scholarly journals Twitter as an innovation process with damping effect

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Giacomo Aletti ◽  
Irene Crimaldi
Keyword(s):  
Frequency Distribution ◽  
Power Law ◽  
Empirical Data ◽  
General Model ◽  
Innovation Process ◽  
Data Sets ◽  
High Frequencies ◽  
Damping Effect ◽  
Twitter Data ◽  
Innovation Processes

AbstractIn the existing literature about innovation processes, the proposed models often satisfy the Heaps’ law, regarding the rate at which novelties appear, and the Zipf’s law, that states a power law behavior for the frequency distribution of the elements. However, there are empirical cases far from showing a pure power law behavior and such a deviation is mostly present for elements with high frequencies. We explain this phenomenon by means of a suitable “damping” effect in the probability of a repetition of an old element. We introduce an extremely general model, whose key element is the update function, that can be suitably chosen in order to reproduce the behaviour exhibited by the empirical data. In particular, we explicit the update function for some Twitter data sets and show great performances with respect to Heaps’ law and, above all, with respect to the fitting of the frequency-rank plots for low and high frequencies. Moreover, we also give other examples of update functions, that are able to reproduce the behaviors empirically observed in other contexts.

SUPPLIER INVOLVEMENT IN INNOVATION PROCESSES: A TAXONOMY

2011 ◽  
Vol 15 (01) ◽  
pp. 121-143 ◽  
Author(s):  
TINA B. AUNE ◽  
ESPEN GRESSETVOLD
Keyword(s):  
Empirical Data ◽  
Innovation Process ◽  
Paper Mill ◽  
Supply Side ◽  
Process Performance ◽  
Global Engineering ◽  
Engineering Company ◽  
Supplier Involvement ◽  
Innovation Processes

For many companies, suppliers play an important role in innovation processes. One key issue concerns the degree of cooperation, such as an arm's length approach versus the use of relationships. Another issue concerns the scope of company involvement on the supply side, such as involvement of one supplier versus involvement of a network of companies. This article presents a taxonomy of supplier involvement in innovation processes. The empirical data consists of a case study of Norske Skog Skogn, a paper mill that is part of the world's second largest producer of newsprint, and one of its suppliers, ABB, a global engineering company. The article directs attention towards a variety of approaches to organising supplier involvement in innovation processes. The taxonomy may be useful in initiatives to increase awareness of the organisation of innovation processes and improve innovation process performance.

scholarly journals Blocks Size Frequency Distribution in the Enceladus Tiger Stripes Area: Implications on Their Formative Processes

Universe ◽  
2021 ◽  
Vol 7 (4) ◽  
pp. 82
Author(s):  
Maurizio Pajola ◽  
Alice Lucchetti ◽  
Lara Senter ◽  
Gabriele Cremonese
Keyword(s):  
Frequency Distribution ◽  
Power Law ◽  
Size Frequency Distribution ◽  
Surface Stresses ◽  
Size Frequency ◽  
The One ◽  
Power Law Index ◽  
Comet 67P ◽  
South Polar ◽  
Degree Of Fragmentation

We study the size frequency distribution of the blocks located in the deeply fractured, geologically active Enceladus South Polar Terrain with the aim to suggest their formative mechanisms. Through the Cassini ISS images, we identify ~17,000 blocks with sizes ranging from ~25 m to 366 m, and located at different distances from the Damascus, Baghdad and Cairo Sulci. On all counts and for both Damascus and Baghdad cases, the power-law fitting curve has an index that is similar to the one obtained on the deeply fractured, actively sublimating Hathor cliff on comet 67P/Churyumov-Gerasimenko, where several non-dislodged blocks are observed. This suggests that as for 67P, sublimation and surface stresses favor similar fractures development in the Enceladus icy matrix, hence resulting in comparable block disaggregation. A steeper power-law index for Cairo counts may suggest a higher degree of fragmentation, which could be the result of localized, stronger tectonic disruption of lithospheric ice. Eventually, we show that the smallest blocks identified are located from tens of m to 20–25 km from the Sulci fissures, while the largest blocks are found closer to the tiger stripes. This result supports the ejection hypothesis mechanism as the possible source of blocks.

scholarly journals Polyconvex hyperelastic modeling of rubberlike materials

2021 ◽  
Vol 43 (7) ◽  
Author(s):  
Cyprian Suchocki ◽  
Stanisław Jemioło
Keyword(s):  
Experimental Data ◽  
Power Law ◽  
Curve Fitting ◽  
Constitutive Relations ◽  
Data Sets ◽  
Power Law Model ◽  
Stored Energy ◽  
Data Approximation ◽  
Exponential Power ◽  
Hyperelastic Models

AbstractIn this work a number of selected, isotropic, invariant-based hyperelastic models are analyzed. The considered constitutive relations of hyperelasticity include the model by Gent (G) and its extension, the so-called generalized Gent model (GG), the exponential-power law model (Exp-PL) and the power law model (PL). The material parameters of the models under study have been identified for eight different experimental data sets. As it has been demonstrated, the much celebrated Gent’s model does not always allow to obtain an acceptable quality of the experimental data approximation. Furthermore, it is observed that the best curve fitting quality is usually achieved when the experimentally derived conditions that were proposed by Rivlin and Saunders are fulfilled. However, it is shown that the conditions by Rivlin and Saunders are in a contradiction with the mathematical requirements of stored energy polyconvexity. A polyconvex stored energy function is assumed in order to ensure the existence of solutions to a properly defined boundary value problem and to avoid non-physical material response. It is found that in the case of the analyzed hyperelastic models the application of polyconvexity conditions leads to only a slight decrease in the curve fitting quality. When the energy polyconvexity is assumed, the best experimental data approximation is usually obtained for the PL model. Among the non-polyconvex hyperelastic models, the best curve fitting results are most frequently achieved for the GG model. However, it is shown that both the G and the GG models are problematic due to the presence of the locking effect.

scholarly journals Maximal modularity and the optimal size of parliaments

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Luca Gamberi ◽  
Yanik-Pascal Förster ◽  
Evan Tzanis ◽  
Alessia Annibale ◽  
Pierpaolo Vivo
Keyword(s):  
Power Law ◽  
Real World ◽  
Empirical Data ◽  
Random Network ◽  
Functional Relation ◽  
Optimal Size ◽  
Real World Data ◽  
Universal Power Law ◽  
The Empirical Analysis ◽  
Democratic Country

AbstractAn important question in representative democracies is how to determine the optimal parliament size of a given country. According to an old conjecture, known as the cubic root law, there is a fairly universal power-law relation, with an exponent equal to 1/3, between the size of an elected parliament and the country’s population. Empirical data in modern European countries support such universality but are consistent with a larger exponent. In this work, we analyse this intriguing regularity using tools from complex networks theory. We model the population of a democratic country as a random network, drawn from a growth model, where each node is assigned a constituency membership sampled from an available set of size D. We calculate analytically the modularity of the population and find that its functional relation with the number of constituencies is strongly non-monotonic, exhibiting a maximum that depends on the population size. The criterion of maximal modularity allows us to predict that the number of representatives should scale as a power-law in the size of the population, a finding that is qualitatively confirmed by the empirical analysis of real-world data.

scholarly journals Spatial Heterogeneity of the Incidence of Powdery Mildew on Hop Cones

Plant Disease ◽  
2006 ◽  
Vol 90 (11) ◽  
pp. 1433-1440 ◽  
Author(s):  
David H. Gent ◽  
Walter F. Mahaffee ◽  
William W. Turechek
Keyword(s):  
Powdery Mildew ◽  
Spatial Heterogeneity ◽  
Power Law ◽  
Binomial Distribution ◽  
Disease Incidence ◽  
Disease Assessment ◽  
Cluster Sampling ◽  
Data Sets ◽  
Ratio Test ◽  
Frequency Distributions

The spatial heterogeneity of the incidence of hop cones with powdery mildew (Podosphaera macularis) was characterized from transect surveys of 41 commercial hop yards in Oregon and Washington from 2000 to 2005. The proportion of sampled cones with powdery mildew ( p) was recorded for each of 221 transects, where N = 60 sampling units of n = 25 cones assessed in each transect according to a cluster sampling strategy. Disease incidence ranged from 0 to 0.92 among all yards and dates. The binomial and beta-binomial frequency distributions were fit to the N sampling units in a transect using maximum likelihood. The estimation procedure converged for 74% of the data sets where p > 0, and a loglikelihood ratio test indicated that the beta-binomial distribution provided a better fit to the data than the binomial distribution for 46% of the data sets, indicating an aggregated pattern of disease. Similarly, the C(α) test indicated that 54% could be described by the beta-binomial distribution. The heterogeneity parameter of the beta-binomial distribution, θ, a measure of variation among sampling units, ranged from 0.01 to 0.20, with a mean of 0.037 and a median of 0.015. Estimates of the index of dispersion ranged from 0.79 to 7.78, with a mean of 1.81 and a median of 1.37, and were significantly greater than 1 for 54% of the data sets. The binary power law provided an excellent fit to the data, with slope and intercept parameters significantly greater than 1, which indicated that heterogeneity varied systematically with the incidence of infected cones. A covariance analysis indicated that the geographic location (region) of the yards and the type of hop cultivar had little effect on heterogeneity; however, the year of sampling significantly influenced the intercept and slope parameters of the binary power law. Significant spatial autocorrelation was detected in only 11% of the data sets, with estimates of first-order autocorrelation, r1, ranging from -0.30 to 0.70, with a mean of 0.06 and a median of 0.04; however, correlation was detected in only 20 and 16% of the data sets by median and ordinary runs analysis, respectively. Together, these analyses suggest that the incidence of powdery mildew on cones was slightly aggregated among plants, but patterns of aggregation larger than the sampling unit were rare (20% or less of data sets). Knowledge of the heterogeneity of diseased cones was used to construct fixed sampling curves to precisely estimate the incidence of powdery mildew on cones at varying disease intensities. Use of the sampling curves developed in this research should help to improve sampling methods for disease assessment and management decisions.

Innovationen multi-perspektiv entwickeln*/Multi-perspective development of innovations - Holistic view of innovation processes for the derivation of manufacturing strategic decision areas

2017 ◽  
Vol 107 (03) ◽  
pp. 189-193
Author(s):  
M. Röhm ◽  
T. Prof. Bauernhansl ◽  
T. Schrodi
Keyword(s):  
Process Development ◽  
Innovation Process ◽  
Strategic Decision ◽  
Maturity Model ◽  
Market Demand ◽  
Critical Fields ◽  
Holistic View ◽  
Development Processes ◽  
Technology Market ◽  
Innovation Processes

Für eine marktgerechte Produktentwicklung gibt es in Anlehnung an das Technologie-Reifegradmodell eine Vielzahl von Ansätzen, die den Entwicklungsstand von Technologie und Markt bewerten. Um im Innovationsprozess produktionsstrategische Lücken rechtzeitig aufzuzeigen, müssen Entwicklungsprozesse von Technologie, Markt und Produktion jedoch ganzheitlich betrachtet werden. Hierfür werden unterschiedliche Reifegradmodelle gegenübergestellt, Korrelationen aufgezeigt und erfolgsentscheidende Entwicklungsstufen abgeleitet.   Based on the technology maturity model, there is a variety of approaches describing the maturity of market demand and technology in order to combine technology push and market pull perspectives. However, to be able to show strategic gaps during the innovation process, development processes of technology, market and manufacturing skills have to be viewed holistically. For this purpose, the authors present different degrees of maturity models, show correlations and derive critical fields of action.

What the fake? Assessing the extent of networked political spamming and bots in the propagation of #fakenews on Twitter

2019 ◽  
Vol 43 (1) ◽  
pp. 53-71 ◽  
Author(s):  
Ahmed Al-Rawi ◽  
Jacob Groshek ◽  
Li Zhang
Keyword(s):  
Social Media ◽  
Data Sets ◽  
Fake News ◽  
Content Type ◽  
Mainstream Media ◽  
News Discourse ◽  
Twitter Data ◽  
News Organizations ◽  
Twitter Users ◽  
One Year

PurposeThe purpose of this paper is to examine one of the largest data sets on the hashtag use of #fakenews that comprises over 14m tweets sent by more than 2.4m users.Design/methodology/approachTweets referencing the hashtag (#fakenews) were collected for a period of over one year from January 3 to May 7 of 2018. Bot detection tools were employed, and the most retweeted posts, most mentions and most hashtags as well as the top 50 most active users in terms of the frequency of their tweets were analyzed.FindingsThe majority of the top 50 Twitter users are more likely to be automated bots, while certain users’ posts like that are sent by President Donald Trump dominate the most retweeted posts that always associate mainstream media with fake news. The most used words and hashtags show that major news organizations are frequently referenced with a focus on CNN that is often mentioned in negative ways.Research limitations/implicationsThe research study is limited to the examination of Twitter data, while ethnographic methods like interviews or surveys are further needed to complement these findings. Though the data reported here do not prove direct effects, the implications of the research provide a vital framework for assessing and diagnosing the networked spammers and main actors that have been pivotal in shaping discourses around fake news on social media. These discourses, which are sometimes assisted by bots, can create a potential influence on audiences and their trust in mainstream media and understanding of what fake news is.Originality/valueThis paper offers results on one of the first empirical research studies on the propagation of fake news discourse on social media by shedding light on the most active Twitter users who discuss and mention the term “#fakenews” in connection to other news organizations, parties and related figures.

MAPPING THE PERCEPTION AND REALITY OF OPEN INNOVATION

2013 ◽  
Vol 17 (06) ◽  
pp. 1340016 ◽  
Author(s):  
JUSTYNA DĄBROWSKA ◽  
IRINA FIEGENBAUM ◽  
ANTERO KUTVONEN
Keyword(s):  
Open Innovation ◽  
Innovation Management ◽  
Innovation Process ◽  
Innovation Research ◽  
Innovation Activities ◽  
Current State ◽  
Business Practitioners ◽  
The Right ◽  
Innovation Practices ◽  
Innovation Processes

Open innovation holds great potential for improving the efficiency of companies' innovation processes, but also presents substantial risks. A key issue in innovation management is finding the right balance of openness, i.e., determining how open companies should be in their innovation activities. However, academics and business practitioners hold conflicting notions of what constitutes open innovation practice and of how "open innovation companies" are defined. In this paper, we present three in-depth case studies of global R&D-intensive companies, where we find that the firms' perception of their openness differs from their actual situation (as determined by the innovation practices that they apply), and that each company has a different view as to what constitutes open innovation. We claim that resolving conceptual ambiguity and differentiating between openness (as a philosophical aspect) and open innovation (as a way of structuring the innovation process) in research is critical in order to clarify the current state of open innovation research and enable the communication of results to practitioners.

scholarly journals Support for the Development of Technological Innovations at an R&D Organisation

2021 ◽  
Vol 13 (22) ◽  
pp. 12469
Author(s):  
Beata Poteralska
Keyword(s):  
Technology Assessment ◽  
Research Result ◽  
Innovation Process ◽  
Research Problem ◽  
Future Research ◽  
Technological Innovations ◽  
Original Matrix ◽  
Organisational Capabilities ◽  
Theoretical Approaches ◽  
Innovation Processes

Effective development of technological innovations requires efficient management at the stages of their generation, realisation, and their implementation. For this aim, concepts such as foresight, technology assessment, and organisational capabilities assessment can be applied; however, so far they have been used mainly individually or sometimes combined but to a very limited extent. Moreover, they are not used comprehensively, but only selectively, e.g., at some stages of the innovation processes. The research problem undertaken in the paper concerns the effectiveness of the integration of these concepts: future research (mainly foresight), technology assessment, and organisational capabilities assessment for the needs of supporting innovation processes. The paper is aimed at presenting an original approach assuming the integration of the aforementioned triad. The proposed approach has been developed individually by the paper’s author on the basis of (1) state of the art analysis comprising both theoretical approaches and practical examples of individual and combined application of the concepts analysed, and (2) the author’s practical experience resulting from research projects conducted collectively. The research result comprises an original matrix approach where the individual concepts of the triad are applied in a way enabling their mutual complementation at all successive stages of the innovation process. The approach proposed comprises modules referring to the succeeding stages of the innovation process, namely generation, realisation and application of technological innovations. The areas of the approach application and possible directions of its further development are presented.

scholarly journals A study of how uncertainty emerges in the uncertainty-embedded innovation process

2019 ◽  
Vol 7 (1) ◽  
pp. 46-79
Author(s):  
Sabrina Luthfa
Keyword(s):  
Qualitative Study ◽  
Conceptual Model ◽  
Innovation Process ◽  
Structure Model ◽  
Related Activity ◽  
Activity Structure ◽  
The Creation ◽  
Critical Chain ◽  
Innovation Processes ◽  
Over Time

This paper aims to understand about how uncertainty emerges in the innovation process. Since uncertainty is embedded in the innovation process, to understand how uncertainty emerges in the process one needs to understand how innovation process unfolds over time. Since an innovation process involves various resource recombination activities occurring in several phases, to understand how innovation process unfolds one needs understand “how do various resource recombination activities occur over time for the creation of novelty?” This knowledge would enable us to understand the conditions under which vital activities of resource recombination can/cannot be undertaken and coordinated as well as would allow us to understand the underlying decisions made by the innovators for their efficient undertaking and coordination. This paper investigates the innovation process in two companies through performing qualitative study. The innovation processes are analysed in the light of a conceptual model developed based on the Dubois’ (1994) End-product related activity structure model, Håkansson’s (1987) “ARA model” and Goldratt’s (1997) “Critical chain concept”. The findings suggest that uncertainty emerges in the innovation process in a cycle of interaction with resource void, activity void and actors’ limited cognition due to lack of knowledge, undue optimism, and rationally justified reason for disregarding information. Accordingly, a great deal of compromises is made while undertaking the activities.

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