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Temporal editing patterns on Wikipedia provide a unique computational lens to explore cultural dynamics across linguistic communities. This study analyses over a decade of editorial activity (2001-2010) across eleven Wikipedia language…

物理与社会 · 物理学 2026-03-03 David André Villamil Carrillo , Yérali Gandica

Modeling human dynamics responsible for the formation and evolution of the so-called social networks - structures comprised of individuals or organizations and indicating connectivities existing in a community - is a topic recently…

计算机与社会 · 计算机科学 2007-05-23 Victor V. Kryssanov , Frank J. Rinaldo , Evgeny L. Kuleshov , Hitoshi Ogawa

Due to their widespread adoption, social media platforms present an ideal environment for studying and understanding social behavior, especially on information spread. Modeling social media activity has numerous practical implications such…

社会与信息网络 · 计算机科学 2021-09-24 Kin Wai Ng , Sameera Horawalavithana , Adriana Iamnitchi

Online platforms provide an infrastructure for social movements, leaving digital traces that can be modelled as networks to quantify how information, participation, and coordination emerge during episodes of collective action and evolve…

物理与社会 · 物理学 2026-05-12 Manuel Suarez-Roman , M. Ángeles Serrano , Yérali Gandica

We introduce a model of adaptive temporal networks whose evolution is regulated by an interplay between node activity and dynamic exchange of information through links. We study the model by using a master equation approach. Starting from a…

物理与社会 · 物理学 2016-04-18 Takaaki Aoki , Luis E. C. Rocha , Thilo Gross

Collaborative activities among knowledge workers such as software developers underlie the development of modern society, but the in-depth understanding of their behavioral patterns in open online communities is very challenging. The…

软件工程 · 计算机科学 2017-02-28 Hongrui Wu , Xiaowan Shi , Yutao Ma

Humans follow circadian rhythms, visible in their activity levels as well as physiological and psychological factors. Such rhythms are also visible in electronic communication records, where the aggregated activity levels of e.g. mobile…

The aim of this paper is to present methods to systematically analyze individual and group behavioral patterns observed in community driven discussion platforms like Reddit where users exchange information and views on various topics of…

社会与信息网络 · 计算机科学 2018-09-20 Sachin Thukral , Hardik Meisheri , Tushar Kataria , Aman Agarwal , Ishan Verma , Arnab Chatterjee , Lipika Dey

Studies of human attention dynamics analyses how attention is focused on specific topics, issues or people. In online social media, there are clear signs of exogenous shocks, bursty dynamics, and an exponential or powerlaw lifetime…

物理与社会 · 物理学 2014-09-11 V. A. Traag , R. Reinanda , J. Hicks , G. van Klinken

The massive amount of text data on the web has facilitated research on the quantitative analysis of public opinion, which could not be visualized earlier. In this paper, we propose a new opinion dynamics theory. This theory that is intended…

物理与社会 · 物理学 2019-01-01 Akira Ishii , Yasuko Kawahata

This research investigates the impact of dynamic, time-varying interactions on cooperative behaviour in social dilemmas. Traditional research has focused on deterministic rules governing pairwise interactions, yet the impact of interaction…

物理与社会 · 物理学 2024-08-20 Yujie He , Tianyu Ren , Xiao-Jun Zeng , Huawen Liang , Liukai Yu , Junjun Zheng

Modern social platforms are characterized by the presence of rich user-behavior data associated with the publication, sharing and consumption of textual content. Users interact with content and with each other in a complex and dynamic…

社会与信息网络 · 计算机科学 2019-02-08 Adit Krishnan , Ashish Sharma , Hari Sundaram

In a recent preprint \cite{eck}, the temporal dynamics of an e-mail network has been investigated by J.P. Eckmann, E. Moses and D. Sergi. Specifically, the time period between an e-mail message and its reply were recorded. It will be shown…

凝聚态物理 · 物理学 2009-11-10 Anders Johansen

Inhomogeneous temporal processes, like those appearing in human communications, neuron spike trains, and seismic signals, consist of high-activity bursty intervals alternating with long low-activity periods. In recent studies such bursty…

物理与社会 · 物理学 2011-12-01 Márton Karsai , Kimmo Kaski , Albert-László Barabási , János Kertész

The increasing availability of large-scale data on human behavior has catalyzed simultaneous advances in network theory, capturing the scaling properties of the interactions between a large number of individuals, and human dynamics,…

物理与社会 · 物理学 2013-04-10 Chaoming Song , Dashun Wang , Albert-Laszlo Barabasi

A number of human activities exhibit a bursty pattern, namely periods of very high activity that are followed by rest periods. Records of these processes generate time series of events whose inter-event times follow a probability…

We analyse the corpus of user relationships of the Slashdot technology news site. The data was collected from the Slashdot Zoo feature where users of the website can tag other users as friends and foes, providing positive and negative…

社会与信息网络 · 计算机科学 2017-11-01 Jérôme Kunegis , Andreas Lommatzsch , Christian Bauckhage

Information avalanches in social media are typically studied in a similar fashion as avalanches of neuronal activity in the brain. Whereas a large body of literature reveals substantial agreement about the existence of a unique process…

User dynamics in online social networks have a significant impact on not only the online community but also real-world activities. As examples, we can mention explosive user dynamics triggered by social polarization, echo chamber phenomena,…

社会与信息网络 · 计算机科学 2021-03-10 Masaki Aida , Koichi Nagatani , Chisa Takano

The massive amounts of data that social media generates has facilitated the study of online human behavior on a scale unimaginable a few years ago. At the same time, the much discussed apparent randomness with which people interact online…

计算机与社会 · 计算机科学 2012-07-23 Chunyan Wang , Bernardo A. Huberman