ソーシャルネットワークにおけるアイデンティティと検索
Duncan J Watts1, Peter Sheridan Dodds, M E J Newman
1Department of Sociology, Columbia University, New York, NY 10027, USA. djw24@columbia.edu
まとめ
ソーシャルネットワークは驚くほど検索しやすいので,メッセージは遠くの個人に効率的に届くことができます. この研究は,さまざまなネットワーク検索課題に適用可能な,個人のアイデンティティと社会的次元を使用して検索可能性をモデル化しています.
科学分野:
- ソーシャルネットワークの分析
- 情報科学は情報科学である.
- コンピュータサイエンス コンピュータサイエンス
背景:
- ソーシャルネットワークは"検索可能性"という新興の性質を示しています.
- 個人は,いくつかのステップで,知人ネットワークを通じて,遠くのターゲットへのメッセージをルーティングすることができます.
- 既存のモデルは,この検索可能性現象を完全に説明できません.
研究 の 目的:
- ソーシャルネットワークの検索可能性を説明するモデルを提示する.
- 検索可能なネットワークと検索方法を定義する.
- ソーシャルネットワークを超えたアプリケーションを探求する.
主な方法:
- 認識可能な個人アイデンティティに基づいたモデルを開発した.
- 社会的次元を超えた特徴の集合として定義された個人のアイデンティティ.
- 定義された検索可能なネットワーク内で検索する方法を提案した.
主要な成果:
- ネットワーク検索の鍵となる"認識可能な個人アイデンティティ"を特定しました.
- この検索方法に対応できるネットワークのクラスを定義しました.
- 様々なネットワーク検索問題に対するモデルの潜在的適用性を実証した.
結論:
- ソーシャルネットワークの検索可能性は,アイデンティティベースのルーティングで説明できます.
- 提案されたモデルは,ネットワーク検索を理解し,実行するための枠組みを提供します.
- 原則は,ピアツーピアネットワーク,ワールド・ワイド・ウェブ,分散データベースにおけるデータの位置づけにも適用されます.
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