Social Networks

Archaeologists in Training: Students of the British School of Archaeology in Jerusalem, 1920-1936

by Amara Thornton

This paper provides an introduction to a database of students at the British School of Archaeology in Jerusalem between 1920 and 1936, covering the tenures of BSAJ Directors John Garstang and John Crowfoot.  It highlights possible uses for the data and discusses the need for prosopography in the history of archaeology, referencing other prosopographical projects in this burgeoning field.

Compiled in the process of doctoral research, this list of students at the British School of Archaeology in Jerusalem... more Compiled in the process of doctoral research, this list of students at the British School of Archaeology in Jerusalem covers the terms of the School’s first two directors, John Garstang and John Crowfoot. It has been gathered from the School’s Minute Books, now in the archive of the Palestine Exploration Fund, and from contemporary published reports in the Palestine Exploration Quarterly. By naming and enumerating the students at this institution, still in existence today, the diaspora of and networks inherent in archaeological training during the early years of professionalization become clear. The data also includes the background and education (where known) of these prospective archaeologists, an important factor in evaluating issues of gender, class and education in the history of the discipline.

Fresh: Cellid based mobile forum for community environmental awareness

by eiman kanjo

Las casas del Deán don Juan de Córdoba: lujo y clientela en torno a un capitular del Renacimiento| Dean don Juan de Córdoba's houses: luxury and clients around a …

by Antonio J. Díaz Rodríguez

Publicado en "Hispania Sacra", 123 (2009), pp. 77-104.

A través de varias fuentes referentes a don Juan Fernández de Córdoba, deán y canónigo de la catedral de Córdoba, abad... more A través de varias fuentes referentes a don Juan Fernández de Córdoba, deán y canónigo de la catedral de Córdoba, abad y señor de Rute, se pretende recrear un ejemplo de vida cotidiana de las élites y de la red de vínculos que conformaban la sociedad cordobesa del siglo XVI.

Through different sources relating to don Juan Fernández de Córdoba, dean and canon of the cathedral of Cordova, abbot and lord of Rute, it tries to recreate an example of elite’s daily life and the mesh of links which formed the cordovan society of the 16th century.

De vasallos a señores. El servicio al señor como clave de acceso al cabildo catedralicio cordobés

by Antonio J. Díaz Rodríguez

Publicado en ANDÚJAR CASTILLO, F. Y DÍAZ LÓPEZ, J. P. (coords.), Los señoríos en la Andalucía moderna. El Marquesado de los Vélez, Instituto de Estudios Almerienses, Almería, 2007, pp. 655-667. ISBN 978-84-8108-410-8.

The maping of spanish social psychology through its conferences: A bibliometric perspective

by Juan Muñoz-Justicia

Íñiguez-Rueda, L.; Martínez, L.; Muñoz-Justicia, J.; Peñaranda, M.; Sahagún,M.; Alvarado, J. (2008). The maping of spanish social psychology through its conferences: A bibliometric perspective. The Spanish Journal of Psychology. 11(1): 137-158.

This study of papers gathered from the proceedings presented at Spanish social psychology conferences explores the use... more This study of papers gathered from the proceedings presented at Spanish social psychology conferences explores the use of bibliometrics for studying scientific disciplines. A reference database of all the papers included in the conference proceedings of events held from 1983 to 2000 was generated and classified by thematic area, paper type and author institutional affiliation. The references were laid out on contingency tables and mapped with correspondence analysis. The results show that there is a growing number of co-authored papers and a predominance of empirical over theoretical paper types. Some institutions have a higher concentration of theoretical papers while others work mostly in the areas of organizational and health psychology. In terms
of empirical papers, there is a tendency towards generating more qualitative-based studies over the span of time captured by this work. There are also a number of papers written about such areas as cultural psychology that points to the emergence of an interest in critical social psychology. Concluding remarks underline the role of conferences and scientific meetings as an important indicator of the dynamic development of a scientific discipline.

Interorganizational Information Systems Diffusion: A Social Network Perspective

by Pigni Federico

Co-authored with Laurence Saglietto, Université de Nice Sophia Antipolis-GREDEG CNRS, France

The adoption process of interorganizational information systems has been widely studied. However, little is known on... more The adoption process of interorganizational information systems has been widely studied. However, little is known on the forces actually acting against their diffusion and deployment. In this paper we suggest the use of elements derived from social network studies to explore the context and environment in which the diffusion of an IOIS takes place. We imply that the adoption of an IOIS depends both on the nature of the innovation and on its diffusion processes intended as the flow of communication within a system of interdependent actors leading to a dynamic process of social influence. Using the concept of avalanches and bifurcations as predictors of change in a nonlinear diffusion of innovation process, we explore the case of the adoption of a new HR management system after the merger of two large pharmaceutical groups providing evidence that this methodology could shed lights on elements only implied in previous studies.

How To Profit With Social Network Websites-Popular And Makes Money

by Jennifer Blakesley-Olschefski

How Many Makes a Crowd? On the Evolution of Learning as a Factor of Community Coverage

by Yaniv Altshuler

As truly ubiquitous wearable computers, mobile phones are quickly becoming the primary source for social, behavioral... more As truly ubiquitous wearable computers, mobile phones are quickly becoming the primary source for social, behavioral and environmental sensing and data collection. Today’s smartphones are equipped with increasingly more sensors and accessible data types that enable the collection of literally dozens of signals related to the phone, its user, and its environment. A great deal of research effort in academia and industry is put into mining this raw data for higher level sense-making, such as understanding user context, inferring social networks, learning individual features, and so on. In many cases, this analysis work is the result of exploratory forays and trial-and-error. In this work we investigate the properties of learning and inferences of real world data collected via mobile phones for different sizes of analyzed networks. In particular, we examine how the ability to predict individual features and social links is incrementally enhanced with the accumulation of additional data. To accomplish this, we use the Friends and Family dataset, which contains rich data signals gathered from the smartphones of 130 adult members of a young-family residential community over the course of a year and consequently has become one of the most comprehensive mobile phone datasets gathered in academia to date. Our results show that features such as ethnicity, age and marital status can be detected by analyzing social and behavioral signals. We then investigate how the prediction accuracy is increased when the users sample set grows. Finally, we propose a method for advanced prediction of the maximal learning accuracy possible for the learning task at hand, based on an initial set of measurements. These predictions have practical implications, such as influencing the design of mobile data collection campaigns or evaluating analysis strategies.

Trends Prediction Using Social Diffusion Models

by Yaniv Altshuler

The importance of the ability to predict trends in social media has been growing rapidly in the past few years with... more The importance of the ability to predict trends in social media has been growing rapidly in the past few years with the growing dominance of social media in our everyday's life. Whereas many works focus on the detection of anomalies in networks, there exist little theoretical work on the prediction of the likelihood of anomalous network pattern to globally spread and become ``trends''.
In this work we present an analytic model for the social diffusion dynamics of spreading network patterns. Our proposed method is based on information diffusion models, and is capable of predicting future trends based on the analysis of past social interactions between the community's members.
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We present an analytic lower bound for the probability that emerging trends would successfully spread through the network. We demonstrate our model using two comprehensive social datasets --- the \emph{Friends and Family} experiment that was held in MIT for over a year, where the complete activity of 140 users was analyzed, and a financial dataset containing the \mbox{complete} activities of over 1.5 million members of the \emph{eToro} social trading community.

Stealing Reality: When Criminals Become Data Scientists (or Vice Versa)

by Yaniv Altshuler

Published in IEEE Journal of Intelligent Systems

In this paper we discuss the threat of malware targeted at extracting information about the relationships in a... more In this paper we discuss the threat of malware targeted at extracting information about the relationships in a real-world social network as well as characteristic information about the individuals in the network, which we dub \emph{Stealing Reality}. We explain why \emph{Stealing Reality} attacks differ from traditional types of attacks against individuals' privacy, and discuss why their impact is significantly more dangerous than other attacks such as identity theft. We then analyze this new attack and show what an optimal attack strategy would look like. Surprisingly, it differs significantly from many conventional network attacks, as it involves extremely slow spreading patterns. We point out that besides yielding the best outcome for the attackers, such an attack may also deceive existing monitoring tools, due to its low traffic volumes and the fact that it imitates natural end-user communication patterns.

Is Obesity Contagious? The Spread of Behaviour through Social Networks

by Jenny Molloy

IN THE MIDDLES OF URBAN SPACE. The case of Critical City Upload

by Federica Timeto

Paper delivered at the ECREA temporary working group "Media & The city" workshop, Feb. 2012, unpublished. Please do not quote without permission.

TTLed RandomWalks for Collaborative Monitoring in Mobile and Social Networks

by Yaniv Altshuler

Complex network and complex systems research has been proven to have great implications in practice in many scopes... more Complex network and complex systems research has been proven to have great implications in practice in many scopes including Social Networks, Biology, Disease Propagation, and Information Security. One can use complex network theory to optimize resource locations and optimize actions.
Randomly constructed graphs and probabilistic arguments lead to important conclusions with a possible great social and financial influence.

Security in online social networks has recently become a major issue for network designers and operators. Being ``open'' in their nature and offering users the ability to compose and share information, such networks may involuntarily be used as an infection platform by viruses and other kinds of malicious software. This is specifically true for mobile social networks, that allow their users to download millions of applications created by various individual programmers, some of which may be malicious or flawed. In order to detect that an application is malicious, monitoring its operation in a real environment for a significant period of time is often required. As the computation and power resources of mobile devices are very limited, a single device can monitor only a limited number of potentially malicious applications locally. In this work, we propose an efficient collaborative monitoring scheme that harnesses the collective resources of many mobile devices, generating a ``vaccination''--like effect in the network. We suggest a new local information flooding algorithm called \emph{Time-to-Live Probabilistic Propagation} (TPP). The algorithm is implemented in any mobile device, periodically monitors one or more applications and reports its conclusions to a small number of other mobile devices, who then propagate this information onwards, whereas each message has a predefined ``Time-to-Live'' (TTL) counter. The algorithm is analyzed, and is shown to outperform the existing state of the art information propagation algorithms, in terms of convergence time as well as network overhead.
We then show both analytically and experimentally that implementing the proposed algorithm significantly reduces the number of infected mobile devices.
Finally, we analytically prove that the algorithm is tolerant to the presence of adversarial agents that inject false information into the system.

Ethical Frameworks in Business and Their Application to Social Media Marketing

by Matt Lievertz

Secure Management of Social Networks Applications Data

by Silvia Llorente

Co-authored with Jaime Delgado and Eva Rodríguez
Published in VirtualGoods 2010 Proceedings

The number of users of online social networks has increased dramatically during the last years. In turn, the number of... more The number of users of online social networks has increased dramatically during the last years. In turn, the number of applications offered by these sites, as well as their usage by social networks users has also increased significantly. These applications, developed by third parties, access users data in order to properly work. This fact poses serious privacy risks for users, since social networking sites don’t provide them mechanisms to specify their privacy preferences for the usage done by third party applications over their personal data. This paper proposes a solution based on the usage of rights expression languages to control the usage done by social networks applications of users’ personal data.

Do diverse geographical contexts lead to diverse friendship networks? A multilevel analysis of Belgian survey data

by Bram Vanhoutte

Vanhoutte, B. & Hooghe, M. (2012). Do Diverse Geographical Contexts Lead to Diverse Friendship Networks? A Multilevel Analysis of Belgian Survey Data. Journal of Intercultural Relations, forthcoming.

La protesta en la era de Facebook: Manifestaciones juveniles y uso de redes sociales en Chile 2009-2011

by Sebastián Valenzuela

Capítulo para el libro "Jóvenes, participación y consumo de medios", editado Andrés Scherman, Escuela de Periodismo de la Universidad Diego Portales, Chile. BORRADOR - NO CITAR

El presente capítulo se ordena de la siguiente forma. Primero expondré el nuevo concepto de ciudadanía que manifiestan... more El presente capítulo se ordena de la siguiente forma. Primero expondré el nuevo concepto de ciudadanía que manifiestan los ciudadanos más jóvenes. Luego examinaré el rol que ocupan las redes sociales online en el ejercicio político de este segmento, como una forma de vincular el uso de nuevas tecnologías comunicativas con la participación política. Para ilustrar estas tendencias de forma empírica, usaré los datos de las tres encuestas “Jóvenes, Participación y Consumo de Medios” realizadas en 2009, 2010 y 2011 por la Escuela de Periodismo UDP y Feedback. En la última sección planteo algunas conclusiones generales sobre la relación entre redes sociales online y movilización juvenil.

Check-in Everywhere. Places, People, Narrations, Games

by Gabriele Ferri

with Giovanni Caruso, Riccardo Fassone and Mauro Salvador

Links Reconstruction Attack Using Link Prediction Algorithms to Compromise Social Networks Privacy

by Michael Fire

Co-authored with Gilad Katz, Lior Rokach and Yuval Elovici

The explosion in the use of social networks has led to the creation of new kinds of security and privacy threats. Many... more The explosion in the use of social networks has led to the creation of new kinds of security and privacy threats. Many users are unaware of the risks involved with exposing personal information, a fact that makes social networks a “bonanza” for spammers and identity thieves. In addition, it has already been proven that even the concealment of all personal data might not be enough to provide protection, as one’s personal information can be inferred by analyzing one’s connections to other users. In this paper we present the “link reconstruction attack”, a method capable of inferring one’s connections to others with high accuracy. We show that the concealment of ones links is ineffective if not done by others in the network and present an analysis of the performance of various machine learning algorithms for link prediction inside communities.

Association patterns and foraging behaviour in natural and artificial guppy shoals

by Ben Chapman