In many real-world scenarios, it is nearly impossible to collect explicit social network data. In such cases, whole networks must be inferred from underlying observations. Here, w...
We propose a new class of game-theoretic models for network formation in which strategies are not directly related to edge choices, but instead correspond more generally to the ex...
Christian Borgs, Jennifer T. Chayes, Jian Ding, Br...
The present work investigates the structural and dynamical properties of aNobii1 , a social bookmarking system designed for readers and book lovers. Users of aNobii provide informa...
Luca Maria Aiello, Alain Barrat, Ciro Cattuto, Gia...
Abstract-- When monitoring interactions within a social network, meetings or contacts between different members of the network are recorded. This paper addresses the problem of usi...
Participation from all stakeholders is important in a successful software development project, especially if the development project is complex and has many stakeholders. Identify...
With the phenomenal success of networking sites (e.g., Facebook, Twitter and LinkedIn), social networks have drawn substantial attention. On online social networking sites, link r...
Zhijun Yin, Manish Gupta, Tim Weninger, Jiawei Han
—To understand the diffusive spreading of a product in a telecom network, whether the product is a service, handset, or subscription, it can be very useful to study the structure...
Pal Roe Sundsoy, Johannes Bjelland, Geoffrey Canri...
This paper examines the location traces of 489 users of a location sharing social network for relationships between the users' mobility patterns and structural properties of ...
Justin Cranshaw, Eran Toch, Jason I. Hong, Aniket ...
Diffusion processes taking place in social networks are used to model a number of phenomena, such as the spread of human or computer viruses, and the adoption of products in `vira...
Visualizing large-scale online social network is a challenging yet essential task. This paper presents HiMap, a system that visualizes it by clustered graph via hierarchical group...
Lei Shi, Nan Cao, Shixia Liu, Weihong Qian, Li Tan...