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Selfies have become increasingly fashionable in the social media era. People are willing to share their selfies in various social media platforms such as Facebook, Instagram and Flicker. The popularity of selfie have caught researchers'…

社会与信息网络 · 计算机科学 2017-02-28 Tianlang Chen , Yuxiao Chen , Jiebo Luo

We study the detailed growth of a social networking site with full temporal information by examining the creation process of each friendship relation that can collectively lead to the macroscopic properties of the network. We first study…

物理与社会 · 物理学 2015-06-03 Haibo Hu , Xiaofan Wang

To make decisions we are guided by the evidence we collect, as well as the opinions of friends and neighbors. How do we integrate our private beliefs with information we obtain from our social network? To understand the strategies humans…

物理与社会 · 物理学 2020-03-04 Bhargav Karamched , Simon Stolarczyk , Zachary Kilpatrick , Krešimir Josić

The friendship paradox refers to the sociological observation that, while the people's assessment of their own popularity is typically self-aggrandizing, in reality they are less popular than their friends. The generalized friendship…

物理与社会 · 物理学 2014-10-03 Babak Fotouhi , Naghmeh Momeni , Michael G. Rabbat

The pervasive use of social media provides massive data about individuals' online social activities and their social relations. The building block of most existing recommendation systems is the similarity between users with social…

社会与信息网络 · 计算机科学 2018-03-19 Ghazaleh Beigi , Huan Liu

There has been a tremendous rise in the growth of online social networks all over the world in recent years. It has facilitated users to generate a large amount of real-time content at an incessant rate, all competing with each other to…

社会与信息网络 · 计算机科学 2013-12-04 Louis Lei Yu , Sitaram Asur , Bernardo A. Huberman

In a "tipping" model, each node in a social network, representing an individual, adopts a behavior if a certain number of his incoming neighbors previously held that property. A key problem for viral marketers is to determine an initial…

社会与信息网络 · 计算机科学 2015-03-20 Paulo Shakarian , Damon Paulo

Twitter is one of the most prominent Online Social Networks. It covers a significant part of the online worldwide population~20% and has impressive growth rates. The social graph of Twitter has been the subject of numerous studies since it…

社会与信息网络 · 计算机科学 2023-05-29 Despoina Antonakaki , Sotiris Ioannidis , Paraskevi Fragopoulou

With the prevalence of e-commence websites and the ease of online shopping, consumers are embracing huge amounts of various options in products. Undeniably, shopping is one of the most essential activities in our society and studying…

计算机视觉与模式识别 · 计算机科学 2017-02-23 Kuan-Ting Chen , Jiebo Luo

We analyze general trends and pattern in time series that characterize the dynamics of collective attention to social media services and Web-based businesses. Our study is based on search frequency data available from Google Trends and…

社会与信息网络 · 计算机科学 2014-06-26 Christian Bauckhage , Kristian Kersting

Over the past years, e-commerce platforms have expanded substantially, providing customers with convenient shopping experiences. To enhance e-commerce websites, it's essential to grasp user engagement and factors affecting conversion rates.…

社会与信息网络 · 计算机科学 2024-03-26 Amrutha Muralidhar , Yathindra Lakkanna

We investigate the growth of connectivity in a network. In our model, starting with a set of disjoint nodes, links are added sequentially. Each link connects two nodes, and the connection rate governing this random process is proportional…

统计力学 · 物理学 2012-02-16 E. Ben-Naim , P. L. Krapivsky

I study a social learning model in which the object to learn is a strategic player's endogenous actions rather than an exogenous state. A patient seller faces a sequence of buyers and decides whether to build a reputation for supplying high…

理论经济学 · 经济学 2020-11-03 Harry Pei

Ego-networks are fundamental structures in social graphs, yet the process of their evolution is still widely unexplored. In an online context, a key question is how link recommender systems may skew the growth of these networks, possibly…

社会与信息网络 · 计算机科学 2017-02-07 Luca Maria Aiello , Nicola Barbieri

We empirically analyze five online communities: Friendster, Livejournal, Facebook, Orkut, Myspace, to identify causes for the decline of social networks. We define social resilience as the ability of a community to withstand changes. We do…

社会与信息网络 · 计算机科学 2014-04-11 David Garcia , Pavlin Mavrodiev , Frank Schweitzer

The past decade has seen tremendous shifts in how people live, work, and buy goods, with an increased reliance on e-commerce and deliveries. Purchase histories generated through e-commerce can be highly personal, revealing identifying…

计算机与社会 · 计算机科学 2021-08-18 Alex Berke , Nicolas Lee , Patrick Chwalek

Social marketing is becoming increasingly important in contemporary business. Central to social marketing is quantifying how consumers choose between alternatives and how they influence each other. This work considers a new but simple…

社会与信息网络 · 计算机科学 2014-05-05 Jeremy Chen

User feedback is one of the most effective methods to build and maintain trust in electronic commerce platforms. Unfortunately, dishonest sellers often bend over backward to manipulate users' feedback or place phony bids in order to…

社会与信息网络 · 计算机科学 2022-04-22 Michael Fire , Rami Puzis , Dima Kagan , Yuval Elovici

Crowdsourcing platforms have become quite popular due to the increasing demand of human computation-based tasks. Though the crowdsourcing systems are primarily demand-driven like MTurk, supply-driven marketplaces are becoming increasingly…

社会与信息网络 · 计算机科学 2016-09-21 Suman Kalyan Maity , Chandra Bhanu Jha , Avinash Kumar , Ayan Sengupta , Madhur Modi , Animesh Mukherjee

There has been a tremendous rise in the growth of online social networks all over the world in recent times. While some networks like Twitter and Facebook have been well documented, the popular Chinese microblogging social network Sina…

计算机与社会 · 计算机科学 2011-07-19 Louis Yu , Sitaram Asur , Bernardo A. Huberman