Social science lines up its biggest challenges

Giles, Jim

doi:10.1038/470018a

Cited by 52 publications

(30 citation statements)

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“…The Web as a new social space provides 'unbearable easiness of communication' that may lead to new social phenomena in the online world and affect the behaviour of users [1][2][3]. The emergent online social networks represent some of the largest social structures in the world [4].…”

Section: Introductionmentioning

confidence: 99%

How the online social networks are used: dialogues-based structure of`MySpace`

Šuvakov

Mitrović

Gligorijević

et al. 2013

J. R. Soc. Interface.

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Quantitative study of collective dynamics in online social networks is a new challenge based on the abundance of empirical data. Conclusions, however, may depend on factors such as user's psychology profiles and their reasons to use the online contacts. In this study, we have compiled and analysed two datasets from MySpace. The data contain networked dialogues occurring within a specified time depth, high temporal resolution and texts of messages, in which the emotion valence is assessed by using the SentiStrength classifier. Performing a comprehensive analysis, we obtain three groups of results: dynamic topology of the dialogues-based networks have a characteristic structure with Zipf's distribution of communities, low link reciprocity and disassortative correlations. Overlaps supporting 'weak-ties' hypothesis are found to follow the laws recently conjectured for online games. Longrange temporal correlations and persistent fluctuations occur in the time series of messages carrying positive (negative) emotion; patterns of user communications have dominant positive emotion (attractiveness) and strong impact of circadian cycles and interactivity times longer than 1 day. Taken together, these results give a new insight into the functioning of online social networks and unveil the importance of the amount of information and emotion that is communicated along the social links. All data used in this study are fully anonymized.

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Section: Introductionmentioning

confidence: 99%

How the online social networks are used: dialogues-based structure of`MySpace`

Šuvakov

Mitrović

Gligorijević

et al. 2013

J. R. Soc. Interface.

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“…Motivating people to engage in healthy behaviors has been identified as the most important challenge currently facing social scientists, 13 and health behaviors are recognized as the cause of 50% of the premature morbidity and mortality in the United States. 14 Sexually transmitted infection clinics may provide an opportune setting in which to intervene with and promote healthier behaviors among individuals who have multiple health and psychosocial challenges.…”

Section: • Methodsmentioning

confidence: 99%

Health and Life Concerns Among Patients Attending a Publicly Funded Sexually Transmitted Infection Clinic

Carey

Senn

2013

Journal of Public Health Management and Practice

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“…Also, there is the question of different processes for aggregation of information about facts and about interpretation of the facts, that is the aggregation of meaning. Collectively these questions are behind two of ten top social-science questions listed in [58]: How can we aggregate information possessed by individuals to make the best decisions?, and How can humanity increase its collective wisdom?…”

Section: Information Aggregation and Processing Social Learningmentioning

confidence: 99%

Challenges in complex systems science

Miguel

Johnson

Kertész

et al. 2012

Eur. Phys. J. Spec. Top.

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Abstract. FuturICT foundations are social science, complex systems science, and ICT. The main concerns and challenges in the science of complex systems in the context of FuturICT are laid out in this paper with special emphasis on the Complex Systems route to Social Sciences. This include complex systems having: many heterogeneous interacting parts; multiple scales; complicated transition laws; unexpected or unpredicted emergence; sensitive dependence on initial conditions; path-dependent dynamics; networked hierarchical connectivities; interaction of autonomous agents; self-organisation; non-equilibrium dynamics; combinatorial explosion; adaptivity to changing environments; co-evolving subsystems; ill-defined boundaries; and multilevel dynamics. In this context, science is seen as the process of abstracting the dynamics of systems from data. This presents many challenges including: data gathering by large-scale experiment, participatory sensing and social computation, managing huge distributed dynamic and heterogeneous databases; moving from data to dynamical models, going beyond correlations to cause-effect relationships, understanding the relationship between simple and comprehensive models with appropriate choices of variables, ensemble modeling and data assimilation, modeling systems of systems of systems with many levels between micro and macro; and formulating new approaches to prediction, forecasting, and risk, especially in systems that can reflect on and change a

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Social science lines up its biggest challenges

Cited by 52 publications

References 2 publications

How the online social networks are used: dialogues-based structure of`MySpace`

How the online social networks are used: dialogues-based structure of`MySpace`

Health and Life Concerns Among Patients Attending a Publicly Funded Sexually Transmitted Infection Clinic

Challenges in complex systems science

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Social science lines up its biggest challenges

Cited by 52 publications

References 2 publications

How the online social networks are used: dialogues-based structure ofMySpace

How the online social networks are used: dialogues-based structure ofMySpace

Health and Life Concerns Among Patients Attending a Publicly Funded Sexually Transmitted Infection Clinic

Challenges in complex systems science

Contact Info

Product

Resources

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How the online social networks are used: dialogues-based structure of`MySpace`

How the online social networks are used: dialogues-based structure of`MySpace`