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Open accessJournal ArticleDOI: 10.1080/02680939.2019.1664768

The rise of global policy networks in education: analyzing Twitter debates on inclusive education using social network analysis

04 Mar 2021-Journal of Education Policy (Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals)-Vol. 36, Iss: 2, pp 211-231
Abstract: With the Convention on the Rights of Persons with Disabilities (CRPD), inclusive education has become the main alternative to special schools for the schooling of children with disabilities. In ord...

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Journal ArticleDOI: 10.1080/03057925.2017.1353824
Thibaut Lauwerier1Institutions (1)
02 Jan 2018-Compare
Abstract: This volume is a ‘must’ for all those who work on education policy. Indeed, it has the merit of bringing together the principal authors in this field, which means that it can be used as a reference...

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Topics: Education policy (58%), Work (electrical) (54%), Global education (54%)

38 Citations



Journal ArticleDOI: 10.1080/13504622.2019.1675593
Abstract: Since the UN Decade of Education for Sustainable Development (ESD), far-reaching efforts have been made to implement ESD worldwide. While ESD seems increasingly to be diffused as a social i...

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11 Citations


Open accessJournal ArticleDOI: 10.1016/J.TELPOL.2021.102125
Abstract: This study examines linkages between information and communication technology (ICT) dynamics, inequality and poverty in order to establish critical masses of poverty and inequality that should not be exceeded in order for ICT dynamics to promote gender inclusive education in 57 developing countries for the period 2012–2016. Poverty is measured with the poverty headcount ratio at national poverty lines (% of the population) while inequality is proxied by the Gini coefficient, the Atkinson index and the Palma ratio. The ICT dynamics are measured with ‘internet access in school’, ‘virtual social network’, ‘personal computers’ ‘mobile phone penetration”, ‘internet penetration’ and ‘fixed broadband subscriptions’. The empirical evidence is based on interactive Generalized Method of Moments estimators from which thresholds are computed contingent on the validity of tested hypotheses. First, the Gini coefficient should not exceed 0.5618 in order for ‘internet access in school’ to positively affect inclusive education. Second, the poverty headcount ratio at national poverty lines (% of the population) should remain below 33.6842% in order for ‘internet access in school’ to favorably influence inclusive education. Third, the Palma ratio should not exceed 3.3766 in order for internet penetration to favorably affect inclusive education. Fourth, for personal computers to increase inclusive education, the Gini coefficient, Palma ratio and poverty headcount (% of the population) should not exceed 0.4781, 3.5294 and 17.7272, respectively. The study confirms the significant role technological deepening plays in advancing inclusive education by means of policies that reduce poverty and income inequality, with potentially wider applicability to other developing economies. The study has provided poverty and inequality levels that should not be exceeded in order for personal computers, internet penetration and ‘internet access in school’ to promote gender inclusive education.

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Topics: Poverty (56%), Economic inequality (55%), Gini coefficient (54%) ... show more

7 Citations


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70 results found


Journal ArticleDOI: 10.1086/228311
Mark Granovetter1Institutions (1)
Abstract: How behavior and institutions are affected by social relations is one of the classic questions of social theory. This paper concerns the extent to which economic action is embedded in structures of social relations, in modern industrial society. Although the usual neoclasical accounts provide an "undersocialized" or atomized-actor explanation of such action, reformist economists who attempt to bring social structure back in do so in the "oversocialized" way criticized by Dennis Wrong. Under-and oversocialized accounts are paradoxically similar in their neglect of ongoing structures of social relations, and a sophisticated account of economic action must consider its embeddedness in such structures. The argument in illustrated by a critique of Oliver Williamson's "markets and hierarchies" research program.

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Topics: Embeddedness (63%), Social theory (57%), Social relation (55%) ... show more

24,320 Citations


Journal ArticleDOI: 10.1146/ANNUREV.SOC.27.1.415
Abstract: Similarity breeds connection. This principle—the homophily principle—structures network ties of every type, including marriage, friendship, work, advice, support, information transfer, exchange, comembership, and other types of relationship. The result is that people's personal networks are homogeneous with regard to many sociodemographic, behavioral, and intrapersonal characteristics. Homophily limits people's social worlds in a way that has powerful implications for the information they receive, the attitudes they form, and the interactions they experience. Homophily in race and ethnicity creates the strongest divides in our personal environments, with age, religion, education, occupation, and gender following in roughly that order. Geographic propinquity, families, organizations, and isomorphic positions in social systems all create contexts in which homophilous relations form. Ties between nonsimilar individuals also dissolve at a higher rate, which sets the stage for the formation of niches (localize...

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Topics: Homophily (74%), Propinquity (56%), Assortative mixing (56%) ... show more

13,795 Citations


Open accessProceedings ArticleDOI: 10.1145/1772690.1772751
26 Apr 2010-
Abstract: Twitter, a microblogging service less than three years old, commands more than 41 million users as of July 2009 and is growing fast. Twitter users tweet about any topic within the 140-character limit and follow others to receive their tweets. The goal of this paper is to study the topological characteristics of Twitter and its power as a new medium of information sharing.We have crawled the entire Twitter site and obtained 41.7 million user profiles, 1.47 billion social relations, 4,262 trending topics, and 106 million tweets. In its follower-following topology analysis we have found a non-power-law follower distribution, a short effective diameter, and low reciprocity, which all mark a deviation from known characteristics of human social networks [28]. In order to identify influentials on Twitter, we have ranked users by the number of followers and by PageRank and found two rankings to be similar. Ranking by retweets differs from the previous two rankings, indicating a gap in influence inferred from the number of followers and that from the popularity of one's tweets. We have analyzed the tweets of top trending topics and reported on their temporal behavior and user participation. We have classified the trending topics based on the active period and the tweets and show that the majority (over 85%) of topics are headline news or persistent news in nature. A closer look at retweets reveals that any retweeted tweet is to reach an average of 1,000 users no matter what the number of followers is of the original tweet. Once retweeted, a tweet gets retweeted almost instantly on next hops, signifying fast diffusion of information after the 1st retweet.To the best of our knowledge this work is the first quantitative study on the entire Twittersphere and information diffusion on it.

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Topics: Microblogging (55%)

5,761 Citations


Journal ArticleDOI: 10.1016/S0191-3085(00)22009-1
Ronald S. Burt1Institutions (1)
Abstract: This is a review of argument and evidence on the connection between social networks and social capital. My summary points are three: (1) Research and theory will better cumulate across studies if we focus on the network mechanisms responsible for social capital effects rather than trying to integrate across metaphors of social capital loosely tied to distant empirical indicators. (2) There is an impressive diversity of empirical evidence showing that social capital is more a function of brokerage across structural holes than closure within a network, but there are contingency factors. (3) The two leading network mechanisms can be brought together in a productive way within a more general model of social capital. Structural holes are the source of value added, but network closure can be essential to realizing the value buried in the holes.

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Topics: Structural holes (66%), Social network (64%), Social reproduction (62%) ... show more

3,242 Citations


Open accessJournal ArticleDOI: 10.1126/SCIENCE.1165821
13 Feb 2009-Science
Abstract: Over the past decade, there has been an explosion of interest in network research across the physical and social sciences. For social scientists, the theory of networks has been a gold mine, yielding explanations for social phenomena in a wide variety of disciplines from psychology to economics. Here, we review the kinds of things that social scientists have tried to explain using social network analysis and provide a nutshell description of the basic assumptions, goals, and explanatory mechanisms prevalent in the field. We hope to contribute to a dialogue among researchers from across the physical and social sciences who share a common interest in understanding the antecedents and consequences of network phenomena.

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Topics: Social network (67%), Social computing (61%), Social philosophy (60%) ... show more

2,988 Citations


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No. of citations received by the Paper in previous years
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