Computational Social Science

  title={Computational Social Science},
  author={David Lazer and Alex Pentland and Lada A. Adamic and Sinan Aral and A L Barabasi and Devon Brewer and Nicholas A. Christakis and Noshir S. Contractor and James H. Fowler and Myron P. Gutmann and Tony Jebara and Gary King and Michael W. Macy and Deb K. Roy and Marshall W. Van Alstyne},
  pages={721 - 723}
A field is emerging that leverages the capacity to collect and analyze data at a scale that may reveal patterns of individual and group behaviors. 

Computational social science: Making the links

  • J. Giles
  • Sociology, Computer Science
  • 2012

Cognitive Network Science: A Review of Research on Cognition through the Lens of Network Representations, Processes, and Dynamics

How network science approaches have been applied to the study of human cognition and how network science can uniquely address and provide novel insight on important questions related to the complexity of cognitive systems and the processes that occur within those systems are demonstrated.

Modeling Organizational Dynamics : Distributions, Networks, Sequences and Mechanisms

The study of how social organizations work, change and develop is central to sociology and to our understanding of the social world and its transformations. At the same time, the underlying princip

Engineering trade-offs in social organization: The beginnings of a computational social science

The paper discusses the characterization of an individual's behaviour in a social network by capturing their activity through a multitude of sensor, the chief sensor being the cellular phones. The

Mathematical foundations for social computing

Social computing benefits from mathematical foundations, but research has barely scratched the surface, according to research in social computing.

Special Issue "Computational Social Science"

The last centuries have seen a great surge in our understanding and control of “simple” physical,chemical, and biological processes through data analysis and the mathematical modeling of

Information Spreading on Communication Networks

A quantitative analysis of human communication patterns is essential not only for a better understanding of human behavior, but also to explain the dynamics of many social, technological and economic

Introduction and Motivations

Uncovering the patterns that characterize human behavior is not only one of the main challenges of contemporary science, but also of outstanding importance for the understanding and modeling of many

Catching fish in the stream: real time analysis of audience behavior in social media

This interactive poster describes a system designed for identifying and tracking the behavior of distinct audiences in social media streams and its applications in marketing, advertising, and research.

What Drives the Emergence of Social Networks?

  • M. UdrescuA. Topîrceanu
  • Computer Science
    2015 20th International Conference on Control Systems and Computer Science
  • 2015
It is argued that node betweenness is the main force that drives social network emergence, and which network centrality is the most important in defining preference.



A twenty-first century science

If handled appropriately, data about Internet-based communication and interactivity could revolutionize our understanding of collective human behaviour.

A social network caught in the Web

Using the rich profile data provided by the users, the analysis of Club Nexus was able to deduce the attributes contributing to the formation of friendships, and to determine how the similarity of users decays as the distance between them in the network increases.

Reality mining: sensing complex social systems

The ability to use standard Bluetooth-enabled mobile telephones to measure information access and use in different contexts, recognize social patterns in daily user activity, infer relationships, identify socially significant locations, and model organizational rhythms is demonstrated.

Machine perception and learning of complex social systems

This thesis describes how the unprecedented amount of information generated by pervasive mobile phones can be used to uncover regular rules and structure in behavior of both individuals and organizations, infer relationships between subjects, verify selfreport survey data, and study social network dynamics.

Computational social science

The social sciences investigate human and social dynamics and organization at all levels of analysis (consilience), including cognition, decision making, behavior, groups, organizations, societies,

Mining Face-to-Face Interaction Networks using Sociometric Badges: Predicting Productivity in an IT Configuration Task

This work bridges two influential bodies of research in order to contrast face-to-face network structure with network structure in electronic communication and demonstrates that information flows in actual conversations are driving the results.

Behavioral Inference across Cultures: Using Telephones as a Cultural Lens

  • N. Eagle
  • Sociology
    IEEE Intelligent Systems
  • 2008
Examples from various cultures and hundreds of millions of individuals illustrate how phones can serve as a cultural lens, improving the authors' understanding of social networks, outlier events, and a culture's pace of life.

How to search a social network

Theories of Communication Networks

1. Networks and Flows in Organizational Communication PART I: THE MULTITHEORETICAL, MULTILEVEL FRAMEWORK 2. Network Concepts, Measures, and the Multitheoretical, Multilevel Analytical Framework 3.