Navigation through citation network based on content similarity using cosine ...Salam Shah
The rate of scientific literature has been increased in the past few decades; new topics and information is added in the form of articles, papers, text documents, web logs, and patents. The growth of information at rapid rate caused a tremendous amount of additions in the current and past knowledge, during this process, new topics emerged, some topics split into many other sub-topics, on the other hand, many topics merge to formed single topic. The selection and search of a topic manually in such a huge amount of information have been found as an expensive and workforce-intensive task. For the emerging need of an automatic process to locate, organize, connect, and make associations among these sources the researchers have proposed different techniques that automatically extract components of the information presented in various formats and organize or structure them. The targeted data which is going to be processed for component extraction might be in the form of text, video or audio. The addition of different algorithms has structured information and grouped similar information into clusters and on the basis of their importance, weighted them. The organized, structured and weighted data is then compared with other structures to find similarity with the use of various algorithms. The semantic patterns can be found by employing visualization techniques that show similarity or relation between topics over time or related to a specific event. In this paper, we have proposed a model based on Cosine Similarity Algorithm for citation network which will answer the questions like, how to connect documents with the help of citation and content similarity and how to visualize and navigate through the document.
Dynamic extraction of key paper from the cluster using variance values of cit...IJDKP
When looking into recent research trends in the field of academic landscape, citation network analysis is
common and automated clustering of many academic papers has been achieved by making good use of
various techniques. However, specifying the features of each area identified by automated clustering or
dynamically extracted key papers in each research area has not yet been achieved. In this study, therefore,
we propose a method for dynamically specifying the key papers in each area identified by clustering. We
will investigate variance values of the publication year of the cited literature and calculate each cited
paper’s importance by applying the variance values to the PageRank algorithm.
By Cristie McClendon, Scott Greenberger, and Stacey BridgesTawnaDelatorrejs
By Cristie McClendon, Scott Greenberger, and Stacey Bridges
Reading Quantitative Research
Essential Questions
1. What types of research problems are suitable for quantitative research?
2. How does a researcher select a quantitative design?
3. What are the GCU core designs for quantitative research?
4. How does one select appropriate measures or instruments for quantitative research?
5. What sampling approaches are used in quantitative research?
6. What are the most common approaches used in quantitative data analysis?
Introduction
Quantitative research is frequently used in the social sciences because it is quick, relatively inexpensive, and
considered a valid method of inquiry by researchers and academicians. The goals of quantitative research are
to describe the attributes of a group of people, to measure differences between groups, to determine if a
relationship exists between variables, or to predict if one event or factor causes another.
Quantitative studies contain measurable and quanti�able data, a
statistically appropriate sample, use of statistical techniques, and
a structured data collection plan to ensure that the study can be
replicated. Additionally, quantitative studies require the use of
valid and reliable instruments, surveys, or databases to quantify
variables. The research method is deductive, very structured, and
in�exible as often the goal of the researcher is to generalize or
apply the results to other groups and populations besides those
participating in the study. Ultimately, quantitative research offers a systematic and structured process for
answering research questions (Balnaves & Caputi, 2001).
Critically Reading Quantitative Research
Doctoral learners must go through a process of learning how to critically read empirical research. While
reading is a familiar skill to learners, at the doctoral level, it takes on new depth as learners transition to the
mindset of a researcher. The required reading materials will be more dif�cult to read, take more time, and
require learners to improve their reading ef�ciency and critical-thinking skills. Having ample time built in for
reading is crucial to the success of a doctoral student. Reading is the foundation to a dissertation research
project. The �rst 2 years before a proposal is accepted will be spent reading peer-reviewed articles,
dissertations, books, and other scholarly sources that can potentially contribute to the dissertation project. At
the same time, the reading of these materials directly contributes to subject matter expertise of the learner
helping to make him or her an expert in the �eld of study. Unfortunately, there is not a speci�c number of
Schedule enough time to read
critically.
resources that a learner must read to transform into an expert. The reading process in a doctoral program is an
ongoing, self-directed, independent project that begins in the �rst course and does not end until the
dissertation is approved. Ev ...
Navigation through citation network based on content similarity using cosine ...Salam Shah
The rate of scientific literature has been increased in the past few decades; new topics and information is added in the form of articles, papers, text documents, web logs, and patents. The growth of information at rapid rate caused a tremendous amount of additions in the current and past knowledge, during this process, new topics emerged, some topics split into many other sub-topics, on the other hand, many topics merge to formed single topic. The selection and search of a topic manually in such a huge amount of information have been found as an expensive and workforce-intensive task. For the emerging need of an automatic process to locate, organize, connect, and make associations among these sources the researchers have proposed different techniques that automatically extract components of the information presented in various formats and organize or structure them. The targeted data which is going to be processed for component extraction might be in the form of text, video or audio. The addition of different algorithms has structured information and grouped similar information into clusters and on the basis of their importance, weighted them. The organized, structured and weighted data is then compared with other structures to find similarity with the use of various algorithms. The semantic patterns can be found by employing visualization techniques that show similarity or relation between topics over time or related to a specific event. In this paper, we have proposed a model based on Cosine Similarity Algorithm for citation network which will answer the questions like, how to connect documents with the help of citation and content similarity and how to visualize and navigate through the document.
Dynamic extraction of key paper from the cluster using variance values of cit...IJDKP
When looking into recent research trends in the field of academic landscape, citation network analysis is
common and automated clustering of many academic papers has been achieved by making good use of
various techniques. However, specifying the features of each area identified by automated clustering or
dynamically extracted key papers in each research area has not yet been achieved. In this study, therefore,
we propose a method for dynamically specifying the key papers in each area identified by clustering. We
will investigate variance values of the publication year of the cited literature and calculate each cited
paper’s importance by applying the variance values to the PageRank algorithm.
By Cristie McClendon, Scott Greenberger, and Stacey BridgesTawnaDelatorrejs
By Cristie McClendon, Scott Greenberger, and Stacey Bridges
Reading Quantitative Research
Essential Questions
1. What types of research problems are suitable for quantitative research?
2. How does a researcher select a quantitative design?
3. What are the GCU core designs for quantitative research?
4. How does one select appropriate measures or instruments for quantitative research?
5. What sampling approaches are used in quantitative research?
6. What are the most common approaches used in quantitative data analysis?
Introduction
Quantitative research is frequently used in the social sciences because it is quick, relatively inexpensive, and
considered a valid method of inquiry by researchers and academicians. The goals of quantitative research are
to describe the attributes of a group of people, to measure differences between groups, to determine if a
relationship exists between variables, or to predict if one event or factor causes another.
Quantitative studies contain measurable and quanti�able data, a
statistically appropriate sample, use of statistical techniques, and
a structured data collection plan to ensure that the study can be
replicated. Additionally, quantitative studies require the use of
valid and reliable instruments, surveys, or databases to quantify
variables. The research method is deductive, very structured, and
in�exible as often the goal of the researcher is to generalize or
apply the results to other groups and populations besides those
participating in the study. Ultimately, quantitative research offers a systematic and structured process for
answering research questions (Balnaves & Caputi, 2001).
Critically Reading Quantitative Research
Doctoral learners must go through a process of learning how to critically read empirical research. While
reading is a familiar skill to learners, at the doctoral level, it takes on new depth as learners transition to the
mindset of a researcher. The required reading materials will be more dif�cult to read, take more time, and
require learners to improve their reading ef�ciency and critical-thinking skills. Having ample time built in for
reading is crucial to the success of a doctoral student. Reading is the foundation to a dissertation research
project. The �rst 2 years before a proposal is accepted will be spent reading peer-reviewed articles,
dissertations, books, and other scholarly sources that can potentially contribute to the dissertation project. At
the same time, the reading of these materials directly contributes to subject matter expertise of the learner
helping to make him or her an expert in the �eld of study. Unfortunately, there is not a speci�c number of
Schedule enough time to read
critically.
resources that a learner must read to transform into an expert. The reading process in a doctoral program is an
ongoing, self-directed, independent project that begins in the �rst course and does not end until the
dissertation is approved. Ev ...
Opening Scholarly Communication in Social Sciences (OSCOSS)GESIS
Our system will initially provide readers, authors and reviewers with an alternative, thus having the potential to gain wider acceptance and gradually replace the old, incoherent publication process of our journals and of others in related fields. It will make journals more “open” (in terms of reusability) that are open access already, and it has the potential to serve as an incentive for turning “closed” journals into open access ones.
OSCOSS is funded by the DFG in the Open Access Transformation programme.
Finding Your Literature Match - A Recommender SystemEdwin Henneken
In this document I give a non-technical description of what a recommender system is and how it helps in the process of finding relevant information in times of information overload
Between information retrieval services and bibliometrics research. New ...Andrea Scharnhorst
R. Koopman, S. Wang, A. Scharnhorst (2015) Between information retrieval services and bibliometrics research. New ways of semantic browsing and visual analytics. Presentation at the Sigmetrics workshop, ASIST 2015, November 7, 2015 St. Louis, Missouri
The purpose of this project is to analyze the book reviews and ratings based on the service provider. The project is primarily based on Data warehouse implementation and BI queries for Analysis for Online Book Reviews collected from Amazon, Goodreads & Bookcrossing and Twitter
A conceptual model for the annotation of audiovisual heritage in a media stud...Liliana M. Melgar Estrada
See summary here: https://avindhsig.wordpress.com/workshop-2016-krakow/accepted-abstracts/liliana-melgar-jaap-blom-eva-baaren-marijn-koolen-roeland-ordelman/
Evaluating Digital Scholarship, Alison ByerlyNITLE
While a number of professional organizations have produced valuable guidelines for evaluation of digital work, many colleges and universities have yet to establish clear protocols and practices for applying them. Alison Byerly, College Professor and former Provost and Executive Vice President at Middlebury College, who has co-led workshops on evaluating digital scholarship at the MLA convention, will review major issues to be considered in the evaluation of digital work, such as: presentation of medium-specific materials, documentation of multiple roles in collaborative work, changing forms of peer review, and identification of appropriate reviewers. She will then talk briefly about how these issues can best be approached from the perspective of the candidate who wishes to present his or her work effectively to review committees, as well as from the perspective of colleagues who wish to provide a well-informed evaluation of such work.
The Nobel, The Booker and The Pulitzer (2019-2023).pptxPrakruti Bhatt
This presentation is aimed at acquainting the aspirants of the National and State level Eligibility Tests with the Nobel Prize winners for Literature of the past five years i.e. 2019-2023.
Asian Literatures in English_ Notable Works and Authors.pptxPrakruti Bhatt
This presentation focuses on providing a brief overview of the prominent authors and works which fall under the term Asian Literatures in English. The purpose is to acquaint the aspirants of the National and State Level Eligibility Tests with these significant authors and their work.
Opening Scholarly Communication in Social Sciences (OSCOSS)GESIS
Our system will initially provide readers, authors and reviewers with an alternative, thus having the potential to gain wider acceptance and gradually replace the old, incoherent publication process of our journals and of others in related fields. It will make journals more “open” (in terms of reusability) that are open access already, and it has the potential to serve as an incentive for turning “closed” journals into open access ones.
OSCOSS is funded by the DFG in the Open Access Transformation programme.
Finding Your Literature Match - A Recommender SystemEdwin Henneken
In this document I give a non-technical description of what a recommender system is and how it helps in the process of finding relevant information in times of information overload
Between information retrieval services and bibliometrics research. New ...Andrea Scharnhorst
R. Koopman, S. Wang, A. Scharnhorst (2015) Between information retrieval services and bibliometrics research. New ways of semantic browsing and visual analytics. Presentation at the Sigmetrics workshop, ASIST 2015, November 7, 2015 St. Louis, Missouri
The purpose of this project is to analyze the book reviews and ratings based on the service provider. The project is primarily based on Data warehouse implementation and BI queries for Analysis for Online Book Reviews collected from Amazon, Goodreads & Bookcrossing and Twitter
A conceptual model for the annotation of audiovisual heritage in a media stud...Liliana M. Melgar Estrada
See summary here: https://avindhsig.wordpress.com/workshop-2016-krakow/accepted-abstracts/liliana-melgar-jaap-blom-eva-baaren-marijn-koolen-roeland-ordelman/
Evaluating Digital Scholarship, Alison ByerlyNITLE
While a number of professional organizations have produced valuable guidelines for evaluation of digital work, many colleges and universities have yet to establish clear protocols and practices for applying them. Alison Byerly, College Professor and former Provost and Executive Vice President at Middlebury College, who has co-led workshops on evaluating digital scholarship at the MLA convention, will review major issues to be considered in the evaluation of digital work, such as: presentation of medium-specific materials, documentation of multiple roles in collaborative work, changing forms of peer review, and identification of appropriate reviewers. She will then talk briefly about how these issues can best be approached from the perspective of the candidate who wishes to present his or her work effectively to review committees, as well as from the perspective of colleagues who wish to provide a well-informed evaluation of such work.
The Nobel, The Booker and The Pulitzer (2019-2023).pptxPrakruti Bhatt
This presentation is aimed at acquainting the aspirants of the National and State level Eligibility Tests with the Nobel Prize winners for Literature of the past five years i.e. 2019-2023.
Asian Literatures in English_ Notable Works and Authors.pptxPrakruti Bhatt
This presentation focuses on providing a brief overview of the prominent authors and works which fall under the term Asian Literatures in English. The purpose is to acquaint the aspirants of the National and State Level Eligibility Tests with these significant authors and their work.
This presentation discusses the 8th topic from syllabus of paper 1 of the National Eligibility Test, i.e. ICT for Governance and Education. The presentation highlights some of the major projects launched by the Government of India pertaining to the topic.
This presentation is aimed at providing a brief overview of the National and State Level Eligibility Tests; as well as discuss their significance for pursuing a career in higher education in India.
With the widespread development of technological advances, it is necessary to know how literature responds to it, especially when you are a literature student. Electronic Literature is therefore an important phenomenon to be understood. This presentation is therefore aimed at providing an introduction to the concept.
J.M Coetzee's Waiting for the Barbarians is an interesting study of the horrors of colonial lifestyle as well as the post colonial idea of the construction of the 'Other'. This presentation explores the theme of namelessness in the novel.
Broadcasting: Television, Radio and E-media Prakruti Bhatt
A brief idea about the technicalities and functions of e-media platforms as well as the various broadcasting mediums; for a discussion on mass media and communication.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxEduSkills OECD
Andreas Schleicher presents at the OECD webinar ‘Digital devices in schools: detrimental distraction or secret to success?’ on 27 May 2024. The presentation was based on findings from PISA 2022 results and the webinar helped launch the PISA in Focus ‘Managing screen time: How to protect and equip students against distraction’ https://www.oecd-ilibrary.org/education/managing-screen-time_7c225af4-en and the OECD Education Policy Perspective ‘Students, digital devices and success’ can be found here - https://oe.cd/il/5yV
The Art Pastor's Guide to Sabbath | Steve ThomasonSteve Thomason
What is the purpose of the Sabbath Law in the Torah. It is interesting to compare how the context of the law shifts from Exodus to Deuteronomy. Who gets to rest, and why?
How to Split Bills in the Odoo 17 POS ModuleCeline George
Bills have a main role in point of sale procedure. It will help to track sales, handling payments and giving receipts to customers. Bill splitting also has an important role in POS. For example, If some friends come together for dinner and if they want to divide the bill then it is possible by POS bill splitting. This slide will show how to split bills in odoo 17 POS.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
2. What is Snowballing?
● A non-probability sampling technique developed by James Coleman and Leo
Goodman.
● Goodman defines it as a technique where, “A random sample of individuals is
drawn from a given finite population.”[2]
● Introduced as a ‘means for studying the structure of social networks’[4]
3. Snowballing for literary research
● In the context of literary research, Claes Wohlin defines it as ‘using the
reference list of a paper or the citations to the paper to identify additional
papers.’[6]
● Thus, for literary research, snowballing can be understood as a technique
through which one can identify relevant pieces of information to justify their
arguments; which in turn helps in preparing a structured literature review.
4. Steps of Snowballing:
1. Identify keywords and formulate search strings[6]
2. Identify a start set of papers to use[6]
3. Scour the references sections of articles that you have already included in your
review [backward snowballing][5]
4. Identify articles that had subsequently cited papers that you have included in
your review[forward snowballing][5]
5. If no new sources are found, the snowballing procedure is finished[6]
5. Using the digital medium for snowballing
● Web platforms can function as vast stores of reliable information wherein one
can search for sources relevant to one’s study.
● Platforms like Google Scholar [3] can help in identifying primary texts and
articles which through snowballing can then lead to more sources of
information.
● Web platforms are more efficient for snowballing in comparison to traditional
print sources due to their feature of easy accessibility and vast storage capacity.
● Furthermore following the snowballing technique through the digital medium
can also help in ensuring the reliability and accuracy of the information included
in one’s research work.
● However, it is important to be careful while identifying, organizing, and
analyzing primary texts and articles before employing the snowballing
technique.
6. References:
1. Coleman, James. "Relational analysis: The study of social organizations with survey methods."
Human Organization: Journal of the Society for Applied Anthropology 17.4 (1958): 28-36. web. 28
August 2022. <https://meridian.allenpress.com/human-organization/article-
abstract/17/4/28/69903/Relational-Analysis-The-Study-of-Social>.
2. Goodman, Leo A. "Snowball Sampling." The Annals of Mathematical Statistics 32.1 (1961): 148-
170. web. 28 August 2022. <https://www.jstor.org/stable/2237615>.
3. Google Scholar. 20 November 2004. Google. web. 28 August 2022. <http://scholar.google.com/>.
4. Heckathorn, Douglas D. "SNOWBALL VERSUS RESPONDENT-DRIVEN SAMPLING." Sociological
Methodology 41.1 (2011): 355-366. web. 28 August 2022.
<https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3250988/#R3>.
5. Wallace, Mike and David Denyer. Snowballing. 30 May 2012. Economic and Social Research
Council. web. 28 August 2022. <https://www.restore.ac.uk/>.
6. Wohlin, Claes. "Guidelines for Snowballing in Systematic Literature Studies and a Replication in
Software Engineering." EASE'14: 18th International Conference on Evaluation and Assessment in
Software Engineering. Association for Computing Machinery Digital Library, 2014. 1-10. web. 28
August 2022. <https://dl.acm.org/doi/abs/10.1145/2601248.2601268>.
![What is Snowballing?
● A non-probability sampling technique developed by James Coleman and Leo
Goodman.
● Goodman defines it as a technique where, “A random sample of individuals is
drawn from a given finite population.”[2]
● Introduced as a ‘means for studying the structure of social networks’[4]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)