scholarly journals A partial organization approach to the dynamics of social order in social movement organizing

2020 ◽  
Vol 68 (4) ◽  
pp. 520-545
Author(s):  
Mikko Laamanen ◽  
Christine Moser ◽  
Sanne Bor ◽  
Frank den Hond
Keyword(s):  
Social Network ◽  
Social Movement ◽  
Social Order ◽  
Local Community ◽  
Organizational Dynamics ◽  
Archival Data ◽  
Alternative Currency ◽  
Partial Organization ◽  
Community Initiative ◽  
Over Time

This article builds on the theoretical notion that social order in organized settings is both emergent and decided. It examines the dynamics of emergent and decided social order in a timebank, a local community initiative within the alternative currency social movement. The authors propose that organized settings are in practice associated with a continuously evolving blend of elements of both decided and emergent social order; thus, allowing organizing to evolve over time. Shedding light on the broader puzzle of how social order in organized settings evolves, the authors empirically show how organizational dynamics change through the interplay of networks, institutions and decisions, as participants adopt and reject various elements of emergent and decided sources of social order. In their analysis, the authors combine content analysis and social network analysis of archival data to describe and explain dynamic and inherently relational organizing activities that unfold in the community’s day-to-day interactions.

Developing a sustainable Digital Health Innovation Ecosystem in a rural and resource-poor region: A monitored networking approach (Preprint)

2020 ◽  
Author(s):  
Arunangsu Chatterjee ◽  
Sebastian Stevens ◽  
Sheena Asthana ◽  
Ray B Jones
Keyword(s):  
Social Network ◽  
Network Analysis ◽  
Data Collection ◽  
Digital Health ◽  
Resource Poor Setting ◽  
Quadruple Helix ◽  
Innovation Ecosystem ◽  
Resource Poor ◽  
Quadruple Helix Model ◽  
Over Time

BACKGROUND Digital health (DH) innovation ecosystems (IE) are key to the development of new e-health products and services. Within an IE, third parties can help promote innovation by acting as knowledge brokers and the conduits for developing inter-organisational and interpersonal relations, particularly for smaller organisations. Kolehmainen’s quadruple helix model suggests who the critical IE actors are, and their roles. Within an affluent and largely urban setting, such ecosystems evolve and thrive organically with minimal intervention due to favourable economic and geographical conditions. Facilitating and sustaining a thriving DH IE within a resource-poor setting can be far more challenging even though far more important for such peripheral economics and the health and well-being of those communities. OBJECTIVE Taking a rural and remote region in the UK, as an instance of an IE in a peripheral economy, we adapt the quadruple helix model of innovation, apply a monitored social networking approach using McKinsey’s Three Horizons of growth to explore: • What patterns of connectivity between stakeholders develop within an emerging digital health IE? • How do networks develop over time in the DH IE? • In what ways could such networks be nurtured in order to build the capacity, capability and sustainability of the DH IE? METHODS Using an exploratory single case study design for a developing digital health IE, this study adopts a longitudinal social network analysis approach, enabling the authors to observe the development of the innovation ecosystem over time and evaluate the impact of targeted networking interventions on connectivity between stakeholders. Data collection was by an online survey and by a novel method, connection cards. RESULTS Self-reported connections between IE organisations increased between the two waves of data collection, with Small and Medium-sized Enterprises (SMEs) and academic institutions the most connected stakeholder groups. Patients involvement improved over time but still remains rather peripheral to the DH IE network. Connection cards as a monitoring tool worked really well during large events but required significant administrative overheads. Monitored networking information categorised using McKinsey’s Three Horizons proved to be an effective way to organise networking interventions ensuring sustained engagement. CONCLUSIONS The study reinforces the difficulty of developing and sustaining a DH IE in a resource-poor setting. It demonstrates the effective monitored networking approach supported by Social Network Analysis allows to map the networks and provide valuable information to plan future networking interventions (e.g. involving patients or service users). McKinsey’s Three Horizons of growth-based categorisation of the networking assets help ensure continued engagement in the DH IE contributing towards its long-term sustainability. Collecting ongoing data using survey or connection card method will become more labour intensive and ubiquitous ethically driven data collection methods can be used in future to make the process more agile and responsive.

A network case of knowledge brokering

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Joelle Rodway ◽  
Stephen MacGregor ◽  
Alan Daly ◽  
Yi-Hwa Liou ◽  
Susan Yonezawa ◽  
...  
Keyword(s):  
Social Network ◽  
Learning Community ◽  
Knowledge Exchange ◽  
Point Of View ◽  
Network Activity ◽  
Centrality Measures ◽  
Knowledge Brokering ◽  
Content Type ◽  
Knowledge Brokers ◽  
Over Time

PurposeThe purpose of this paper is two-fold: (1) to offer a conceptual understanding of knowledge brokering from a sociometric point-of-view; and (2) to provide an empirical example of this conceptualization in an education context.Design/methodology/approachWe use social network theory and analysis tools to explore knowledge exchange patterns among a group of teachers, instructional coaches and administrators who are collectively seeking to build increased capacity for effective mathematics instruction. We propose the concept of network activity to measure direct and indirect knowledge brokerage through the use of degree and betweenness centrality measures. Further, we propose network utility—measured by tie multiplexity—as a second key component of effective knowledge brokering.FindingsOur findings suggest significant increases in both direct and indirect knowledge brokering activity across the network over time. Teachers, in particular, emerge as key knowledge brokers within this networked learning community. Importantly, there is also an increase in the number of resources exchanged through network relationships over time; the most active knowledge brokers in this social ecosystem are those individuals who are exchanging multiple forms of knowledge.Originality/valueThis study focuses on knowledge brokering as it presents itself in the relational patterns among educators within a social ecosystem. While it could be that formal organizational roles may encapsulate knowledge brokering across physical structures with an education system (e.g. between schools and central offices), these individuals are not necessarily the people who are most effectively brokering knowledge across actors within the broader social network.

scholarly journals Temporal Activity Path Based Character Correction in Heterogeneous Social Networks via Multimedia Sources

2018 ◽  
Vol 2018 ◽  
pp. 1-16
Author(s):  
Jun Long ◽  
Lei Zhu ◽  
Zhan Yang ◽  
Chengyuan Zhang ◽  
Xinpan Yuan
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Large Scale ◽  
Multimedia Data ◽  
Attribute Information ◽  
Novel Method ◽  
Relationship Network ◽  
Heterogeneous Social Networks ◽  
The Relationship ◽  
Over Time

Vast amount of multimedia data contains massive and multifarious social information which is used to construct large-scale social networks. In a complex social network, a character should be ideally denoted by one and only one vertex. However, it is pervasive that a character is denoted by two or more vertices with different names; thus it is usually considered as multiple, different characters. This problem causes incorrectness of results in network analysis and mining. The factual challenge is that character uniqueness is hard to correctly confirm due to lots of complicated factors, for example, name changing and anonymization, leading to character duplication. Early, limited research has shown that previous methods depended overly upon supplementary attribute information from databases. In this paper, we propose a novel method to merge the character vertices which refer to the same entity but are denoted with different names. With this method, we firstly build the relationship network among characters based on records of social activities participating, which are extracted from multimedia sources. Then we define temporal activity paths (TAPs) for each character over time. After that, we measure similarity of the TAPs for any two characters. If the similarity is high enough, the two vertices should be considered as the same character. Based on TAPs, we can determine whether to merge the two character vertices. Our experiments showed that this solution can accurately confirm character uniqueness in large-scale social network.

Quantifying Virality of Information in Online Social Networks

2012 ◽  
Vol 4 (1) ◽  
pp. 32-45 ◽  
Author(s):  
Abhishek Vaish ◽  
Rajiv Krishna G. ◽  
Akshay Saxena ◽  
Dharmaprakash M. ◽  
Utkarsh Goel
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Online Social Networks ◽  
Online Social Network ◽  
Critical Factors ◽  
Asset Valuation ◽  
Valuation Technique ◽  
Information Item ◽  
Viral Nature ◽  
Over Time

The aim of this research is to propose a model through which the viral nature of an information item in an online social network can be quantified. Further, the authors propose an alternate technique for information asset valuation by accommodating virality in it which not only complements the existing valuation system, but also improves the accuracy of the results. They use a popularly available YouTube dataset to collect attributes and measure critical factors such as share-count, appreciation, user rating, controversiality, and comment rate. These variables are used with a proposed formula to obtain viral index of each video on a given date. The authors then identify a conventional and a hybrid asset valuation technique to demonstrate how virality can fit in to provide accurate results.The research demonstrates the dependency of virality on critical social network factors. With the help of a second dataset acquired, the authors determine the pattern virality of an information item takes over time.

scholarly journals GAME CENTER: WAHANA PERMAINAN BERBASIS TRADISIONAL DAN DIGITAL

2020 ◽  
Vol 9 (1) ◽  
pp. 1
Author(s):  
Sari Wahyuni ◽  
M Ridha Alhamdani ◽  
Jawas Dwijo Putro
Keyword(s):  
Local Community ◽  
The Other ◽  
High Demand ◽  
Central Function ◽  
Main Building ◽  
Static Data ◽  
External Sources ◽  
Communal Space ◽  
Space Requirements ◽  
Over Time

Over time, everyone grows up with what he remembers during our lifetime. Game Center is the place for the memory gathering. This has an impact on the interest of both young and old players which will continue to grow every year. Currently Pontianak does not have this game center. Meanwhile, game enthusiasts, especially in terms of audio-visual, are getting higher. From the static data in Statista, it states that the high demand and activity from games. Therefore, it is necessary to design a Game Center. The Game Center design is designed not only as a mere function of a game center, but also as a place for traditional games of the local community as well as a communal space that fills social activities. This game center design is done by analyzing internal and external sources and literature as well as standard references in existing game centers. The space requirements of the actors' activities also need to be analyzed to find the spatial program in the game center. Function, layout, circulation and utility are prioritized to produce a Game Center with communal functions. The building is designed to have three separate building masses. One mass building in the middle as the main building with a central function. The other two masses of the building are placed around the main building.

scholarly journals A Study of Rumor Detection based on Social Network Topic Models Relationship

2020 ◽  
Author(s):  
Diogo Nolasco ◽  
Jonice Oliveira
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Local Community ◽  
Topic Model ◽  
Fake News ◽  
Detection Problem ◽  
Model Method ◽  
Show Evidence ◽  
Rumor Detection ◽  
Scientific Topic

The rumor detection problem on social networks has attracted considerable attention in recent years with the rise of concerns about fake news and disinformation. Most previous works focused on detecting rumors by individual messages, classifying whether a post or blog entry is considered a rumor or not. This paper proposes a method for rumor detection on topic-level that identifies whether a social topic related to a scientific topic is a rumor. We propose the use of a topic model method on social and scientific domains and correlate the topics found to detect the most prone to be rumors. Results applied in the Zika epidemic scenario show evidence that the least correlated topics contain a mix of rumors and local community discussions.

scholarly journals Authors’ Response to Peer Reviews of “A Local Community-Based Social Network for Mental Health and Well-being (Quokka): Exploratory Feasibility Study” (Preprint)

2021 ◽  
Author(s):  
Cynthia Shih ◽  
Ruhi Pudipeddi ◽  
Arany Uthayakumar ◽  
Peter Washington
Keyword(s):  
Mental Health ◽  
Social Network ◽  
Peer Review ◽  
Feasibility Study ◽  
Local Community ◽  
Well Being ◽  
Community Based ◽  
Peer Reviews ◽  
Health And Well Being

UNSTRUCTURED These are authors' responses to peer review of ms#24972.

scholarly journals Rurification of Religion. Foci and Suggrundaria at the Roman Vicus of Falacrinae (Cittareale, Rieti, Italy)

2021 ◽  
pp. 131-171
Author(s):  
Valentino Gasparini
Keyword(s):  
Rural Communities ◽  
Local Community ◽  
Archaic Period ◽  
Point Of View ◽  
Late Neolithic ◽  
Religious Traditions ◽  
North East ◽  
Urban Patterns ◽  
Urban Contexts ◽  
Over Time

The results of the archaeological exploration of the Roman vicus of Falacrinae, placed in the Upper Sabina 78 miles north-east of Rome, represent excellent first-hand material for testing the concept of “rurification” of religion.  The frequentation of the area goes back over time at least to the late Neolithic, but it is only in the Archaic period that a temple was built, soon converting itself into a sort of pole of attraction of the local community. After the Roman conquest (290 BCE), an entire village gradually arose around the monument. 129 sacrificial foci, dated between the late 3rd and the second half of the 1st cent. BCE (probably linked with the festivals of the Feriae Sementivae, Paganalia or Compitalia), and few burials (suggrundaria) belonging to perinatal foetuses of 30/40 weeks of gestation, dated during the 2nd and the first half of the 1st cent. BCE, are the most intriguing ritual practices that the excavations have been able to identify. The analysis of these practices encourages to conclude that the local rural communities: 1) adopted group-styles of religious grouping significantly different from those taking place in urban contexts; 2) could strongly modify hierarchies and rituals performed in the cities; 3) cannot necessarily be considered as “deviant” from the normative point of view; 4) could easily negotiate between local religious traditions and urban patterns.

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