Online Social Networks: Human Cognitive Constraints in Facebook and Twitter Personal Graphs

Online Social Networks: Human Cognitive Constraints in Facebook and Twitter provides new insights into the structural properties of personal online social networks and the mechanisms underpinning human online social behavior.

As the availability of digital communication data generated by social media is revolutionizing the field of social networks analysis, the text discusses the use of large- scale datasets to study the structural properties of online ego networks, to compare them with the properties of general human social networks, and to highlight additional properties.

Users will find the data collected and conclusions drawn useful during design or research service initiatives that involve online and mobile social network environments.

Provides an analysis of the structural properties of ego networks in online social networks Presents quantitative evidence of the Dunbar’s number in online environmentsDiscusses original structural and dynamic properties of human social network through OSN analysis

1. Introduction

a. Cyber-Physical World convergence

b. Ego networks analysis and the social brain hypothesis

c. Aim of the book

d. Main findings

3. Human Social Networks and ego networks

a. Fundamental properties of social networks

b. The importance of tie strength

c. Ego networks

4. Analysis of of ego networks in online social networks

a. Datasets description

b. Modelling tie strength and social networks through online

communication data

c. Structural properties of online ego networks

d. Dynamics of ego networks and personal social relationships online

5. Applying structural knowledge to Online Social Networking services

6. Conclusion