The regulation of internet interconnection : assessing network market power
Author(s)
Maida, Elisabeth M. (Elisabeth Marigo)
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Other Contributors
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Advisor
David D. Clark.
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Interconnection agreements in the telecommunications industry have always been constrained by regulation. Internet interconnection has not received the same level of scrutiny. Recent debates regarding proposed mergers, network neutrality, Internet peering, and last mile competition have generated much discussion about whether Internet interconnection regulation is warranted. In order to determine whether such regulation is necessary, policymakers need appropriate metrics to help gauge a network provider's market power. Since Internet interconnection agreements are typically not published publicly, policymakers must instead rely on proxy metrics and inferred interconnection relationships. Alessio D'Ignazio and Emanuele Giovannetti have attempted to address this challenge by proposing a standard set of metrics that are based on and assessed using network topology data. They suggest two metrics, referred to as customer cone and betweenness, as proxies for market size and market power. This thesis focuses on the efficacy of the proposed customer cone and betweenness metrics as proxies for network market size and market power.
Description
Thesis (S.M. in Technology and Policy)--Massachusetts Institute of Technology, Engineering Systems Division, Technology and Policy Program; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2013. Cataloged from PDF version of thesis. Includes bibliographical references (p. 59-64).
Date issued
2013Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Massachusetts Institute of Technology. Engineering Systems Division; Technology and Policy ProgramPublisher
Massachusetts Institute of Technology
Keywords
Engineering Systems Division., Technology and Policy Program., Electrical Engineering and Computer Science.