The deep-rooted problems we face need groundbreaking solutions. Movements must travel beyond the question of “What do we do now?” to “Who do we need to be — as individuals and a movement — to bring forth the transformation we seek?” Join Move to End Violence and Movement Strategy Center for any or all of our …
Trees are networkers. Far from the solitary splendour of the ancient old stager, it turns out that trees communicate with one another through their roots. Underground fungi — mycorrhizae associated with the root network — form a sort of subterranean internet that connects trees, passing messages and even nourishment between neighbours. Nor do trees passively tolerate the onslaught of insects on their tasty young leaves. Chemical signals carried on the breeze from infested trees cause forest fellows to crank up their own chemical armouries. It's not a case of every tree for itself: the forest can behave as a single entity when it yields a great crop of acorns or beechnuts, or lies fallow for a year. Trees share a common response to weather and nourishment.
Dendrology: The community of trees Richard Fortey Nature 537, 306 (15 September 2016) doi:10.1038/537306a
Ties between individuals on a social networks can represent different dimensions of interactions, and the spreading of information and innovations on these networks could potentially be driven by some dimensions more than by others. In this paper we investigate this issue by studying the diffusion of microfinance within rural India villages and accounting for the whole multilayer structure of the underlying social networks. We define a new measure of node centrality, diffusion versatility, and show that this is a better predictor of microfinance participation rate than previously introduced measures defined on aggregated single-layer social networks. Moreover, we untangle the role played by each social dimension and find that the most prominent role is played by the nodes that are central on layers concerned with trust, shedding new light on the key triggers of the diffusion of microfinance.
Untangling the role of diverse social dimensions in the diffusion of microfinance Elisa Omodei, Alex Arenas
Part of Sustainable Economies Law Center's approach in catalyzing a more just and resilient society is to be the change we want to see. We have adopted principles that distribute "ownership" throughout the organization, allow for more dignified livelihoods, expand access to our #legal services, and #empower a new generation of #grassroots legal experts. In our effort towards #radical transparency, we provide on our website the #Sustainable #Economies #Law #Center Organizational Policies
For our vision, The Institute for Research in Complexity and Society is dedicated to applying insights from the study of complexity science to social problems faced by the world community. What is unique about our institute is that we address these issues in a manner that is rigorous theoretically, is supported empirically, and applied pragmatically. That is why we bring together scientists, mathematicians, practitioners, organizational leaders, and technological pioneers in a collaborative setting unhampered by the downsides of traditional academic and government organizational cultures.
Our mission is to engage with communities of practice, small and large organizations, and social enterprises directly, and to do so in ways that improve their effectiveness and at the same time further the development of theory and research methods generalizable to in other milieus as a means to further the accumulation and measurement of social value.
When small companies grow rapidly, the culture can get lost in a sea of new people, processes, geographic expansion, aggressive growth targets, and the avalanche of changes needed to scale. The culture can become a boat anchor, dragging behind the desired direction and pulling people in the wrong direction. But when senior leaders make a conscious decision to keep the best of the cultural elements that brought the company success in the first place, great things can happen.
Cafe Rio Mexican Grill did just that. In 2011, Dave Gagnon, a former Burger King senior vice president of North America company operations and training, took over as CEO and COO. Andy Hooper, who had led the culture-shaping work at Burger King, joined Cafe Rio as chief people officer. The organization had an outstanding culture, and was in its third year of nearly double-digit comparable sales growth. But to grow rapidly, the executive leadership team needed to codify the culture that was largely built on ‘tribal knowledge transfer’ to scale for national expansion.
We study the dynamic network of real world person-to-person interactions between approximately 1,000 individuals with 5-min resolution across several months. There is currently no coherent theoretical framework for summarizing the tens of thousands of interactions per day in this complex network, but here we show that at the right temporal resolution, social groups can be identified directly. We outline and validate a framework that enables us to study the statistical properties of individual social events as well as series of meetings across weeks and months. Representing the dynamic network as sequences of such meetings reduces the complexity of the system dramatically. We illustrate the usefulness of the framework by investigating the predictability of human social activity.
Fundamental structures of dynamic social networks Vedran Sekara, Arkadiusz Stopczynski, and Sune Lehmann
“Big Bet” philanthropy has gotten a lot of press lately, and, indeed, the dollar amounts here are somewhat staggering in the nonprofit world, but the Blue Meridian initiative has some special design aspects that deserve a thoughtful response from readers.
Language change is a complex social phenomenon, revealing pathways of communication and sociocultural influence. But, while language change has long been a topic of study in sociolinguistics, traditional linguistic research methods rely on circumstantial evidence, estimating the direction of change from differences between older and younger speakers. In this paper, we use a data set of several million Twitter users to track language changes in progress. First, we show that language change can be viewed as a form of social influence: we observe complex contagion for phonetic spellings and "netspeak" abbreviations (e.g., lol), but not for older dialect markers from spoken language. Next, we test whether specific types of social network connections are more influential than others, using a parametric Hawkes process model. We find that tie strength plays an important role: densely embedded social ties are significantly better conduits of linguistic influence. Geographic locality appears to play a more limited role: we find relatively little evidence to support the hypothesis that individuals are more influenced by geographically local social ties, even in their usage of geographical dialect markers.
The Social Dynamics of Language Change in Online Networks Rahul Goel, Sandeep Soni, Naman Goyal, John Paparrizos, Hanna Wallach, Fernando Diaz, Jacob Eisenstein
We put high hopes on analyzing big data, but we failed as we haven´t found solutions to the essential problems of our society. Questions like: What is the superior way of organisation of our society in the future or what’s the role of democratic principles in the future? - need to be asked and solved. In the past globalisation, optimization, administration, regulation have served us well and brought us to the level where we are but apparently as the economic situation shows now, we are in a stagnation and all those principles have reached their limits. We need new success principles. ‘I think those success principles are co-creation, co-evolution, collective intelligence, self-organization and self-regulation.’ - says Prof. Dr. Dirk Helbing, Computational Social Science, Department of Humanities, Social and Political Sciences, ETH/Zurich
Embracing Complexity: Strategic Perspectives for an Age of Turbulence [Jean G. Boulton, Peter M. Allen, Cliff Bowman] on Amazon.com. *FREE* shipping on qualifying offers. The book describes what it means to say the world is complex and explores what that means for managers
Complex network growth across diverse fields of science is hypothesized to be driven in the main by a combination of preferential attachment and node fitness processes. For measuring the respective influences of these processes, previous approaches make strong and untested assumptions on the functional forms of either the preferential attachment function or fitness function or both. We introduce a Bayesian statistical method called PAFit to estimate preferential attachment and node fitness without imposing such functional constraints that works by maximizing a log-likelihood function with suitably added regularization terms. We use PAFit to investigate the interplay between preferential attachment and node fitness processes in a Facebook wall-post network. While we uncover evidence for both preferential attachment and node fitness, thus validating the hypothesis that these processes together drive complex network evolution, we also find that node fitness plays the bigger role in determining the degree of a node. This is the first validation of its kind on real-world network data. But surprisingly the rate of preferential attachment is found to deviate from the conventional log-linear form when node fitness is taken into account. The proposed method is implemented in the R package PAFit.
Joint estimation of preferential attachment and node fitness in growing complex networks Thong Pham, Paul Sheridan & Hidetoshi Shimodaira Scientific Reports 6, Article number: 32558 (2016) doi:10.1038/srep32558
Spontaneous synchronization has long served as a paradigm for behavioral uniformity that can emerge from interactions in complex systems. When the interacting entities are identical and their coupling patterns are also identical, the complete synchronization of the entire network is the state inheriting the system symmetry. As in other systems subject to symmetry breaking, such symmetric states are not always stable. Here, we report on the discovery of the converse of symmetry breaking—the scenario in which complete synchronization is not stable for identically coupled identical oscillators but becomes stable when, and only when, the oscillator parameters are judiciously tuned to nonidentical values, thereby breaking the system symmetry to preserve the state symmetry. Aside from demonstrating that diversity can facilitate and even be required for uniformity and consensus, this suggests a mechanism for convergent forms of pattern formation in which initially asymmetric patterns evolve into symmetric ones.
Symmetric States Requiring System Asymmetry Takashi Nishikawa and Adilson E. Motter Phys. Rev. Lett. 117, 114101
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