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New Features in Visual Dynamics 3.0
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Exploring default mode and information flow on the web.

Mizuki Oka1, Takashi Ikegami

  • 1Center for Knowledge Structuring, The University of Tokyo, Hongo, Tokyo, Japan. mizuki@cks.u-tokyo.ac.jp

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Summary
This summary is machine-generated.

Social networking services like Twitter and search engines like Google exhibit distinct dynamics. This study reveals information generally flows from Twitter to Google, suggesting Twitter

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Area of Science:

  • Web dynamics and information flow analysis.
  • Computational social science and network analysis.
  • Information retrieval and search engine behavior.

Background:

  • Social networking services (e.g., Twitter) and search engines (e.g., Google) are key drivers of World Wide Web (Web) dynamics.
  • These platforms influence each other, generating distinct patterns of activity.
  • Two modes of Web dynamics are identified: reactive and default.

Purpose of the Study:

  • To investigate the reactive and default modes of Web dynamics using transfer entropy (TE).
  • To analyze the information flow between Twitter and Google keyword time series.
  • To understand the network structure of information flow among Twitter keywords.

Main Methods:

  • Utilizing transfer entropy (TE) to quantify information transfer between time series.
  • Analyzing 1,000 frequent keywords from Twitter and Google over an 11-month period.
  • Constructing a network where keywords are nodes and information flow represents edges.

Main Results:

  • Information generally flows from Twitter to Google, indicating Twitter data precedes Google queries.
  • Frequent keywords on Twitter act as information sources (default mode), while infrequent keywords act as sinks (reactive mode).
  • The Web exhibits varying time resolutions in transfer entropy among Twitter keywords.

Conclusions:

  • Twitter data often contains leading information for Google search trends.
  • Frequent keywords establish a baseline Web activity (default mode), influencing less frequent ones (reactive mode).
  • Further research is needed on the time-resolution-dependent nature of Web dynamics.