Adaptation and Self-Organizing Systems · Physics 2024-04-05 Dini Wang , Peng Yi , Yiguang Hong , Jie Chen , Gang Yan

We report on two series of experiments, conducted in the frame of two different collaborations designed to study how pedestrians adapt their trajectories and velocities in groups or crowds. Strong emphasis is put on the motivations for the…

Biological and social scientists have long been interested in understanding how to reconcile individual and collective interests in iterated Prisoner's Dilemma. Many effective strategies have been proposed, and they are often categorized…

Physics and Society · Physics 2023-08-30 Yohsuke Murase , Seung Ki Baek

We propose a bio-inspired, agent-based approach to describe the natural phenomenon of group chasing in both two and three dimensions. Using a set of local interaction rules we created a continuous-space and discrete-time model with time…

Biological Physics · Physics 2017-05-24 Milán Janosov , Csaba Virágh , Gábor Vásárhelyi , Tamás Vicsek

Communities are not static; they evolve, split and merge, appear and disappear, i.e. they are product of dynamical processes that govern the evolution of the network. A good algorithm for community detection should not only quantify the…

Physics and Society · Physics 2011-11-24 Angel Stanoev , Daniel Smilkov , Ljupco Kocarev

Social norms and conventions are commonly accepted and adopted behaviors and practices within a social group that guide interactions -- e.g., how to spell a word or how to greet people -- and are central to a group's culture and identity.…

Social and Information Networks · Computer Science 2025-02-28 Mengbin Ye , Lorenzo Zino

This paper applies existing and new approaches to study trends in the performance of elite athletes over time. We study both track and field scores of men and women athletes on a yearly basis from 2001 to 2019, revealing several trends and…

Physics and Society · Physics 2023-01-20 Nick James , Max Menzies , Howard Bondell

The rich set of interactions between individuals in the society results in complex community structure, capturing highly connected circles of friends, families, or professional cliques in a social network. Thanks to frequent changes in the…

Methodology · Statistics 2007-12-12 Gergely Palla , Albert-Laszlo Barabasi , Tamas Vicsek
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