networks and netw...
Follow
Find
5.4K views | +0 today
 
Scooped by june holley
onto networks and network weaving
Scoop.it!

A Network Way of Working: A Compilation of Considerations about Effectiveness in Networks

A Network Way of Working: A Compilation of Considerations about Effectiveness in Networks | networks and network weaving | Scoop.it
Networks aren’t new, but the role they play in our working lives is expanding significantly through technology. The potential for impact is great, but newly enhanced networks require new strategies.
more...
Ivon Prefontaine's curator insight, July 18, 2014 9:33 PM

This is an excellent article with a detailed bibliography. It would be worthwhile for School managers to read and begin to realize networks are more organic and complex than just externally ordering them and insisting they happen.

networks and network weaving
How networks can transform our world
Curated by june holley
Your new post is loading...
Your new post is loading...
Scooped by june holley
Scoop.it!

Women over 55 best suited to lead transformational change, finds PwC - People Management Magazine Online

Women over 55 best suited to lead transformational change, finds PwC
more...
No comment yet.
Scooped by june holley
Scoop.it!

About this book

About this book | networks and network weaving | Scoop.it
Slow Democracy helps citizens reinvigorate their communities by
reconnecting with democracy. It is based on the book Slow Democracy by
Susan Clark and Woden Teachout (Chelsea Green Publishing, 2012).
more...
No comment yet.
Scooped by june holley
Scoop.it!

Goodbye to the genius who changed the way we think (and you didn’t even know it)

Goodbye to the genius who changed the way we think (and you didn’t even know it) | networks and network weaving | Scoop.it
John Holland was an innovator in understanding "complex adaptive systems."
more...
No comment yet.
Scooped by june holley
Scoop.it!

Complex Adaptive Systems: 2 Complex Systems - YouTube

In this module we will be trying to define what exactly a complex system is, we will firstly talk about systems in general before going on to look at complex...
more...
No comment yet.
Scooped by june holley
Scoop.it!

▶ How social networks make us smarter | Alex 'Sandy' Pentland | TEDxBeaconStreet - YouTube

By harnessing the power of our collective intelligence, can humans as a species work together to implement thoughtful solutions in an age of connectivity? In...
more...
No comment yet.
Scooped by june holley
Scoop.it!

'Smaller is smarter' in superspreading of influence in social network

'Smaller is smarter' in superspreading of influence in social network | networks and network weaving | Scoop.it
A study by City College of New York physicists Flaviano Morone and Hernán A. Makse suggests that "smaller is smarter" when it comes to influential superspreaders of information in social networks. This is a major shift from the widely held view that "bigger is better," and could have important consequences for a broad range of social, natural and living networked systems.
more...
No comment yet.
Rescooped by june holley from Papers
Scoop.it!

The success of complex networks at criticality

In spiking neural networks an action potential could in principle trigger subsequent spikes in the neighbourhood of the initial neuron. A successful spike is that which trigger subsequent spikes giving rise to cascading behaviour within the system. In this study we introduce a metric to assess the success of spikes emitted by integrate-and-fire neurons arranged in complex topologies and whose collective behaviour is undergoing a phase transition that is identified by neuronal avalanches that become clusters of activation whose distribution of sizes can be approximated by a power-law. In numerical simulations we report that scale-free networks with the small-world property is the structure in which neurons possess more successful spikes. As well, we conclude both analytically and in numerical simulations that fully-connected networks are structures in which neurons perform worse. Additionally, we study how the small-world property affects spiking behaviour and its success in scale-free networks.


The success of complex networks at criticality
Victor Hernandez-Urbina, Tom L. Underwood, J. Michael Herrmann

http://arxiv.org/abs/1507.07884


Via Complexity Digest
more...
No comment yet.
Rescooped by june holley from Papers
Scoop.it!

Temporal Pattern of Communication Spike Trains in Twitter: How Often, Who Interacts with Whom?

We evaluate complex time series of online user communication in Twitter social network. We construct spike trains of each user participating any interaction with any other users in the network. Retweet a message, mention a user in a message, and reply to a message are types of interaction observed in Twitter. By applying the local variation originally established for neuron spike trains, we quantify the temporal behavior of active and passive but popular users separately. We show that the local variation of active users give bursts independent of the activation frequency. On the other hand, the local variation of popular users present irregular random (Poisson) patterns and the resultant temporal patterns are highly influenced by the frequency of the attention, e.g. bursts for less popular users, but randomly distributed temporarily uncorrelated spikes for most popular users. To understand the coincidence in the temporal patterns of two distinct interactions, we propose linear correlations of the local variation of the filtered spikes based on concerned interactions. We conclude that the local variations of the retweet and mention spike trains provide a good agreement only for most popular users, which suggests that the dynamics of mention a user together with that of retweet is a better identity of popular users instead of only paying attention of the dynamics of retweet, a conventional measure of user popularity.


Temporal Pattern of Communication Spike Trains in Twitter: How Often, Who Interacts with Whom?
Ceyda Sanlı, Renaud Lambiotte

http://arxiv.org/abs/1508.00540


Via Complexity Digest
more...
No comment yet.
Rescooped by june holley from Papers
Scoop.it!

The New Laws of Explosive Networks

The New Laws of Explosive Networks | networks and network weaving | Scoop.it

Researchers are uncovering the hidden laws that reveal how the Internet grows, how viruses spread, and how financial bubbles burst.


https://www.quantamagazine.org/20150714-explosive-percolation-networks/ 


Via Complexity Digest
more...
No comment yet.
Scooped by june holley
Scoop.it!

How To Scale P2P, Sustainability and Social Economy Innovations ? | P2P Foundation

How To Scale P2P, Sustainability and Social Economy Innovations ? | P2P Foundation | networks and network weaving | Scoop.it
“We have collected a range of analytical and descriptive understandings of how ideas and practices get scaled”. I see a huge number of innovations passing over my desk nearly every day, and yet, precious few of them spread or scale so that they can have a real impact. Why do we have a open source …
more...
No comment yet.
Scooped by june holley
Scoop.it!

Towards a new theory of change - Cognitive Edge

Towards a new theory of change - Cognitive Edge | networks and network weaving | Scoop.it
real change in organisations is when you change the way that people connect, and the most profound way in which that connection can be achieved is through small actions that change perceptions in an evolutionary way.
june holley's insight:

"real change in organisations is when you change the way that people connect, and the most profound way in which that connection can be achieved is through small actions that change perceptions in an evolutionary way."

more...
No comment yet.
Rescooped by june holley from Supports for Leadership
Scoop.it!

An Update: Mapping out Transformative Processes - Stages (1), Adaptive Pushback, Fallacies & Escape Mechanisms (2) and Tools & Methods for Course Correction (3)

An Update: Mapping out Transformative Processes - Stages  (1),  Adaptive Pushback, Fallacies & Escape Mechanisms (2) and Tools & Methods for Course Correction (3) | networks and network weaving | Scoop.it
The following slides picture transformative processes in their stages, the adaptive pushback and escape mechanisms that usually get triggered on the process path, as well as a variety of tools, met...

Via Anne Caspari, Mark E. Deschaine, PhD
more...
Anne Caspari's curator insight, August 27, 4:49 PM

what are your thoughts? 

Scooped by june holley
Scoop.it!

The richness of network mapping: some examples of interventions to strengthen your network | Ari Sahagún

The richness of network mapping: some examples of interventions to strengthen your network | Ari Sahagún | networks and network weaving | Scoop.it
more...
No comment yet.
Scooped by june holley
Scoop.it!

Complex Systems Design: 15 Design Thinking - YouTube

Design thinking is a design process that enables us to solve complex problems. It combines deep end-user experience, systems thinking, iterative rapid protot...
more...
No comment yet.
Scooped by june holley
Scoop.it!

The Digital CultureSHIFT: From Scale to Power - The Center for Media Justice

The Digital CultureSHIFT: From Scale to Power - The Center for Media Justice | networks and network weaving | Scoop.it
How the Internet is Shaping Social Change, and Social Change is Shaping the Internet Summary As activism for police accountability, fair wages, just immigration, and more takes center stage — social justice movements of the 21st century are using technology to achieve greater scale and reach wider audiences. But are these digital strategies building power Read more
more...
No comment yet.
Scooped by june holley
Scoop.it!

Networks and the Nature of the Firm — The WTF Economy — Medium

Networks and the Nature of the Firm - The WTF Economy - Medium
The discussion around companies like Uber and Airbnb is too narrow. The issue isn’t just employment, but a huge economic shift led by…
june holley's insight:

The non-profit world needs to develop thee kinds of platforms!

more...
No comment yet.
Scooped by june holley
Scoop.it!

Resilience — a fully voluntary wealth sharing network — Medium

Resilience — a fully voluntary wealth sharing network — Medium | networks and network weaving | Scoop.it
Johan Nygren, med.school drop-off, natural born creative
more...
No comment yet.
Scooped by june holley
Scoop.it!

Engage: How Funders Can Support and Leverage Networks for Social Impact

Engage: How Funders Can Support and Leverage Networks for Social Impact | networks and network weaving | Scoop.it

Click here to edit the title

more...
No comment yet.
Rescooped by june holley from Papers
Scoop.it!

Quantifying Controversy in Social Media

Which topics spark the most heated debates in social media? Identifying these topics is a first step towards creating systems which pierce echo chambers. In this paper, we perform the first systematic methodological study of controversy detection using social-media network structure and content.
Unlike previous work, rather than identifying controversy in a single hand-picked topic and use domain-specific knowledge, we focus on comparing topics in any domain. Our approach to quantifying controversy is a graph-based three-stage pipeline, which involves (i) building a conversation graph about a topic, which represents alignment of opinion among users; (ii) partitioning the conversation graph to identify potential sides of controversy; and (iii) measuring the amount of controversy from characteristics of the graph.
We perform an extensive comparison of controversy measures, as well as graph building approaches and data sources. We use both controversial and non-controversial topics on Twitter, as well as other external datasets. We find that our new random-walk-based measure outperforms existing ones in capturing the intuitive notion of controversy, and show that content features are vastly less helpful in this task.


Quantifying Controversy in Social Media
Kiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis, Michael Mathioudakis

http://arxiv.org/abs/1507.05224


Via Complexity Digest
more...
No comment yet.
Rescooped by june holley from Papers
Scoop.it!

From Anti-Conformism to Extremism

We here present a model of the dynamics of extremism based on opinion dynamics in order to understand the circumstances which favour its emergence and development in large fractions of the general public. Our model is based on the bounded confidence hypothesis and on the evolution of initially anti-conformist agents to extreme positions. Numerical analyses demonstrate that a few extremists are able to drag a large fraction of conformists agents to their position provided that they express theirs views more often than the conformists. The most influential parameter controlling the outcome of the dynamics is the uncertainty of the conformist agents; the higher their uncertainty, the higher is the influence of anti-conformists. Systematic scans of the parameter space show the existence of two regime transitions, one following the conformists uncertainty parameter and the other one following the anti-conformism strength.


From Anti-Conformism to Extremism

Gérard Weisbuch (2015)
Journal of Artificial Societies and Social Simulation 18 (3) 1
http://jasss.soc.surrey.ac.uk/18/3/1.html 


Via Complexity Digest
more...
No comment yet.
Rescooped by june holley from Papers
Scoop.it!

Exploring Temporal Networks with Greedy Walks

Temporal networks come with a wide variety of heterogeneities, from burstiness of event sequences to correlations between timingsof node and link activations. In this paper, we set to explore the latter by using greedy walks as probes of temporal network structure. Given a temporal network (a sequence of contacts), greedy walks proceed from node to node by always following the first available contact. Because of this, their structure is particularly sensitive to temporal-topological patterns involving repeated contacts between sets of nodes. This becomes evident in their small coverage per step as compared to a temporal reference model -- in empirical temporal networks, greedy walks often get stuck within small sets of nodes because of correlated contact patterns. While this may also happen in static networks that have pronounced community structure, the use of the temporal reference model takes the underlying static network structure out of the equation and indicates that there is a purely temporal reason for the observations. Further analysis of the structure of greedy walks indicates that burst trains, sequences of repeated contacts between node pairs, are the dominant factor. However, there are larger patterns too, as shown with non-backtracking greedy walks. We proceed further to study the entropy rates of greedy walks, and show that the sequences of visited nodes are more structured and predictable in original data as compared to temporally uncorrelated references. Taken together, these results indicate a richness of correlated temporal-topological patterns in temporal networks.


Exploring Temporal Networks with Greedy Walks
Jari Saramaki, Petter Holme

http://arxiv.org/abs/1508.00693


Via Complexity Digest
more...
No comment yet.
Scooped by june holley
Scoop.it!

▶ Raissa D'Souza on COMPLEXITY - YouTube

http://fqxi.org Raissa D'Souza at the FQXi SETTING TIME ARIGHT conference, an interdisciplinary meeting investigating the nature of time.
more...
No comment yet.
Scooped by june holley
Scoop.it!

Networks, Collective Impact and Waking Up to Whiteness

Networks, Collective Impact and Waking Up to Whiteness | networks and network weaving | Scoop.it
"Processes aimed at racial equity change can overlook the privileged side of inequity." -Gita Gulati-Partee and Maggie Potapchuk, "Paying Attention to White Culture and Privilege: A Missing Link to...
more...
No comment yet.