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"While networked computational tools can assist us in expanding the scope and breadth of the sharing we do with groups and individuals, it’s our ability to navigate the new social customs and ceremonies of the Network that will determine how far all this spreads. It’s a counter-cultural idea, instead of placing the highest value on independence and individuality, it takes us down the path of interdependence and coexistence. And this brings us back to this idea of a growth medium. As the old year ends, and the new one begins, I’m imagining an as yet unpublished Whole Earth Catalog filled with tools and perspectives on how we might grow this new crop in the fields of the Network. It’s a thing that “is” what it describes."
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When you look at the imposition of the real-time social media model on to the corporate enterprise, you’ll see the same model. The valuable patterns are reserved for management. The corporate enterprise will spend a lot of money attempting to absorb this new model of television in the coming year. It will allow each corporation to become its own media company. It should be noted that a person is not ‘social’ when using corporate social media behind a firewall. An employee is a human resource to be profitably deployed, not a person. The idea isn’t to empower people, it’s to provide data to management. The pattern data belongs to the central management structure and it will be used to create and refine the workings of a well-oiled machine–of which the employee will be a replaceable part. The entire benefit accrues to the survival, growth and sustainability of the corporation, not to the individual person. Can you imagine a social media revolution within a corporation that drives the current C-level executives from power? The power structure within the corporate enterprise will use the system to maintain and refine their power, all the while, selling the use of the system as a democratization. For instance, it’s unlikely that unions would be allowed to use a real-time corporate social media system to organize workers and collect violations of work rules.
"Go to any social gathering in your neighborhood and you will notice that people interact mostly with others who are similar in terms of age, gender, race, attributes, and behaviors. This tendency of people to have similar friends—known as homophily—is one of the most pervasive features of social networks (1). A key question is how much of the homophily in behavior can be attributed to social diffusion, that is, direct causal influence of one person on another through social ties (2, 3). Results from two clever Internet experiments reported by Centola last year (4) and on page 1269 of this issue (5) shed light on how the particular arrangement of social ties promotes social diffusion."
"I am primarily interested in social networks and social psychology. How do our cognitive assets and limitations shape our social network structures? How does innovation emerge from conformity? I use a variety of experimental, quasi-experimental, and non-experimental methods to investigate these issues both with student populations and representative samples of larger groups. My research also addresses social isolation, the differences in network structures between males and females, and the amounts and types of resources that individuals can gain access to via their networks. "
"We consider a network of coupled agents playing the Prisoner's Dilemma game, in which players are allowed to pick a strategy in the interval [0,1], with 0 corresponding to defection, 1 to cooperation, and intermediate values representing mixed strategies in which each player may act as a cooperator or a defector over a large number of interactions with a certain probability. Our model is payoff-driven, i.e., we assume that the level of accumulated payoff at each node is a relevant parameter in the selection of strategies. Also, we consider that each player chooses his/her strategy in a context of limited information. We present a deterministic nonlinear model for the evolution of strategies. We show that the final strategies depend on the network structure and on the choice of the parameters of the game. We find that polarized strategies (pure cooperator/defector states) typically emerge when (i) the network connections are sparse, (ii) the network degree distribution is heterogeneous, (iii) the network is assortative, and surprisingly, (iv) the benefit of cooperation is high. "
"We study a networked version of the minority game in which agents can choose to follow the choices made by a neighbouring agent in a social network. We show that for a wide variety of networks a leadership structure always emerges, with most agents following the choice made by a few agents. We find a suitable parameterisation which highlights the universal aspects of the behaviour and which also indicates where results depend on the type of social network. "
"With the prevalence of social networks, it has become increasingly important to understand their features and limitations. It has been observed that information spreads extremely fast in social networks. We study the performance of randomized rumor spreading protocols on graphs in the preferential attachment model. The well-known random phone call model of Karp et al. (FOCS 2000) is a push-pull strategy where in each round, each vertex chooses a random neighbor and exchanges information with it. We prove the following. - The push-pull strategy delivers a message to all nodes within Θ(log n) rounds with high probability. The best known bound so far was O(log2 n). - If we slightly modify the protocol so that contacts are chosen uniformly from all neighbors but the one contacted in the previous round, then this time reduces to Θ(log n / log log n), which is the diameter of the graph. This is the first time that a sublogarithmic broadcast time is proven for a natural setting. Also, this is the first time that avoiding double-contacts reduces the run-time to a smaller order of magnitude."
" the term ‘social networking’ makes little sense if we leave out the objects that mediate the ties between people. Think about the object as the reason why people affiliate with each specific other and not just anyone. For instance, if the object is a job, it will connect me to one set of people whereas a date will link me to a radically different group. This is common sense but unfortunately it’s not included in the image of the network diagram that most people imagine when they hear the term ‘social network.’ The fallacy is to think that social networks are just made up of people. They’re not; social networks consist of people who are connected by a shared object. That’s why many sociologists, especially activity theorists, actor-network theorists and post-ANT people prefer to talk about ‘socio-material networks’, or just ‘activities’ or ‘practices’ (as I do) instead of social networks."
"When all four of these design principles are embodied in a work, another design principle emerges: resilience. Something that is distributed, transport independent, secure and open is very, very difficult to subvert, shut down, or block. It will survive all sorts of disasters. Including warfare. "
David Alderson has become a leading advocate for formulating the foundations of network science so that its predictions can be applied to real networks. He is an assistant professor in the Operations Research Department at the Naval Postgraduate School in Monterey, Calif., where he conducts research with military officer-students on the operation, attack, and defense of network infrastructure systems. We interviewed him to find out what is going on.
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