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Scooped by
june holley
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Scooped by
june holley
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We know, you know, everybody knows that social change is never down to just one person. Many hands are needed to make real, long lasting transformation. Yet so often, the organisational processes and structures we fall back on reinforce top-down models of leadership, rather than collective endeavours.
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june holley
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🏗️ Building Belonging in Networks: From Inner Work to Liberatory Relationships – Zoom, Wed 5 Jun 2024 - 🍃 Towards Leadership that Connects We all yearn for belonging and connection and understand that work is needed in both our relationships and ourselves. This bonfire session invites you to explore some of the barriers and pathways to the deeper relationships we nee
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june holley
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📖 How to Tell Stories that Captivate Your Network Members, Funders & Partners – Zoom, Wed 5 Jun 2024 - 📖 Unlock the Power of Storytelling Stories have the unique power to humanize abstract data, making complex networks and systems relatable and understandable. They reveal intricate interconnections, showing how elements influence each other and contribute t
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june holley
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📣 Funding Social Movements to Accelerate Global Change – Zoom, Thu 23 May 2024 - Investing in movements is not just about supporting individual causes and campaigns; it's about nurturing the very fabric of social change itself. Movements serve as dynamic catalysts for accelerating social and systemic change. They embody the collective will of communities
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june holley
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Indy Johar’s Dark Matter Labs - and Imandeep Kaur’s Civic Square - have been constant inspirations to the Alternative Global since our foundation. They are naturally cosmolocal , in our terms, because they constantly think of what the localised, strong-community responses to global trends wou
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june holley
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The case for relationship-centred communities, organisations and systems What follows is an excerpt from the The Relationships Project’s Case Maker, Putting Relationships First IF YOU WANT TO…
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june holley
from Papers
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Guim Aguadé-Gorgorió, Jean-François Arnoldi, Matthieu Barbier, Sonia Kéfi Ecology Letters Natural systems are built from multiple interconnected units, making their dynamics, functioning and fragility notoriously hard to predict. A fragility scenario of particular relevance concerns so-called regime shifts: abrupt transitions from healthy to degraded ecosystem states. An explanation for these shifts is that they arise as transitions between alternative stable states, a process that is well-understood in few-species models. However, how multistability upscales with system complexity remains a debated question. Here, we identify that four different multistability regimes generically emerge in models of species-rich communities and other archetypical complex biological systems assuming random interactions. Across the studied models, each regime consistently emerges under a specific interaction scheme and leaves a distinct set of fingerprints in terms of the number of observed states, their species richness and their response to perturbations. Our results help clarify the conditions and types of multistability that can be expected to occur in complex ecological communities. Read the full article at: onlinelibrary.wiley.com
Via Complexity Digest
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Rescooped by
june holley
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Mohsen Mosleh, Rocky Cole, David G Rand Author Notes PNAS Nexus, Volume 3, Issue 3, March 2024, pgae111, There is considerable concern about users posting misinformation and harmful language on social media. Substantial—yet largely distinct—bodies of research have studied these two kinds of problematic content. Here, we shed light on both research streams by examining the relationship between the sharing of misinformation and the use of harmful language. We do so by creating and analyzing a dataset of 8,687,758 posts from N = 6,832 Twitter (now called X) users, and a dataset of N = 14,617 true and false headlines from professional fact-checking websites. Our analyses reveal substantial positive associations between misinformation and harmful language. On average, Twitter posts containing links to lower-quality news outlets also contain more harmful language (β = 0.10); and false headlines contain more harmful language than true headlines (β = 0.19). Additionally, Twitter users who share links to lower-quality news sources also use more harmful language—even in non-news posts that are unrelated to (mis)information (β = 0.13). These consistent findings across different datasets and levels of analysis suggest that misinformation and harmful language are related in important ways, rather than being distinct phenomena. At the same, however, the strength of associations is not sufficiently high to make the presence of harmful language a useful diagnostic for information quality: most low-quality information does not contain harmful language, and a considerable fraction of high-quality information does contain harmful language. Overall, our results underscore important opportunities to integrate these largely disconnected strands of research and understand their psychological connections. Read the full article at: academic.oup.com
Via Complexity Digest
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Scooped by
june holley
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We enable personal and collective agency to cultivate change in the world with a multi-method approach to systems change learning - with networks, organisations and individuals.
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june holley
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Rescooped by
june holley
from Papers
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Xiao Yang, Réka Albert, Lauren Molloy Elreda, & Nilam Ram Social influence processes can induce desired or undesired behavior change in individual members of a group. Empirical modeling of group processes and the design of network-based interventions meant to promote desired behavior change is somewhat limited be-cause the models often assume that the social influence is assimilative only and that the networks are not fully connected. We introduce a Boolean network method that addresses these two limitations. In line with dynamical systems principles, temporal changes in group members’ behavior are modeled as a Boolean network that also allows for application of control theory design of group management strategies that might direct the groups to-wards desired behavior. To illustrate the utility of the method for psychology, we apply the Boolean network method to empirical data of individuals’ self-disclosure behavior in multi-week therapy groups (N = 135, 18 groups, T = 10 ∼ 16 weeks). Empirical results provide descrip-tion of each group member’s pattern of self-disclosure and social influence and identification of group-specific network control strategies that would elicit self-disclosure from the majori-ty of the group. Of the 18 group models, 16 included both assimilative and repulsive social in-fluence. Useful control strategies were not needed for 10 already well-functioning groups, were identified for 6 groups, and were not available for 2 groups. The findings illustrate the utility of the Boolean network method for modeling the simultaneous existence of assimila-tive and repulsive social influence processes in small groups, and developing strategies that may direct groups toward desired states without manipulating social ties. Read the full article at: advances.in
Via Complexity Digest
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Scooped by
june holley
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We study the spreading dynamics of content on networks. To do this, we use a model in which content spreads through a bounded-confidence mechanism. In a bounded-confidence model (BCM) of opinion dynamics, the agents of a network have continuous-valued opinions, which they adjust when they interact with agents whose opinions are sufficiently close to theirs. The employed content-spread model introduces a twist into BCMs by using bounded confidence for the content spread itself. To study the spread of content, we define an analogue of the basic reproduction number from disease dynamics that we call an \emph{opinion reproduction number}. A critical value of the opinion reproduction number indicates whether or not there is an ``infodemic'' (i.e., a large content-spreading cascade) of content that reflects a particular opinion. By determining this critical value, one can determine whether or not an opinion will die off or propagate widely as a cascade in a population of agents. Using configuration-model networks, we quantify the size and shape of content dissemination using a variety of summary statistics, and we illustrate how network structure and spreading model parameters affect these statistics. We find that content spreads most widely when the agents have large expected mean degree or large receptiveness to content. When the amount of content spread only slightly exceeds the critical opinion reproduction number (i.e., the infodemic threshold), there can be longer dissemination trees than when the expected mean degree or receptiveness is larger, even though the total number of content shares is smaller.
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june holley
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A cross-post from the endlessly inventive Dark Matter Labs, launching their “Property and Beyond” Lab . Crisis and/of Property The concept of property is deeply embedded in our modern socio-economic systems. So much so that it is often viewed as sacrosanct, a near-natural law-like means to d
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june holley
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This article is part of Illuminate’s Equitable Horizon Blog Series. Find more from this series HERE. Introduction The paper is written from the perspectives and experiences of three Black wom…
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june holley
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⚖️ Embodying Social Justice, Diversity, Equity & Inclusion - Somatic Practices for Collective Liberation – Zoom, Tue 28 May 2024 - 🔥 Experiencing the Power of Somatic Practices In this bonfire circle, we will dive into Diversity, Equity, and Inclusion (DEI) by moving through our relationship to social justice. And when we say “moving through”, we mean it! Through a variety of somatic practices, we will lea
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june holley
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The Networks Festival is a month-long gathering in May for funders, convenors, network leaders, companies, and governments come together to deepen our understanding of how to drive social change through networks – and practice centering relationships to transform our world.
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Scooped by
june holley
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📣 Funding Social Movements to Accelerate Global Change – Zoom, Thu 23 May 2024 - Investing in movements is not just about supporting individual causes and campaigns; it's about nurturing the very fabric of social change itself. Movements serve as dynamic catalysts for accelerating social and systemic change. They embody the collective will of communities
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Scooped by
june holley
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Cities are defined by various criteria, from political units to built areas identified in satellite images to how people move across geographical space. The proliferation of cell phones around the globe may offer a more complete picture of people's mobility.
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Rescooped by
june holley
from Papers
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Andrea Civilini, Onkar Sadekar, Federico Battiston, Jesús Gómez-Gardeñes, and Vito Latora Phys. Rev. Lett. 132, 167401 Understanding how cooperative behaviors can emerge from competitive interactions is an open problem in biology and social sciences. While interactions are usually modeled as pairwise networks, the units of many real-world systems can also interact in groups of three or more. Here, we introduce a general framework to extend pairwise games to higher-order networks. By studying social dilemmas on hypergraphs with a tunable structure, we find an explosive transition to cooperation triggered by a critical number of higher-order games. The associated bistable regime implies that an initial critical mass of cooperators is also required for the emergence of prosocial behavior. Our results show that higher-order interactions provide a novel explanation for the survival of cooperation. Read the full article at: link.aps.org
Via Complexity Digest
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Rescooped by
june holley
from Papers
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Laurent Hébert-Dufresne, Antoine Allard, Joshua Garland, Elizabeth A. Hobson & Luis Zaman npj Complexity volume 1, Article number: 4 (2024) Complexity science studies systems where large numbers of components or subsystems, at times of a different nature, combine to produce surprising emergent phenomena apparent at multiple scales. It is these phenomena, hidden behind the often deceptively simple rules that govern individual components, that best define complex systems. Since these behaviors of interest arise from interactions between parts, complex systems are not counterparts to simple systems but rather to separable ones. Their study therefore often requires a collaborative approach to science, studying a problem across scales and disciplinary domains. However, this approach introduces challenges into the ways collaborations function across traditionally-siloed disciplines, and in the publication of complexity science, which often does not fall cleanly into disciplinary journals. In this editorial, we provide our view of the current state of complex systems research and explain how this new journal will fill an important niche for researchers working on these ideas. Read the full article at: www.nature.com
Via Complexity Digest
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june holley
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Francis Heylighen, Shima Beigi, Clement Vidal This report is a first survey of a new, evolutionary narrative, called the Third Story, intended to replace and complement the earlier religious (First) and mechanistic (Second) worldviews. We first argue that the confusions created by a world that is ever more volatile, uncertain, complex and ambiguous (VUCA) have eroded people’s sense of coherence, that is, the degree to which they experience the world as comprehensible, manageable and meaningful. The First Story provides meaning and values, but its descriptions no longer provide an accurate understanding of how the universe functions. The Second Story, which sees the universe as a clockwork mechanism governed by the laws of nature, provides more accurate predictions that allow us to build powerful technologies. However, it does not provide meaning or values. The Third Story sees the universe as self-organizing towards increasing complexity and consciousness, subsequently producing matter, life, mind and society. It understands the fundamental mechanism of evolution as mutual adaptation or “fit” between interacting systems, thus generating synergetic wholes that in turn interact, so as integrate into even more complex wholes. Its implicit value is the search for fitness and synergy, thus inviting individuals to work towards a further integration of the noosphere, i.e. the planetary superorganism formed by humanity, its technological extensions, and the ecosystem. Read the full article at: researchportal.vub.be
Via Complexity Digest
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june holley
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April Charlo and Erika Koskela, co-founders of Snqʷeyłmistn, a Salish organization in Montana, USA and Samantha Slade, author of Going Horizontal, co-founder of Percolab, are collaborating to create…
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june holley
from Papers
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HONGZHONG DENG, JI LI, HONGQIAN WU, and BINGFENG GE Advances in Complex SystemsVol. 26, No. 07n08, 2350011 System structure can affect or decide the system function. Many pioneers have analyzed the impact of system’s macro-statistical characteristics, such as degree distribution and giant component, on system performance. But only few research works were conducted on the relation of mesoscopic structure and agent property with system task performance. In this paper, we designed a scenario that, in a multiagent system, agents will try their best to form a qualified team to fulfill more system tasks under the requirements from agent property, structure and task. The theoretical and simulation results show that the agent link network, agent properties and task requirement will co-affect the dynamic team formation and at last have serious effects on a system’s task completion ratio and performance. Some factors such as network density and task introduction period have positive influence. Task execution time and team size have negative influence. Some factors show a counter-intuitive influence. The clustering coefficient has not much influence as people expected and the task publicity time isn’t bigger the better. Notably, system performance is affected by the coupling effect, instead of the independent effects of all factors. The effect of system structure on system function conditionally relies on the support from agent ability and task requirement. Read the full article at: www.worldscientific.com
Via Complexity Digest
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Rescooped by
june holley
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Michele Avalle, Niccolò Di Marco, Gabriele Etta, Emanuele Sangiorgio, Shayan Alipour, Anita Bonetti, Lorenzo Alvisi, Antonio Scala, Andrea Baronchelli, Matteo Cinelli & Walter Quattrociocchi Nature (2024) Growing concern surrounds the impact of social media platforms on public discourse1,2,3,4 and their influence on social dynamics5,6,7,8,9, especially in the context of toxicity10,11,12. Here, to better understand these phenomena, we use a comparative approach to isolate human behavioural patterns across multiple social media platforms. In particular, we analyse conversations in different online communities, focusing on identifying consistent patterns of toxic content. Drawing from an extensive dataset that spans eight platforms over 34 years—from Usenet to contemporary social media—our findings show consistent conversation patterns and user behaviour, irrespective of the platform, topic or time. Notably, although long conversations consistently exhibit higher toxicity, toxic language does not invariably discourage people from participating in a conversation, and toxicity does not necessarily escalate as discussions evolve. Our analysis suggests that debates and contrasting sentiments among users significantly contribute to more intense and hostile discussions. Moreover, the persistence of these patterns across three decades, despite changes in platforms and societal norms, underscores the pivotal role of human behaviour in shaping online discourse. Read the full article at: www.nature.com
Via Complexity Digest
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Nice work for generating simple insights from complex systems