Alireza Mansouri and Fattaneh Taghiyareh: Human interactions and opinion exchanges lead to social opinion dynamics, which is well described by opinion formation models. In these models, a random parameter is usually considered as the system noise, indicating the individual's inexplicable opinion changes. This noise could be an indicator of any other influential factors, such as public media, affects, and emotions. We study phase transitions, changes from one social phase to another, for various noise levels in a discrete opinion formation model based on the social impact theory with a scale-free random network as its interaction network topology. We also generate another similar model using the concept of social power based on the agents' node degrees in the interaction network as an estimation for their persuasiveness and supportiveness strengths and compare both models from phase transition viewpoint. We show by agent-based simulation and analytical considerations how opinion phases, including majority and non-majority, are formed in terms of the initial population of agents in opinion groups and noise levels. Two factors affect the system phase in equilibrium when the noise level increases: breaking up more segregated groups and dominance of stochastic behavior of the agents on their deterministic behavior. In the high enough noise levels, the system reaches a non-majority phase in equilibrium, regardless of the initial combination of opinion groups. In relatively low noise levels, the original model and the model whose agents' strengths are proportional to their centrality have different behaviors. The presence of a few high-connected influential leaders in the latter model consequences a different behavior in reaching equilibrium phase and different thresholds of noise levels for phase transitions.

Bruno Pietzsch, Sebastian Fiedler, Kai G. Mertens, Markus Richter, Cédric Scherer, Kirana Widyastuti, Marie-Christin Wimmler, Liubov Zakharova and Uta Berger: The recent advancement of agent-based modeling is characterized by higher demands on the parameterization, evaluation and documentation of these computationally expensive models. Accordingly, there is also a growing request for "easy to go" applications just mimicking the input-output behavior of such models. Metamodels are being increasingly used for these tasks. In this paper, we provide an overview of common metamodel types and the purposes of their usage in an agent-based modeling context. To guide modelers in the selection and application of metamodels for their own needs, we further assessed their implementation effort and performance. We performed a literature research in January 2019 using four different databases. Five different terms paraphrasing metamodels (approximation, emulator, meta-model, metamodel and surrogate) were used to capture the whole range of relevant literature in all disciplines. All metamodel applications found were then categorized into specific metamodel types and rated by different junior and senior researches from varying disciplines (including forest sciences, landscape ecology, or economics) regarding the implementation effort and performance. Specifically, we captured the metamodel performance according to (i) the consideration of uncertainties, (ii) the suitability assessment provided by the authors for the particular purpose, and (iii) the number of valuation criteria provided for suitability assessment. We selected 40 distinct metamodel applications from studies published in peer-reviewed journals from 2005 to 2019. These were used for the sensitivity analysis, calibration and upscaling of agent-based models, as well to mimic their prediction for different scenarios. This review provides information about the most applicable metamodel types for each purpose and forms a first guidance for the implementation and validation of metamodels for agent-based models.

Katarzyna Growiec, Jakub Growiec and Bogumił Kamiński: We study the impact of endogenous creation and destruction of social ties in an artificial society on aggregate outcomes such as generalized trust, willingness to cooperate, social utility and economic performance. To this end we put forward a computational multi-agent model where agents of overlapping generations interact in a dynamically evolving social network. In the model, four distinct dimensions of individuals’ social capital: degree, centrality, heterophilous and homophilous interactions, determine their generalized trust and willingness to cooperate, altogether helping them achieve certain levels of social utility (i.e., utility from social contacts) and economic performance. We find that the stationary state of the simulated social network exhibits realistic small-world topology. We also observe that societies whose social networks are relatively frequently reconfigured, display relatively higher generalized trust, willingness to cooperate, and economic performance – at the cost of lower social utility. Similar outcomes are found for societies where social tie dissolution is relatively weakly linked to family closeness.

Szymon Talaga and Andrzej Nowak: Real-world social networks often exhibit high levels of clustering, positive degree assortativity, short average path lengths (small-world property) and right-skewed but rarely power law degree distributions. On the other hand homophily, defined as the propensity of similar agents to connect to each other, is one of the most fundamental social processes observed in many human and animal societies. In this paper we examine the extent to which homophily is sufficient to produce the typical structural properties of social networks. To do so, we conduct a simulation study based on the Social Distance Attachment (SDA) model, a particular kind of Random Geometric Graph (RGG), in which nodes are embedded in a social space and connection probabilities depend functionally on distances between nodes. We derive the form of the model from first principles based on existing analytical results and argue that the mathematical construction of RGGs corresponds directly to the homophily principle, so they provide a good model for it. We find that homophily, especially when combined with a random edge rewiring, is sufficient to reproduce many of the characteristic features of social networks. Additionally, we devise a hybrid model combining SDA with the configuration model that allows generating homophilic networks with arbitrary degree sequences and we use it to study interactions of homophily with processes imposing constraints on degree distributions. We show that the effects of homophily on clustering are robust with respect to distribution constraints, while degree assortativity can be highly dependent on the particular kind of enforced degree sequence.

Myong-Hun Chang and Joseph Harrington: The dynamics of social stigma are explored in the context of diffusion models. Our focus is on exploring the dynamic process through which the behavior of individuals and the interpersonal relationships among them influence the macro-social attitude towards the stigma. We find that a norm of tolerance is best promoted when the population comprises both those whose conduct is driven by compassion for the stigmatized and those whose focus is on conforming with others in their social networks. A second finding is that less insular social networks encourage de-stigmatization when most people are compassionate, but it is instead more insularity that promotes tolerance when society is dominated by conformity.

Volker Grimm, Steven F. Railsback, Christian E. Vincenot, Uta Berger, Cara Gallagher, Donald L. DeAngelis, Bruce Edmonds, Jiaqi Ge, Jarl Giske, Jürgen Groeneveld, Alice S.A. Johnston, Alexander Milles, Jacob Nabe-Nielsen, J. Gareth Polhill, Viktoriia Radchuk, Marie-Sophie Rohwäder, Richard A. Stillman, Jan C. Thiele and Daniel Ayllón: The Overview, Design concepts and Details (ODD) protocol for describing Individual- and Agent-Based Models (ABMs) is now widely accepted and used to document such models in journal articles. As a standardized document for providing a consistent, logical and readable account of the structure and dynamics of ABMs, some research groups also find it useful as a workflow for model design. Even so, there are still limitations to ODD that obstruct its more widespread adoption. Such limitations are discussed and addressed in this paper: the limited availability of guidance on how to use ODD; the length of ODD documents; limitations of ODD for highly complex models; lack of sufficient details of many ODDs to enable reimplementation without access to the model code; and the lack of provision for sections in the document structure covering model design rationale, the model’s underlying narrative, and the means by which the model’s fitness for purpose is evaluated. We document the steps we have taken to provide better guidance on: structuring complex ODDs and an ODD summary for inclusion in a journal article (with full details in supplementary material; Table 1); using ODD to point readers to relevant sections of the model code; update the document structure to include sections on model rationale and evaluation. We also further advocate the need for standard descriptions of simulation experiments and argue that ODD can in principle be used for any type of simulation model. Thereby ODD would provide a lingua franca for simulation modelling.

Flaminio Squazzoni, J. Gareth Polhill, Bruce Edmonds, Petra Ahrweiler, Patrycja Antosz, Geeske Scholz, Émile Chappin, Melania Borit, Harko Verhagen, Francesca Giardini and Nigel Gilbert: The COVID-19 pandemic is causing a dramatic loss of lives worldwide, challenging the sustainability of our health care systems, threatening economic meltdown, and putting pressure on the mental health of individuals (due to social distancing and lock-down measures). The pandemic is also posing severe challenges to the scientific community, with scholars under pressure to respond to policymakers’ demands for advice despite the absence of adequate, trusted data. Understanding the pandemic requires fine-grained data representing specific local conditions and the social reactions of individuals. While experts have built simulation models to estimate disease trajectories that may be enough to guide decision-makers to formulate policy measures to limit the epidemic, they do not cover the full behavioural and social complexity of societies under pandemic crisis. Modelling that has such a large potential impact upon people’s lives is a great responsibility. This paper calls on the scientific community to improve the transparency, access, and rigour of their models. It also calls on stakeholders to improve the rapidity with which data from trusted sources are released to the community (in a fully responsible manner). Responding to the pandemic is a stress test of our collaborative capacity and the social/economic value of research.

Given the Indian economy could well contract in 2020-21,following the disruption to the pandemic, even bigger companies might enourage some employees to work from home. For small businesses there might be no other option.

The concern is genuine as new hotspots are emerging in districts like Idukki and Kottayam that were earlier in the green zone and considered safe.

Using R programming, marketers can create a marketing mix model to determine how sustainable their audience channels are, and make better ad spend decisions. Here's how

Only the Countryman now is available with a diesel engine in India while all other models come with the familiar 2.0-litre petrol motor.

The Mini Cooper SE made its debut last year with a funky wheel design which they then called the ‘Corona Spoke’, which has turned out to be somewhat inappropriate in recent times.

As the nation continues to be under lockdown due to the coronavirus pandemic. Honda cars India has launched an online portal for prospective customers who can book their Honda model of their choosing sitting at home, safe from COVID-19.

Earlier in April, Ferrari had started to produce respirator valves and fittings for protective masks at its Maranello plant as one of its initiatives in support of health workers treating coronavirus patients.

Excitement levels are high for the March 2020 release of SAS Customer Intelligence 360, which includes multiple years of research and development culminating in enhancements to the platform's underlying data model. The changes will introduce the unification of a comprehensive data model recording both: Customer behavior -- what users are [...]

SAS Customer Intelligence 360: Unified data model, marketing attribution and AutoML was published on Customer Intelligence Blog.

  Recently I was low on battery and needed to conserve it. So I decided to switch to 2G instead of 3G to save some precious minutes of battery. Also, I wanted to limit the data packets being sent and re...

  Introduction Character modeling is the process of creating a character within the 3D space of computer programs. The techniques for character modeling are essential for third - and first - person e...

The letter has urged, mainly for wage subsidy to large employers, on the lines of the Netherlands and Australia .

The decline was led by container volumes which fell sharply by 12% y-o-y (in TEU terms; 9% y-o-y in tonnage terms).

The Hybrid Annuity Model (HAM) for highway projects that insulates private developers from virtually any commercial risks, is putting stress on the highly-leveraged balance sheet of the National Highways Authority of India (NHAI), and should therefore be ‘downplayed’.

The ID.3 is the first fully electric model based on the new MEB platform

Jim Harris explains the relevance of DevOps, DataOps and ModelOps for data analytics practitioners.

The post Why Ops-ing is in (DevOps, ModelOps, DataOps) appeared first on The Data Roundtable.

North Korean leader Kim Jong Un observed the successful test of an unspecified “newly developed ultramodern tactical weapon,” state media reported Friday, in an apparent bid to apply pressure on the United States and South Korea.

Loan waiver schemes for agricultural loans introduced by some of the state governments may also help reduce stress to some extent.

He said within six years of the Modi government, the northeastern region has emerged as the model for development for the entire country.

1. Dark mode on Facebook starts rolling out with brand new desktop site  Livemint
2. Facebook for desktop gets dark mode for all: Here's how to get it  India TV News
3. Facebook redesign is finally rolling out for everyone | BGR India  BGR India
4. Facebook rolls out Dark Mode for desktop, other features for all users  India Today
5. You Can Now Activate The New Facebook Website on Your Computer  The Quint
6. View Full coverage on Google News

Google has already rolled out a few updates to Duo since the COVID-19 pandemic hit. Since video chat is more important than ever, Google is making Duo a priority, bring its video chat up to parity with its biggest competitors.This latest update packs in new AR effects which always make video calls a bit more ...

Clint Lewis, Executive Vice President and President, International Operations at Zoetis, shares his insights on the critical role that animal health plays in creating a safe and abundant food supply for a growing global population.

This new film is the latest remake of Devdas, but what is equally interesting is the fact that it is in conversation with films made in the West. Unlike Bhansali’s more spectacular version of the older story, Anurag Kashyap’s Dev.D is a genuine rewriting of Sarat Chandra’s novel. Kashyap doesn’t flinch from depicting the individual’s downward spiral, but he also gives women their own strength. He has set out to right a wrong—or, at least, tell a more realistic, even redemptive, story. If these characters have lost some of the affective depth of the original creations, they have also gained the hard edges of modern lives.

We don’t always feel the pain of Kashyap’s characters, but we are able to more readily recognize them. Take Chandramukhi, or Chanda, who is a school-girl humiliated by the MMS sex-scandal. Her father, protective and patriarchal, says that he has seen the tape and thinks she knew what she was doing. “How could you watch it?” the girl asks angrily. And then, “Did you get off on it?” When was the last time a father was asked such a question on the Hindi screen? With its frankness toward sex and masturbation, Dev.D takes a huge step toward honesty. In fact, more than the obvious tributes to Danny Boyle’s Trainspotting, or the over-extended psychedelic adventure on screen, in fact, as much as the moody style of film-making, the candour of such questions make Dev.D a film that is truly a part of world cinema.

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I have a modeless informational dialog box defined at the beginning of a SKILL script, but its contents don't display until the script finishes.

How do you get a modeless dialog box contents to display while a SKILL script is running?

procedure(myproc()

   prog((myvars)

     hiDisplayAppDBox()    ; opens blank dialog box - no dboxText contents show until script completes!

     ....rest of SKILL code in script...launches child processes

   );prog

);proc

I'm trying to generate IBIS models for the parts that I'm designing.  I'm designing using CADENCE Virtuoso.  

I'm wondering if there is a tutorial for generating IBIS models in CADENCE Virtuoso.   Please pardon me if my question is broad.      

Those who work in the IC Packaging design space have some unique challenges. We bridge between the IC design world (90/45-degree traces with rectangular and octagonal pins) and the PCB domain...

[[ Click on the title to access the full blog on the Cadence Community site. ]]

Hello,

I am using virtuoso version IC 6.1.7-64b.500.1, and I am trying to follow the Spectre RF Workshop-Noise-Aware PLL Design Flow(MMSIM 7.1.1) pdf.

I could find the workshop library "pllMMLib", but I cannot find PLL Macro Model Wizard, and I attached my screen.

Could you please help me install the module "PLL Macro Model Wizard"?

Thanks a lot!

I'm working on a circuit that requires the input voltage to be converted to a frequency, transmitted over an optical cable, and then converted back to a voltage. I am attempting to simulate this circuit using Eagle ngSpice simulations. The voltage to frequency converters that I am using are ADVFC32 and made by Analog Devices. However, I can't seem to find a SPICE model for this component. Analog Devices does not provide it on their website. Can anyone find a SPICE Model for this part? I'm new to working with electronics so any help/advice you can provide would be appreciated.

Hi

     I want develope basic circuit of DC motor which consist of resistor, inductor and back emf in capture and check its simulation in pspice, for reference I have attached image and link.

https://www.precisionmicrodrives.com/content/ab-025-using-spice-to-model-dc-motors/ .

Those who work in the IC Packaging design space have some unique challenges. We bridge between the IC design world (90/45-degree traces with rectangular and octagonal pins) and the PCB domain (any-angle routing, filled planes, and a multitude of pad ...(read more)

I would like to add these components to the component bank in ORCAD simulation. Even an accessible or free course that explained how to create these components.

Attached is the latest emacs mode for e/Specman - version 1.23

Please follow the install instructions in the top section of the actual file
(after unzipping it) to install/load this package with your emacs.

i had encountered error message like this before. 

but in liberate, i did not find the entry to input section info. 

I have a question regarding simulating IBIS model using Spectre.  IBIS model generation always has the die capacitance included and in the generated IBIS file you will have this value as  “C_comp” value.  Does the Spectre accounts for this capacitance from the IBIS file while computing the time domain voltage waveform during simulation ?  If I add additional capacitance outside in the testbench, to model the die capacitance, then it will be double counting.

Does anyone know if Spectre is already accounting this C_comp during the time domain voltage wave computation from IBIS file, during simulation ?

Hello,

I am trying to import (in spectre) an spice model of a ceramic capacitor manufactured by Samsung EM. The link that includes the model is here :-

http://weblib.samsungsem.com/mlcc/mlcc-ec.do?partNumber=CL05A156MR6NWR

They proved static spice model and interactive spice model.

I had no problem while including the static model.

However, the interactive model which models voltage and temperature coefficients seems to not be an ordinary spice model. They provide HSPICE, LTSPICE, and PSPICE model files and I failed to include any of them.

Any suggestions ?