Topic
Network theory
About: Network theory is a research topic. Over the lifetime, 2257 publications have been published within this topic receiving 109864 citations.
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09 Sep 2013
TL;DR: This paper proposes a new measure of betweenness centrality suitable for Social Internetworking Scenarios, also applicable to the case of different communities of the same social network, and has been tested in a number of synthetic networks, highlighting the significance and effectiveness.
Abstract: The importance of the betweenness centrality measure in (on-line) social networks is well known, as well as its possible applications to various domains. However, the classical notion of betweenness centrality is not able to capture the centrality of nodes w.r.t. paths crossing different social networks. In other words, it is not able to detect those nodes of a multi-social-network scenario (called Social Internetworking Scenario) which play a central role in inter-social-network information flows. In this paper, we propose a new measure of betweenness centrality suitable for Social Internetworking Scenarios, also applicable to the case of different communities of the same social network. The new measure has been tested in a number of synthetic networks, highlighting the significance and effectiveness of our proposal.
13 citations
TL;DR: A review of the modern network theory approach to microwave filter design based on Richards' transformation is given in this paper, where basic concepts are discussed, including the use of Kuroda's identities and the specialized theory of optimum filter forms.
Abstract: A review of the modern network theory approach to microwave filter design based on Richards' transformation is given. Basic concepts are discussed, including the use of Kuroda's identities and the specialized theory of optimum filter forms. Applications of the theory presented to elliptic-function filters, special rejectiontype filters, and multiplexers are given. Throughout the presentation, emphasis is placed on basic methods and techniques rather than on detailed design procedures.
13 citations
12 Sep 2011
TL;DR: A new measure for centrality is proposed, based not on connectedness but on trust, which reflects this paradigm shift in face book-style online social networks.
Abstract: Centrality is an important element of social network analysis (SNA) measuring the relative power and influence of members of a social network. In face book-style online social networks every member is potentially able to communicate with everyone else within the network. This has an important impact on centrality: the power derivable from (exclusive) connections within the social graph is reduced because network members must not necessarily follow links. In this paper we propose a new measure for centrality which reflects this paradigm shift. It is based not on connectedness but on trust. We discuss different notions of trust, introduce trust matrix and trust centrality and provide an algorithm for its calculation.
13 citations
TL;DR: In this paper, the problem of the synthesis of any linear continuous operator S on a Hilbert space is reduced to that of synthesis of a lossless operator on $H^4 $.
Abstract: Function analytic techniques are employed to unify and extend a number of results from classical network theory. In particular the problem of the synthesis of any linear continuous operator S on a Hilbert space His reduced to that of the synthesis of a lossless operator on $H^4 $. Since no specific properties of either S or H are assumed, the procedure holds for time-variable, distributed and time- discrete networks characterized in either a real or complex domain as well as the usual LLFC networks.
13 citations
TL;DR: A network theory approach to the design of such networks where the environmental changes are traffic fluctuations, topology modifications, and changes in the source of external traffic is reported on.
13 citations