An introduction to social network data analytics (Aggarwal, 2012)
“The advent of online social networks has been one of the most exciting events in this decade. Many popular online social networks such as Twitter, LinkedIn, and Facebook have become increasingly popular. In addition, a number of multimedia networks such as Flickr have also seen an increasing level of popularity in recent years. Many such social networks are extremely rich in content, and they typically contain a tremendous amount of content and linkage data which can be leveraged for analysis. The linkage data is essentially the graph structure of the social network and the communications between entities; whereas the content data contains the text, images and other multimedia data in the network. The richness of this network provides unprecedented opportunities for data analytics in the context of social networks. This book provides a data-centric view of online social networks; a topic which has been missing from much of the literature”
Unveiling the complexity of human mobility by querying and mining massive trajectory data (2011)
The technologies of mobile communications pervade our society and wireless networks sense the movement of people, generating large volumes of mobility data, such as mobile phone call records and Global Positioning System (GPS) tracks. In this work, we illustrate the striking analytical power of massive collections of trajectory data in unveiling the complexity of human mobility. We present the results of a large-scale experiment, based on the detailed trajectories of tens of thousands private cars with on-board GPS receivers, tracked during weeks of ordinary mobile activity. We illustrate the knowledge discovery process that, based on these data, addresses some fundamental questions of mobility analysts: what are the frequent patterns of people’s travels? How big attractors and extraordinary events in???uence mobility? How to predict areas of dense traf???c in the near future? How to characterize traf???c jams and congestions?
A framework for Big Data Governance (image by Big Data Governance, Sunil Soares, 2013)
FROM PUNCHED CARDS TO “BIG DATA”: A SOCIAL HISTORY OF DATABASE POPULISM (Kevin Driscoll, 2012)
Since the diffusion of the punched card tabulator following the 1890 U.S. Census, mass-scale information processing has been alternately a site of opportunity, ambivalence and fear in the American imagination. While large bureaucracies have tended to deploy database technology toward purposes of surveillance and control, the rise of personal computing made databases accessible to individuals and small businesses for the first time. Today, the massive collection of trace communication data by public and private institutions has renewed popular anxiety about the role of the database in society. This essay traces the social history of database technology across three periods that represent significant changes in the accessibility and infrastructure of information processing systems. Although many proposed uses of “big data” seem to threaten individual privacy, a largely-forgotten database populism from the 1970s and 1980s suggests that a reclamation of small-scale data processing might lead to sharper popular critique in the future.
“THE EMERGENCE OF MODULATION” (UNCODING DIGITAL, 2013)
“One very notable effect is that individuals, when using digital media, are always ‘seen’ and, as such, are subject to examination on a constant basis. In the case of a frequent flyer program, for example, a customer’s actions – especially those that generate points such as grocery shopping, flying, using their phone through a specific provider, and so on – are constantly observed and recorded, and the customer is constantly tested to check if they pass the test for moving up or down a rank, of which they are constantly reminded. In the context of digital technologies, in other words, no action is not subject to constant examination in some respect”
WHAT IS THE SOCIAL IN SOCIAL MEDIA? (Lovink, 2012, E-Flux)
“[…] These algorithmic calculations run in the background and measure every single click, touch of the keyboard, and use of a keyword. For Baudrillard, this “positive absorption into the transparency of the computer” is even worse than alienation. The public has become a database full of users. The “evil genius of the social” has no other way to express itself than to go back to the streets and squares, guided and witnessed by the multitude of viewpoints that tweeting smartphones and recording digital cameras produce. In the same way that Baudrillard questioned the outcome of opinion polls as a subtle revenge of the common people on the political/media system, we should question the objective truth of the so-called Big Data originating from Google, Twitter, and Facebook. Most of the traffic on social media originates from millions of computers talking to each other”
UNCODING THE DIGITAL (Savat, 2013)
“In my view, the mechanisms and instruments that Foucault identified as critical to the functioning of the disciplinary machine have not ceased to exist or broken down. In fact, the modes of observation by which discipline as a mode of power functions now operate more forcefully than ever, whether this be through the use of social media like Facebook, GPS location via mobile phone, radio frequency identification (RFID), or the collection of consumer data in our day-to-day activities”