Hot off the Presses: The Network of Global Corporate Control

The network of global corporate control

A new article by Stefania Vitali, James B. Glattfelder, and Stefano Battiston posted on arXiv.org explores the international ownership networks of corporations.  The paper investigates network topology and lists core economic actors.

The bow-tie structure of international corporate control

The bow-tie structure of international corporate control networks

From the authors:

The structure of the control network of transnational corporations affects global market competition and financial stability. So far, only small national samples were studied and there was no appropriate methodology to assess control globally. We present the first investigation of the architecture of the international ownership network, along with the computation of the control held by each global player. We find that transnational corporations form a giant bow-tie structure and that a large portion of control flows to a small tightly-knit core of financial institutions. This core can be seen as an economic “super-entity” that raises new important issues both for researchers and policy makers.

New tools for citation network mapping

JStor: Academic Fields Citation networks have long been known as useful tools of representation and data analysis in scientometric research.  A team of scholars coming from biology and physics have now set out to build a suite of citation mapping and recommendation services for everyday use.

Read the article in the Chronicle of Higher Education:

Citation by Citation, New Maps Chart Hot Research and Scholarship’s Hidden Terrain

On a related note: check out VOSviewer, one existing software for analysis & visualization of bibliometric networks. As of last week, the new version 1.4 is out, offering bug fixes and better support for Pajek files.

Good introductory videos on network analysis

Mark Newman is a physics professor at the University of Michigan and the author of a comprehensive textbook on network analysis (Networks: An Introduction, 784 pages) He has studied networks in fields ranging from sociology and economics to computer science and biology. In 2010,  he gave three talks on network analysis as part of the Santa Fe Institute‘s 2010 Ulam Lecture series.

We recommend all three for people interested in finding more about relational thinking and network structures.

2010 Ulam Lecture – The Connected World

2010 Ulam Lecture – What Networks Can Tell Us about the World

2010 Ulam Lecture – Using Networks to Make Predictions

The Coevolution of Multiplex Communication Networks in Organizational Communities

Journal of CommunicationThis issue of Journal of Communication features a new article by USC Annenberg PhD graduate Seungyoon Lee, currently assistant professor at Purdue University,  and USC professor Peter Monge, PI of the Annenberg Networks Network. The article studies co-evolution of communication networks in ICT4D projects and is interesting both theoretically and methodologically.

Read the abstract below – or go to the full JoC article.

A color version of the paper is also available here.

 

From the authors:

This research examines the evolutionary patterns and determinants of multiplex organizational communication networks. Based on the data between 1997 and 2005 collected from the records of development projects in the field of Information and Communication Technology for Development, the study demonstrates that dynamics in one network are significant drivers of tie formation in the other network at both dyadic and triadic levels. In particular, results show that the effects of common third-party ties and structural embeddedness exist across multiplex networks. Further, the study suggests that resource similarity of organizational dyads, resource width, and organizational centrality have positive effects on the propensity for multiplex ties. These results have implications for organizations’ communication networking strategies in a wide variety of organizational communities.

2011 ACM Web Science Conference

The ACM 3rd International Conference on Web Science recently concluded in Koblenz, Germany, June 14 to June 17, 2011. The conference, also supported by the International Communication Association and the ACM Special Interest Group on Hypertext, Hypermedia, and the Web, featured paper presentations, speakers, and panels, of which more information may be found on the conference website, http://www.websci11.org/. From the conference organizers:

“Web Science is concerned with the full scope of socio-technical relationships that are engaged in the World Wide Web. It is based on the notion that understanding the Web involves not only an analysis of its architecture and applications, but also insight into the people, organizations, policies, and economics that are affected by and subsumed within it. As such Web Science, and thus this conference, is inherently interdisciplinary and integrates computer and information sciences with a multitude of disciplines including sociology, economics, political science, law, management, language and communication, geography and psychology. This conference is unique in the manner in which it brings these disciplines together in creative and critical dialogue.”

Video lectures from the conference may be viewed at http://videolectures.net/acmwebsci2011_koblenz/. Next year’s Web Science conference will be held at Northwestern University, June 21 – June 24, 2012.

Web Science Meets Network Science

Collaboration network of workshop participants.

The 3rd International Workshop on Network Theory, “Web Science Meets Network Science,” was held March 4 – 6, 2011 at Northwestern University. Sponsored by ANN, the Science of Networks in Communities Laboratory (SONIC), at Northwestern, and the Northwestern Institute on Complex Systems (NICO), the workshop featured ten presentations by a diverse group of scientists working at the intersection of Web science and network science. In an article about the workshop in the May 2011 issue of Communications of the ACM, Alex Wright writes:

“The workshop organizers hoped to frame a new research agenda by leveraging the commonalities and distinctive contributions of Web science and network science, and to formulate questions of interest to both communities. The two-day conference covered a wide range of broadly related topics such as debating the merits of network science’s ‘pure’ scientific approach vs. the more applied, engineering-oriented tactics of Web science; analyzing the effects of scale on network behaviors; exploring questions of causality, correlation, and inference; and discussing the possibility of a Web index, an idea currently being promoted by [Tim] Berners-Lee. Looking ahead, plenty of room exists for continuing dialogue between the two camps, who will almost certainly continue to probe each other’s boundaries while searching for common ground.”

For a list of presentations, photos, and additional information about the workshop, please see the ANN Conference page on this site.

Who Connects with Whom: A Social Network Analysis
of an Online Open Source Software Community

A new article by ANN members Cindy Shen and Peter Monge looks into the dynamics of collaboration in an online software community. Read the full text in the June 2011 edition of First Monday.  Read a news article about the research posted on the University of Texas at Dallas News Center Web site. From the authors:

Peter Monge Cindy ShenBy examining “who connects with whom” in an online community using social network analysis, this study tests the social drivers that shape the collaboration dynamics among a group of participants from SourceForge, the largest open source community on the Web. The formation of the online social network was explored by testing two distinct network attachment logics: strategic selection and homophily. Both logics received some support. Taken together, the results are suggestive of a “performance-based clustering” phenomenon within the OSS online community in which most collaborations involve accomplished developers, and novice developers tend to partner with less accomplished and less experienced peers.