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相关论文: Interactive Levy Flight in Interest Space

200 篇论文

Previous studies demonstrated empirically that human mobility exhibits Levy flight behaviour. However, our knowledge of the mechanisms governing this Levy flight behaviour remains limited. Here we analyze over 72 000 people's moving…

数据分析、统计与概率 · 物理学 2009-09-15 Bin Jiang , Junjun Yin , Sijian Zhao

We present a structured random-walk model that captures key aspects of how people communicate in groups. Our model takes the form of a correlated L\'{e}vy flight that quantifies the balance between focused discussion of an idea and…

社会与信息网络 · 计算机科学 2018-12-12 William H. W. Thompson , Zachary Wojtowicz , Simon DeDeo

A mass of traces of human activities show diverse dynamic patterns. In this paper, we comprehensively investigate the dynamic pattern of human attention defined by the quantity of interests on subdisciplines in an online academic…

物理与社会 · 物理学 2017-11-29 Zhi-Dan Zhao , Ya-Chun Gao , Shi-Min Cai

L\'evy flights represent the best strategy to randomly search for a target in an unknown environment, and have been widely observed in many animal species. Here, we inspect and discuss recent results concerning human behavior and cognition.…

物理与社会 · 物理学 2013-09-19 Andrea Baronchelli , Filippo Radicchi

With the wide adoption of the multi-community setting in many popular social media platforms, the increasing user engagements across multiple online communities warrant research attention. In this paper, we introduce a novel analogy between…

社会与信息网络 · 计算机科学 2018-03-23 Tianran Hu , Jiebo Luo , Wei Liu

Many online social networks thrive on automatic sharing of friends' activities to a user through activity feeds, which may influence the user's next actions. However, identifying such social influence is tricky because these activities are…

社会与信息网络 · 计算机科学 2016-04-06 Amit Sharma , Dan Cosley

Levy walk is a fundamental model with applications ranging from quantum physics to paths of animal foraging. Taking animal foraging as an example, a natural idea that comes to one's mind is to introduce the multiple internal states for…

统计力学 · 物理学 2019-01-04 Pengbo Xu , Weihua Deng

Large quantities of data flow on the internet. When a user decides to help the spread of a piece of information (by retweeting, liking, posting content), most research works assumes she does so according to information's content,…

社会与信息网络 · 计算机科学 2022-04-22 Gaël Poux-Médard , Julien Velcin , Sabine Loudcher

We consider the duration of discussions in face-to-face contacts and propose a stochastic model to describe it. It is based on the points of a Levy flight where the duration of each contact corresponds to the size of the clusters produced…

物理与社会 · 物理学 2024-08-23 S. Plaszczynski , B. Grammaticos , M. Badoual

The dynamics of human mobility characterizes the trajectories humans follow during their daily activities and is the foundation of processes from epidemic spreading to traffic prediction and information recommendation. In this paper, we…

物理与社会 · 物理学 2015-06-16 Zhi-Dan Zhao , Shi-Min Cai , Yang Lu

Social influence drives both offline and online human behaviour. It pervades cultural markets, and manifests itself in the adoption of scientific and technical innovations as well as the spread of social practices. Prior empirical work on…

物理与社会 · 物理学 2014-07-14 J. -P. Onnela , F. Reed-Tsochas

In this paper, we explore salient questions about user interests, conversations and friendships in the Facebook social network, using a novel latent space model that integrates several data types. A key challenge of studying Facebook's data…

社会与信息网络 · 计算机科学 2012-11-02 Qirong Ho , Rong Yan , Rajat Raina , Eric P. Xing

Related to an idea of Lewin, a mathematical model for behavioral changes under the influence of a social field is developed. The social field reflects public opinion, social norms and trends. It is not only given by external factors (the…

统计力学 · 物理学 2007-05-23 Dirk Helbing

Organizing a few webpages from social media websites into popular topics is one of the key steps to understand trends on web. Discovering popular topics from web faces a sea of noise webpages which never evolve into popular topics. In this…

信息检索 · 计算机科学 2024-08-13 Junbiao Pang , Qingming Huang

We present a new family of graphs with remarkable properties. They are obtained by connecting the points of a random walk when their distance is smaller than a given scale. Their degree (number of neighbors) does not depend on the graph's…

统计力学 · 物理学 2022-06-15 S. Plaszczynski , G. Nakamura , C. Deroulers , B. Grammaticos , M. Badoual

Social media, regarded as two-layer networks consisting of users and items, turn out to be the most important channels for access to massive information in the era of Web 2.0. The dynamics of human activity and item popularity is a crucial…

物理与社会 · 物理学 2014-03-03 Peng Zhang , Menghui Li , Liang Gao , Ying Fan , Zengru Di

Random walk is a fundamental concept with applications ranging from quantum physics to econometrics. Remarkably, one specific model of random walks appears to be ubiquitous across many fields as a tool to analyze transport phenomena in…

统计力学 · 物理学 2015-06-12 V. Zaburdaev , S. Denisov , J. Klafter

Humans are social animals, they interact with different communities of friends to conduct different activities. The literature shows that human mobility is constrained by their social relations. In this paper, we investigate the social…

社会与信息网络 · 计算机科学 2016-04-04 Jun Pang , Yang Zhang

It has been found that human mobility exhibits random patterns following the Levy flight, where human movement contains many short flights and some long flights, and these flights follow a power-law distribution. In this paper, we study the…

物理与社会 · 物理学 2021-12-30 Linfang Tian , Kai Zhao , Jiaming Yin , Huy Vo , Weixiong Rao

The ever-increasing amount of information flowing through Social Media forces the members of these networks to compete for attention and influence by relying on other people to spread their message. A large study of information propagation…

计算机与社会 · 计算机科学 2010-08-09 Daniel M. Romero , Wojciech Galuba , Sitaram Asur , Bernardo A. Huberman
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