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関連する概念動画

Social Scripts02:10

Social Scripts

People tend to know what behavior is expected of them in specific, familiar settings. A script is a person’s knowledge about the sequence of events expected in a specific setting (Schank & Abelson, 1977). Essentially, scripts are a particular kind of schema, one containing default values for the features within an event. In the restaurant example, the script's features include the props (e.g., tables, menu, food, and money), the roles to be played (e.g., customer and waiter), the opening...
Impact of Social Context on Individuals01:21

Impact of Social Context on Individuals

Social psychology examines how the real or imagined presence of others influences individuals' thoughts, feelings, and behaviors. A key concept in this field is the role of social context in shaping behavior. The same individual may act differently depending on the social setting, due to the varying expectations and norms associated with each environment. This context-dependent behavior illustrates the influence of social roles, which prescribe appropriate conduct in specific situations.Social...
Impact of Individuals on Individuals01:30

Impact of Individuals on Individuals

Human behavior is intricately shaped by social influences that arise from interactions with others in diverse contexts. These influences not only mold beliefs and attitudes but also drive the regulation of behaviors through both direct communication and observational learning. The study of these processes falls within the domain of social psychology, which seeks to understand how individuals are affected by and affect those around them.Mechanisms of Social InfluenceDirect social influence...
Causes of Social Behavior II: Cognitive Processes01:15

Causes of Social Behavior II: Cognitive Processes

Cognitive processes affect social behavior by guiding how individuals perceive, interpret, and respond to social stimuli. These mental processes enable individuals to assess others' behaviors, attribute causes to their actions, and form expectations based on past experiences.Causes of Behavior and Social JudgmentsIndividuals determine the causes of others' behaviors by distinguishing between personal traits and external circumstances. For example, if a friend frequently arrives late, an...
Social Exchange Theory01:26

Social Exchange Theory

As formulated by John Thibaut and Harold Kelley, Social Exchange Theory explains human relationships as economic-like exchanges that maximize rewards and minimize costs. This theory suggests that individuals engage in relationships to gain benefits and reduce burdens, similar to economic transactions. It has been widely applied to various types of relationships, including romantic, professional, and social interactions.Rewards and Costs in RelationshipsRelationship rewards include emotional...
Social Exchange Theory02:06

Social Exchange Theory

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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関連する実験動画

Updated: Jun 21, 2026

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

技術社会システムの行動を予測する.

Alessandro Vespignani1

  • 1Center for Complex Networks and Systems Research, School of Informatics and Computing, and Pervasive Technology Institute, Indiana University, Bloomington, IN 47408, USA. alexv@indiana.edu

Science (New York, N.Y.)
|July 25, 2009
PubMed
まとめ

インターネットやWiFiのようなテクノ・ソーシャル・システムは,複雑で相互に繋がっています. 複雑なネットワークモデリングの進歩は,これらのシステムを理解するための予測力を提供します.

科学分野:

  • 複雑なシステム科学 複雑なシステム科学
  • ネットワーク科学 ネットワーク科学
  • 社会技術的システム

背景:

  • 現代のインフラストラクチャは,ますます相互に繋がっている技術社会システムである.
  • これらのシステムは,社会的要因によって駆動される相互運用する技術層を伴う.
  • 例えば,インターネット,ワールドワイドウェブ,WiFi,交通網などです.

研究 の 目的:

  • テクノ・ソーシャル・ネットワークの多次元性と複雑さを強調する.
  • これらの複雑なネットワークの理解と管理の重要性を強調する.
  • 予測力のための新しいデータとモデリングのアプローチの潜在能力を探求する.

主な方法:

  • 複雑なネットワークの理論とモデリングの進歩を活用する.
  • 分析のために新しいデータのアクセシビリティを利用する.
  • テクノ・ソーシャル・システムを理解するための統合的枠組みの開発.

主要な成果:

  • マルチスケールな性質と複雑さを重要な特徴として特定した.
  • テクノ・ソーシャル・システムの相互接続性が高まっていることを示した.
  • よりよい理解と管理のための枠組みを確立しました.

関連する実験動画

Last Updated: Jun 21, 2026

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

結論:

  • 統合的フレームワークは,真の予測力を得ることに私たちを近づけます.
  • 複雑なネットワークを理解することは,テクノ・ソーシャル・システムの管理の鍵です.
  • 将来の研究は,これらのシステムの予測能力をさらに高めることができます.