The Ripple Effect: Change in Trust and Its Impact Over a Social Network

2009 ◽  
pp. 169-181 ◽  
Author(s):  
Jennifer Golbeck ◽  
Ugur Kuter
Keyword(s):  
Social Network ◽  
Ripple Effect ◽  
Effect Change

Analyzing Teachers’ Professional Interactions in a School as Social Capital: A Social Network Approach

2009 ◽  
Vol 111 (1) ◽  
pp. 124-163 ◽  
Author(s):  
William Penuel ◽  
Margaret Riel ◽  
Ann Krause ◽  
Kenneth Frank
Keyword(s):  
Social Capital ◽  
Social Network ◽  
Social Capital Theory ◽  
Professional Communities ◽  
Capital Theory ◽  
Case Study Methodology ◽  
Effect Change ◽  
Teacher Professional ◽  
Different Levels

Background/Context Researchers have proposed a number of lenses for analyzing teacher professional communities in recent years. These lenses have been useful in describing key dynamics of professional communities; however, none provides a compelling approach to how to integrate data from the school as a whole with case study data on individual interactions to create a coherent account of the structure and dynamics of teacher professional communities. Objective Our objective was to present and illustrate the application of social capital theory for analyzing the role of formal and informal teacher interactions in helping teachers enact changes to instruction associated with ambitious school reforms. Social capital theory posits that valued resources and expertise are embedded within social networks and that it is through social ties that one gains access to and can make use of resources to effect change. The network perspective directs researchers to focus simultaneously on the overall social structure of a school and on the expertise and resources exchanged through interactions among teachers that take place in meetings, staff rooms, hallways, and classrooms. Setting Our illustrations are contrasting cases of teacher communities in two elementary schools in California. In both school communities, the principals were committed to the idea of fostering greater interaction among colleagues as a strategy to improve literacy instruction. Both schools had similar levels of resources to support their goals through external funding from the state, but the schools had had different levels of success in implementing their reforms at the time of the study. Research Design We used an explanatory case study methodology that relied on social network, survey, and interview methods as sources of evidence for several alternative hypotheses relating to how the distribution of resources and expertise may have contributed to these schools’ different levels of success in implementing their reforms. Conclusions/Recommendations The comparative case analysis of the two schools provided evidence that analyzing the internal structure of the school community was necessary to help account for the distribution of access to resources and expertise in these two schools. Moreover, there was some evidence from survey and network data that the distribution of valued resources and expertise was related to the level of change observed in each school.

scholarly journals Problems and Prospects with the Scientonomic Workflow

2019 ◽  
Vol 3 ◽  
pp. 1-14
Author(s):  
Jamie Shaw ◽  
Hakob Barseghyan
Keyword(s):  
Scientific Change ◽  
Ripple Effect ◽  
Simple Majority ◽  
Promising Alternative ◽  
Effect Change ◽  
Ripple Effects ◽  
Peer Reviews ◽  
Orderly Fashion ◽  
New Formulation ◽  
Suggested Modification

While the scientonomic workflow guiding the development of a general theory of scientific change has been practiced for nearly four years, it has yet to be formally evaluated. The goal of this paper is to fill this gap with a critical appraisal of the practice and theoretical underpinnings of the workflow currently used in scientonomy. First, we consider the traditional workflow which uses publications as the primary vehicle for substantive epistemic change and find that it fails to be sufficiently transparent or inclusive and is ambiguous at decisive points. Conversely, as we argue, the scientonomic workflow has the potential to succeed where the traditional workflow fails and thus provides a promising alternative workflow. We then go on to note a number of practical and theoretical problems that have arisen upon reflection on the scientonomic workflow and suggest some modifications to the workflow and to our practices. This paper takes the first steps in improving the workflow to reach its maximum potential. Suggested Modifications [Sciento-2019-0001]: Accept that the goal of peer-reviews in the scientonomic workflow is evaluation for pursuitworthiness rather than acceptability. [Sciento-2019-0002]: Accept that the discussions concerning a suggested modification are to be published once a communal verdict is available. The discussions are to be published in the journal as special commentary articles co-authored by all participants of the discussion or in special edited collections. [Sciento-2019-0003]: Accept that the commentators of suggested modifications are allowed to suggest reformulations of the original formulations. Also accept that, by default, the new formulation should bear the original author’s name, unless the author decides to give credit to those who significantly contributed to the new reformulation. This should be decided collegially by the author, the commentators, and the editors on a case-by-case basis.  [Sciento-2019-0004]: Accept that an annual book prize is to be offered for extensive participation on the encyclopedia. The winner(s) are to be decided by the encyclopedia editors. [Sciento-2019-0005]: Accept that star-ratings are to be introduced for commentators who comment on suggested modifications on the encyclopedia. [Sciento-2019-0006]: Accept that the encyclopedia editors are to be granted official housekeeping rights to handle the ripple effects. Also accept that if the additional required changes are implicit in the suggested modification, the editors should create and alter encyclopedia pages to ensure that the accepted body of scientonomic knowledge is properly documented; if it is conceivable to accept the modification without accepting the ripple effect change in question, the editors should register these changes as new suggested modifications so that the community can discuss and evaluate them in an orderly fashion. [Sciento-2019-0007]: Accept that the verdict on suggested modifications is to be decided by a communal vote that will follow the discussion period. Have a communal discussion and decide as to what percentage of votes it should take for a modification to be accepted – a simple majority (50% +1), or supermajority of three fifths (60%), two thirds (67%), or three quarters (75%). Also discuss to decide as to how long the discussion period and the voting period should be. This modification is incompatible with modification [Sciento-2019-0008]. [Sciento-2019-0008]: Accept that a countdown mechanism is to be introduced, where a modification is accepted by default if there are no objections within a 90-day period following its publication. This modification is incompatible with modification [Sciento-2019-0007].

scholarly journals Greek research capacity and economic hardships: a social network ripple effect?

2013 ◽  
Vol 63 (614) ◽  
pp. 482-482 ◽  
Author(s):  
Emmanouil K Symvoulakis ◽  
Adelais Markaki
Keyword(s):  
Social Network ◽  
Research Capacity ◽  
Ripple Effect

The social network

2013 ◽  
Vol 44 (2) ◽  
pp. 22
Author(s):  
ALAN ROCKOFF
Keyword(s):  
Social Network ◽  
The Social

Abstract #1249: Novel Use of Physician Social Network Data to Map the Gap in the Endocrinology Workforce

2015 ◽  
Vol 21 ◽  
pp. 301
Author(s):  
Armand Krikorian ◽  
Lily Peng ◽  
Zubair Ilyas ◽  
Joumana Chaiban
Keyword(s):  
Social Network ◽  
Network Data ◽  
Social Network Data

Correlating Personality and Actual Phone Usage

2014 ◽  
Vol 35 (3) ◽  
pp. 158-165 ◽  
Author(s):  
Christian Montag ◽  
Konrad Błaszkiewicz ◽  
Bernd Lachmann ◽  
Ionut Andone ◽  
Rayna Sariyska ◽  
...  
Keyword(s):  
Big Data ◽  
Social Network ◽  
Mobile Phone ◽  
Mobile Phones ◽  
Self Report ◽  
Psychological Variables ◽  
New Approach ◽  
Report Data ◽  
Self Report Data ◽  
Voice Calls

In the present study we link self-report-data on personality to behavior recorded on the mobile phone. This new approach from Psychoinformatics collects data from humans in everyday life. It demonstrates the fruitful collaboration between psychology and computer science, combining Big Data with psychological variables. Given the large number of variables, which can be tracked on a smartphone, the present study focuses on the traditional features of mobile phones – namely incoming and outgoing calls and SMS. We observed N = 49 participants with respect to the telephone/SMS usage via our custom developed mobile phone app for 5 weeks. Extraversion was positively associated with nearly all related telephone call variables. In particular, Extraverts directly reach out to their social network via voice calls.

Extraverts Have Larger Social Network Layers

2011 ◽  
Vol 32 (3) ◽  
pp. 161-169 ◽  
Author(s):  
Thomas V. Pollet ◽  
Sam G. B. Roberts ◽  
Robin I. M. Dunbar
Keyword(s):  
Social Network ◽  
Social Relationships ◽  
Outer Layer ◽  
Network Size ◽  
Emotional Intensity ◽  
Emotional Closeness ◽  
Network Layer ◽  
Network Layers ◽  
Social Network Size

Previous studies showed that extraversion influences social network size. However, it is unclear how extraversion affects the size of different layers of the network, and how extraversion relates to the emotional intensity of social relationships. We examined the relationships between extraversion, network size, and emotional closeness for 117 individuals. The results demonstrated that extraverts had larger networks at every layer (support clique, sympathy group, outer layer). The results were robust and were not attributable to potential confounds such as sex, though they were modest in size (raw correlations between extraversion and size of network layer, .20 < r < .23). However, extraverts were not emotionally closer to individuals in their network, even after controlling for network size. These results highlight the importance of considering not just social network size in relation to personality, but also the quality of relationships with network members.

The Multilevel p2 Model

Methodology ◽  
2006 ◽  
Vol 2 (1) ◽  
pp. 42-47 ◽  
Author(s):  
Bonne J. H. Zijlstra ◽  
Marijtje A. J. van Duijn ◽  
Tom A. B. Snijders
Keyword(s):  
Social Network ◽  
Network Data ◽  
Mcmc Algorithm ◽  
Independent Observation ◽  
Single Observation ◽  
Multiple Networks ◽  
Social Network Data ◽  
Multiple Observations ◽  
Practical Support ◽  
The Social

The p 2 model is a random effects model with covariates for the analysis of binary directed social network data coming from a single observation of a social network. Here, a multilevel variant of the p 2 model is proposed for the case of multiple observations of social networks, for example, in a sample of schools. The multilevel p 2 model defines an identical p 2 model for each independent observation of the social network, where parameters are allowed to vary across the multiple networks. The multilevel p 2 model is estimated with a Bayesian Markov Chain Monte Carlo (MCMC) algorithm that was implemented in free software for the statistical analysis of complete social network data, called StOCNET. The new model is illustrated with a study on the received practical support by Dutch high school pupils of different ethnic backgrounds.

Learning Conversation and Shared Network Leadership

2010 ◽  
Vol 9 (4) ◽  
pp. 181-194 ◽  
Author(s):  
Jürgen Weibler ◽  
Sigrid Rohn-Endres
Keyword(s):  
Qualitative Research ◽  
Grounded Theory ◽  
Social Network ◽  
Interorganizational Networks ◽  
Original Network ◽  
High Quality ◽  
Qualitative Research Design ◽  
Collective Processes ◽  
Shared Network ◽  
Practical Implications

This paper develops an understanding of how shared leadership emerges in social network interactions. On the basis of a qualitative research design (grounded theory methodology – GTM) our study in two interorganizational networks offers insights into the interplay between structures, individuals, and the collective for the emergence of shared network leadership (SNL). The network-specific Gestalt of SNL appears as a pattern of collective and individual leadership activities unified under the roof of a highly developed learning conversation. More importantly, our findings support the idea that individual network leadership would not emerge without embeddedness in certain high-quality collective processes of relating and dialogue. Both theoretical and practical implications of this original network leadership perspective are discussed.

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