This paper presents the first results of the author's PhD research on how network theory can help musicology to understand the formation and transmission of musical repertories in the sixteenth century.

The social climate and cultural atmosphere of the San Francisco Bay Area in the late 70's early 80's plus the emergence of the nascent microcomputer industry made for a social network and approach that fostered the creation of a new type of collaborative electronic music ensemble with techniques that have come to be known as “Computer Music Network”. A transformation from initial heterogeneous to a more homogeneous underlying paradigm has brought with it aesthetic questions about the reason and evolution of this new genre.

We present a model of style emergence based on flocking models. The system stabilizes in states with several non-interacting genres or style clusters, and the delayed dynamic yields more styles than the non-delayed ones.

Social and Human Sciences have recently discovered the potential of a hybrid research process, where the specificity of design knowledge and the peculiarity of design thinking can be exploited. Two ongoing experiences demonstrate how - after a first stage where Communication Design has been placed at the end of a linear sequence from data to prototypes - a more integrated and collaborative research process can be established, building on the proclivity of humanities scholars to mingle thinking and making.

Networks found in nature, culture and technology are dynamic in multiple ways. This poses several challenges to the field of networks visualization that, in general, has been representing networks with fixed layouts. By depicting networks statically, not only are the dynamic properties lost, it is also difficult to read basic properties such as the number of connections between nodes. The author proposes a series of interactive techniques to visualize networks, aimed to reveal their dynamic and organic nature.

This article uses mathematical and computational techniques to reconstruct and analyze the social and textual organization of the underground community of Protestants living in England during the reign of Mary I from 289 surviving letters.

Despite the increasing number of film rankings that are created on the basis of economic considerations, critical acclaim, or personal taste, cinema lacks the means to quantify the long-term success of films. The authors therefore propose a novel approach to the analysis of cinematic influences which is based on a film citation network that is extracted from a large data base. The resulting top list of films is more diverse in terms of the main creators, genre, actors, and technical specifications than a representative selection of personal favorite lists, voting lists, lists of individual experts, or lists deduced from expert polls.

This paper analyzes the co-occurrence network of saints in the corpus of images of St. Francis from 1230 to 1320 AD. The network of saints grows by preferential attachment reflecting the intercessory function of the artwork. The network, therefore, highlights important connections between intellectual and physical culture.

Much has been said and written about the two-culture paradigm separating the world between artists and scientists. On one side of this debate are those who accept this cultural art/science divide. On the other side are those who reject it altogether to promote a better integration of artscience practices. In this paper, the author presents a network analysis of 40 papers submitted to the SEAD Network for Science, Engineering, Arts and Design and tests the hypothesis that the papers submitted by artists and scientists are disconnected in the corresponding graph, as predicted by the art/science separation. Rejecting this hypothesis will provide support for the alternative artscience integration.

Visualization is now a vital component of the biological discovery process. This article presents visualization design studies as a promising approach for creating effective, visualization tools for biological data.

The authors investigate regional variations in culinary culture by constructing a flavor network of food ingredients, based on shared flavor compounds, and comparing this network to recipe data. They show that Western and Eastern cuisines differ in their compound sharing patterns. The findings show, in particular, that only Western cuisines support the hypothesis that foods sharing flavor compounds are more likely to taste well together. Using additional data the authors investigate the validity of this hypothesis further and suggest a new, more specific version of the hypothesis, which holds for a particular subset of compounds.

This paper introduces a method for applying network analysis to the sociological study of literary history. Focusing on “little magazines” and poetry journals in the U.S., Japan, and China, the authors utilize bibliographic records to construct weighted, bipartite graphs of poets and journals linked by publication. Through visual and quantitative analysis of the resulting networks, the authors aim to augment traditional hermeneutics with empirical measures that isolate aspects of the social structures from which literary modernism emerged.

The question of how humans learn to navigate in a new environment has mainly been studied in geographically embedded environments. Next to navigation in these concrete networks, people also need to understand and navigate abstract networks like those which connect concepts with each other. With a simple game the author and colleagues analyzed how humans explored an abstract word network and how they learned to navigate it extremely fast after a short period of learning.

Text re-use has been in the humanist's interest for centuries. Collecting parallel texts implies giving a certain information, e.g. a moral statement or report on wars and conflicts, a kind of witness. The more independent parallel texts are collected, the more feasible the information is. The contribution reported here is on automatic detection of text re-use and the usage of a text re-use network to derive a Cultural Heritage Aware PageRank technique given ancient text re-uses like quotations, paraphrases, and allusions.

Network intelligence today is only available for scientists, engineers, government and business institutions. However today we live an interconnected and complex life more than ever. We should all have access to network intelligence and move beyond its intended goals. Therefore what we need are easy-to-use and accessible tools, having many examples and platforms for collaboration. This way non-experts too could traverse the finest complexity and enjoy the merits of network intelligence.

Social media, like Twitter, have been widely used for exchanging information, opinions and emotions about events happening across the world. The authors introduce a new visualization tool for tracing the process of information diffusion on social media in real time. The design highlights the social, spatiotemporal processes of diffusion based on a sunflower metaphor whose seeds are often dispersed far away. The design facilitates an understanding of when, where and how a piece of information is dispersed for large-scale events, including campaigns and earthquakes, as a tool witnessing today's information consumption and dispersion in the wild.

ORBIS is a geospatial transportation network model of the Roman world, simulating historical travel patterns by modeling the major roads, rivers, and sea routes active during the Roman Empire. With such a model, historians can more accurately examine not only individual route patterns, but also emergent structures of the network as a whole. By defining traditional world systems networks as a particular movement profile for application on a geospatial transportation network, we can begin to see regions of the network using community analysis and analyze those regions for historical patterns.

Text corpora of testimony to survival and other traumatic events have expanded because of more efficacious and available data collection tools. New methods mobilizing controlled vocabularies, relational data schema, and natural language processing both enable these fragmentary collections of witnessing and offer ways to make them readable. “06.213” describes the background for these methods as relates to testimonial corpora and the framework of a new text analytics project focused on organizing the unstructured fragments of a collection around reader-specified conceptual foci.

This article discusses the networks of prostitution, in particular those that can be extracted from online data, and what they can teach us about prostitution itself, disease spreading, cultural differences and a broader spectrum of socio-economical phenomena.