The structure and dynamics of multilayer networks

In the past years, network theory has successfully characterized the interaction among the constituents of a variety of complex systems, ranging from biological to technological, and social systems. However, up until recently, attention was almost exclusively given to networks in which all components were treated on equivalent footing, while neglecting all the extra information about the temporal- or context-related properties of the interactions under study. Only in the last years, taking advantage of the enhanced resolution in real data sets, network scientists have directed their interest to the multiplex character of real-world systems, and explicitly considered the time-varying and multilayer nature of networks. We offer here a comprehensive review on both structural and dynamical organization of graphs made of diverse relationships (layers) between its constituents, and cover several relevant issues, from a full redefinition of the basic structural measures, to understanding how the multilayer nature of the network affects processes and dynamics.Comment: In Press, Accepted Manuscript, Physics Reports 201

The UCF Report, Vol. 13 No. 22, May 29, 1991

Book thieves nabbed thanks to professors; Phones get face-lift: System upgrade will increase lines; Faculty, staff paper begins new schedule; It\u27s Always Spring in the Arboretum; Chinese exhibit; Deadline nears; Rape awareness

Spartan Daily, October 14, 1981

Volume 77, Issue 30https://scholarworks.sjsu.edu/spartandaily/6806/thumbnail.jp

Ampthill Neighborhood Market Analysis & Community Strengthening Plan

This is a Strengthening Plan in support of a future commercial corridor development in the Ampthill Neighborhood of Chesterfield County. It is a part of a larger strategy along Jefferson Davis Highway to strengthen ties between neighborhoods and businesses. The Plan encourages economic and community development to create a welcoming destination. A foundation for economic development results and a community road map to assist in navigating discussions, leveraging assets and upgrading transportation infrastructure. This traditionally working-class neighborhood south of Richmond has experienced major demographic change. For others to venture into the area and “get to know it”, Ampthill may need to get to know more about itself and its newest neighbors. To accomplish this, a market analysis, evaluation of existing property conditions and area perception assessments were conducted. The market analysis determined that Retail and Food businesses had 9 areas of unmet demand. Community organizational involvement to champion and sustain development is encouraged. Theory provides a philosophical foundation for achieving collaborative. The four points of the Main Street America Transformation Strategies of Economic Vitality, Design, Organization, and Promotion are used as an organizational framework to guide Plan Goals, Recommendations and Implementation. An Asset-Based Community Development approach is proposed as a tool to identify this changing community’s strengths. Community growth and development opportunities exist in Ampthill. They can be realized as residents and businesses, together, leverage their shared assets to cultivate community cohesion. A more inviting commercial corridor emerges that encourages others to… Get to know Ampthill

Spartan Daily, November 30, 2004

Volume 123, Issue 61https://scholarworks.sjsu.edu/spartandaily/10065/thumbnail.jp

Lanthorn, vol. 39, no. 29, April 7, 2005

Lanthorn is Grand Valley State\u27s student newspaper, published from 1968 to the present

The BG News February 13, 2002

The BGSU campus student newspaper February 13, 2002. Volume 89 - Issue 21https://scholarworks.bgsu.edu/bg-news/7914/thumbnail.jp

The structure and dynamics of multiplex networks

PhDNetwork science has provided useful answers to research questions in many fields, from biology to social science, from ecology to urban science. The first analyses of networked systems focused on binary networks, where only the topology of the connections were considered. Soon network scientists started considering weighted networks, to represent interactions with different strength, cost, or distance in space and time. Also, connections are not fixed but change over time. This is why in more recent years, a lot of attention has been devoted to temporal or time-varying networks. We now entered the era of multi-layer networks, or multiplex networks, relational systems whose units are connected by different relationships, with links of distinct types embedded in different layers. Multiplexity has been observed in many contexts, from social network analysis to economics, medicine and ecology. The new challenge consists in applying the new tools of multiplex theory to unveil the richness associated to this novel level of complexity. How do agents organise their interactions across layers? How does this affect the dynamics of the system? In the first part of the thesis, we provide a mathematical framework to deal with multiplex networks. We suggest metrics to unveil multiplexity from basic node, layer and edge properties to more complicated structure at the micro- and meso-scale, such as motifs, communities and cores. Measures are validated through the analysis of real-world systems such as social and collaboration networks, transportation systems and the human brain. In the second part of the thesis we focus on dynamical processes taking place on top of multiplex networks, namely biased random walks, opinion dynamics, cultural dynamics and evolutionary game theory. All these examples show how multiplexity is crucial to determine the emergence of unexpected and instrinsically multiplex collective behavior, opening novel perspectives for the field of non-linear dynamics on networks.European Union project LASAGN

Revisiting the form and function of conflict: Neurobiological, psychological, and cultural mechanisms for attack and defense within and between groups

Conflict can profoundly affect individuals and their groups. Oftentimes, conflict involves a clash between one side seeking change and increased gains through victory and the other side defending the status quo and protecting against loss and defeat. However, theory and empirical research largely neglected these conflicts between attackers and defenders, and the strategic, social, and psychological consequences of attack and defense remain poorly understood. To fill this void, we model (1) the clashing of attack and defense as games of strategy and reveal that (2) attack benefits from mismatching its target's level of defense, whereas defense benefits from matching the attacker's competitiveness. This suggests that (3) attack recruits neuroendocrine pathways underlying behavioral activation and overconfidence, whereas defense invokes neural networks for behavioral inhibition, vigilant scanning, and hostile attributions; and that (4) people invest less in attack than defense, and attack often fails. Finally, we propose that (5) in intergroup conflict, out-group attack needs institutional arrangements that motivate and coordinate collective action, whereas in-group defense benefits from endogenously emerging in-group identification. We discuss how games of attack and defense may have shaped human capacities for prosociality and aggression, and how third parties can regulate such conflicts and reduce their waste. Keywords: behavioral game theory; biobehavioral approach–avoidance; coevolution of prosociality and aggression; conflict; conflict intervention; cultural institutions; intergroup relations; psychological adaptations