We analyze boundedly rational learning in social networks within binary action environments. We establish how learning outcomes depend on the environment (i.e., informational structure, utility function), the axioms imposed on the updating behavior, and the network structure. In particular, we...

This paper studies how the strength of social ties is affected by the geographical location of other individuals and their social capital. We characterize the equilibrium in terms of both social interactions and social capital. We show that lower travel costs increase not only the interaction...

We study a sequential-learning model featuring a network of naive agents with Gaussian information structures. Agents apply a heuristic rule to aggregate predecessors' actions. They weigh these actions according the strengths of their social connections to different predecessors. We show this...

This study proposes an exploratory methodology for analyzing participation in Electronic Networks of Practice, focusing on a network of 500 specialists in breast cancer treatment as a case study. The research addresses a critical gap in understanding how conversational dynamics influence...

The paper proposes a game of weighted network formation in which each agent has a limited resource to form links of possibly different intensities with other agents and to use for private purposes. We show that every equilibrium is either "reciprocal" or "non-reciprocal". In a reciprocal...

We investigate how information goods are priced and diffused over links in a network. A new equivalence relation between nodes captures the effects of network architecture and locations of sellers on the division of profits, and characterizes the topology of competing (and potentially...

We model network formation and interactions under a unified framework by considering that individuals anticipate the effect of network structure on the utility of network interactions when choosing links. There are two advantages of this modeling approach: first, we can evaluate whether network...

Fast network communication has been manifested in recent years as an indispensable result of constant network connectivity, a common characteristic of Generation C. Through this network communication, which is particularly popular on social networks, members of this generation share and seek...

Information and communications technology (ICT) has potential to complement information sharing bureaus (ISB) Most companies use social networks as communication channels because they can provide significant business benefits. This paper focuses on the impact of social networks in a Spanish...

The purpose of this paper is to explore the problem of power distribution within networks of relationships between companies and consumers (business-to-consumer (B2C) networks) and to examine the ways in which value is created and captured in such structures. To this end, we applied the network...