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We have discussed why we form relationships, what attracts us to others, and different types of love. But what determines whether we are satisfied with and stay in a relationship? One theory that provides an explanation is social exchange theory. According to social exchange theory, we act as naïve economists in keeping a tally of the ratio of costs and benefits of forming and maintaining a relationship with others (Rusbult & Van Lange, 2003).
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Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
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EventWeb: towards social life networks.

Ramesh Jain1

  • 1Department of Computer Science, University of California, Irvine, CA 92697, USA. jain@ics.uci.edu

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|February 20, 2013
PubMed
Summary

The evolution of the Web towards an EventWeb, where events are nodes, is proposed. This new EventWeb, integrated with social life networks via mobile sensors, can address significant human challenges.

Area of Science:

  • Computer Science
  • Web Technology
  • Social Computing

Background:

  • The current World Wide Web is document-centric, limiting its ability to represent dynamic real-world occurrences.
  • Emerging applications necessitate a shift towards event-centric data structures for richer information integration.

Purpose of the Study:

  • To explore the concept and potential growth of an EventWeb as the next stage in web evolution.
  • To investigate the integration of multimodal sensory information within this new web paradigm.
  • To propose the development of social life networks leveraging mobile technology for societal problem-solving.

Main Methods:

  • Conceptual exploration of EventWeb architecture.
  • Analysis of social network functionalities and event integration.

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  • Examination of mobile sensor capabilities and their role in data acquisition.
  • Main Results:

    • The EventWeb paradigm offers a natural progression from the Document Web, incorporating rich multimodal data.
    • Mobile phones and their sensors are pivotal in creating next-generation social networks.
    • These networks, termed social life networks, can connect people and resources effectively.

    Conclusions:

    • The development of EventWeb and social life networks is timely and crucial.
    • Focusing on technology and infrastructure for these networks can lead to solutions for essential human problems.
    • The integration of events and sensory data represents a significant advancement in web and social network evolution.