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In this paper, we propose a general model for collaboration networks. Depending on a single free parameter "{\bf preferential exponent}", this model interpolates between networks with a scale-free and an exponential degree distribution. The…

统计力学 · 物理学 2009-11-11 Tao Zhou , Ying-di Jin , Bing-Hong Wang , Da-Ren He , Pei-Pei Zhang , Yue He , Bei-Bei Su , Kan Chen , Zhong-Zhi Zhang

The dynamics of an agreement protocol interacting with a disagreement process over a common random network is considered. The model can represent the spreading of true and false information over a communication network, the propagation of…

社会与信息网络 · 计算机科学 2012-08-17 Guodong Shi , Mikael Johansson , Karl Henrik Johansson

We present a new model of the evolutionary dynamics and the growth of on-line social networks. The model emulates people's strategies for acquiring information in social networks, emphasising the local subjective view of an individual and…

社会与信息网络 · 计算机科学 2013-10-01 Emanuele Massaro , Henrik Olsson , Andrea Guazzini , Franco Bagnoli

In this paper, we consider consensus problems over a network of nodes, where the network is divided into a number of clusters. We are interested in the case where the communication topology within each cluster is dense as compared to the…

系统与控制 · 电气工程与系统科学 2021-08-27 Thiem V. Pham , Thinh T. Doan , Dinh Hoa Nguyen

We investigate the dynamics of music creation style distributions to understand cultural evolution involving advanced intelligence. Using statistical modelling methods and several musical statistics extracted from datasets of popular music…

物理与社会 · 物理学 2022-05-30 Rajsuryan Singh , Eita Nakamura

The importance of the ability of predict trends in social media has been growing rapidly in the past few years with the growing dominance of social media in our everyday's life. Whereas many works focus on the detection of anomalies in…

社会与信息网络 · 计算机科学 2011-11-22 Yaniv Altshuler , Wei Pan , Alex Pentland

Threshold based models have been widely used in characterizing collective behavior on social networks. An individual's threshold indicates the minimum level of influence that must be exerted, by other members of the population engaged in…

社会与信息网络 · 计算机科学 2014-05-29 Srinivasan Venkatramanan , Anurag Kumar

We present an individual based model of cultural evolution, where interacting agents are coded by binary strings standing for strategies for action, blueprints for products or attitudes and beliefs. The model is patterned on an established…

物理与社会 · 物理学 2016-08-16 Arwen E. Nicholson , Paolo Sibani

Formal modelling provides a toolkit for understanding cultural dynamics, from individual decisions to recurring patterns of change. This chapter explains what models are and why they matter. Using a precise, shared language, they aid…

物理与社会 · 物理学 2026-01-05 Fredrik Jansson

Dynamical processes taking place on real networks define on them evolving subnetworks whose topology is not necessarily the same of the underlying one. We investigate the problem of determining the emerging degree distribution, focusing on…

物理与社会 · 物理学 2009-11-13 Luca Dall'Asta

Evolutionary game theory is employed to study topological conditions of scale-free networks for the evolution of cooperation. We show that Apollonian Networks (ANs) are perfect scale-free networks, on which cooperation can spread to all…

种群与进化 · 定量生物学 2015-03-19 Dong-Ping Yang , Hai Lin , Chen-Xu Wu , Jianwei Shuai

Many models have been proposed to analyze the evolution of opinion structure due to the interaction of individuals in their social environment. Such models analyze the spreading of ideas both in completely interacting backgrounds and on…

物理与社会 · 物理学 2015-03-13 F. Gargiulo , S. Huet

This work develops the concept of temporal network epistemology model enabling the simulation of the learning process in dynamic networks. The results of the research, conducted on the temporal social network generated using the CogSNet…

社会与信息网络 · 计算机科学 2022-08-30 Radosław Michalski , Damian Serwata , Mateusz Nurek , Boleslaw K. Szymanski , Przemysław Kazienko , Tao Jia

Although recently there are extensive research on the collaborative networks and online communities, there is very limited knowledge about the actual evolution of the online social networks (OSN). In the Letter, we study the structural…

物理与社会 · 物理学 2009-08-18 Haibo Hu , Xiaofan Wang

In this paper, we propose an evolving network model growing fast in units of module, based on the analysis of the evolution characteristics in real complex networks. Each module is a small-world network containing several interconnected…

物理与社会 · 物理学 2011-10-11 Zou Zhi-Yun , Liu Peng , Lei Li , Gao Jian-Zhi

Diffusion processes are instrumental to describe the movement of a continuous quantity in a generic network of interacting agents. Here, we present a probabilistic framework for diffusion in networks and propose to classify agent…

社会与信息网络 · 计算机科学 2015-08-28 Wai Hong Ronald Chan , Matthias Wildemeersch , Tony Q. S. Quek

Social trends or fashions are spontaneous collective decisions made by large portions of a community, often without an apparent good reason. The spontaneous formation of trends provides a well documented mechanism for the spread of…

凝聚态物理 · 物理学 2007-05-23 Luis M. A. Bettencourt

Network science plays an increasingly important role to model complex data in many scientific disciplines. One notable feature of network organization is community structure, which refers to clusters of tightly interconnected nodes. A…

社会与信息网络 · 计算机科学 2016-03-18 Dimitri Van De Ville

The idea that there are any large-scale trends in the evolution of biological organisms is highly controversial. It is commonly believed, for example, that there is a large-scale trend in evolution towards increasing complexity, but…

神经与进化计算 · 计算机科学 2021-06-08 Peter D. Turney

Complex networks of real-world systems are believed to be controlled by common phenomena, producing structures far from regular or random. These include scale-free degree distributions, small-world structure and assortative mixing by…

社会与信息网络 · 计算机科学 2013-05-24 Lovro Šubelj , Marko Bajec