The Indian public sphere in social media era

The media in a number of Western countries, including Australia, could be forgiven for envying the growth of the Indian media in recent decades. In contrast to more mature media markets in Australia and elsewhere, the Indian media is surviving the onslaught of new media technologies including social media platforms available to news audiences as an alternative to traditional news media. However, despite the omnipresence and diversity of over 800 television channels, over 94,000 publications and hundreds of radio stations, the ‘commercial’ imperative of Indian news media has raised doubts about their capacity to meet the ‘ideals’ of the public sphere. This paper examines the Indian public sphere in terms of citizens’ increasing use of various social media platforms to express their anger, frustration and protest against the system of governance and corruption. It analyses the use of social media platforms by mainstream media, socio-political organisations and audiences alike during recent events such as the Mumbai terror attack in 2008; the anti-corruption movement in 2011; protests against a lack of safety for women in 2012–13; and the federal elections in 2014; to understand the implications for the public sphere in India. The paper outlines interplay between the mainstream media’s coverage of some of these significant events, and the audience conversations pertaining to these news events on various social media platforms. It explores the increased utilisation of social media platforms by youth and the middle class, who have often remained disengaged with governance in the country, as a sign of deepening democracy and widening public sphere in India, despite the ‘digital divide’ that still exists in the country.

Mapping potential risk for housing damage from ground movement due to climate change

The performance of footings in residential construction is influenced by the degree of ground movement, particularly in reactive soils, which is driven by the magnitude of change in soil moisture. New patterns of climate are affecting residential foundations and causing serious and expensive damage. This paper produces a map of potential risk for housing damage from ground movement due to climate change. Using a geographic information system, it combines information on (1) soil moisture change related to climate, using TMI as the indicator, and (2) population growth. Preliminary results, having Victoria, Australia, in the last decade as the case study, suggest that effects of climate change on soil, and resulting impacts on house foundations, are not being taken into consideration in current planning strategies for urban development. Most of the urban growth priority zones in the study area are susceptible to medium and high risk for damage. Producing new and renovated buildings that are durable in the long term is essential for the economy, environment and social welfare. The map presented here can assist policies and strategies towards urban resilience in the context of climate change.

Improving data forwarding in mobile social networks with infrastructure support: a space-crossing community approach

In this paper, we study two tightly coupled issues: space-crossing community detection and its influence on data forwarding in Mobile Social Networks (MSNs) by taking the hybrid underlying networks with infrastructure support into consideration. The hybrid underlying network is composed of large numbers of mobile users and a small portion of Access Points (APs). Because APs can facilitate the communication among long-distance nodes, the concept of physical proximity community can be extended to be one across the geographical space. In this work, we first investigate a space-crossing community detection method for MSNs. Based on the detection results, we design a novel data forwarding algorithm SAAS (Social Attraction and AP Spreading), and show how to exploit the space-crossing communities to improve the data forwarding efficiency. We evaluate our SAAS algorithm on real-life data from MIT Reality Mining and University of Illinois Movement (UIM). Results show that space-crossing community plays a positive role in data forwarding in MSNs in terms of delivery ratio and delay. Based on this new type of community, SAAS achieves a better performance than existing social community-based data forwarding algorithms in practice, including Bubble Rap and Nguyen's Routing algorithms. © 2014 IEEE.

Associations between skill perceptions and young children's actual fundamental movement skills

-Given that children with low movement skill competence engage in less physical activity, it is important to understand how children's perceptions relate to actual movement competence. This study examined relationships between (i) children's self-perception and objective assessments of their movement skills (object control and locomotor) and (ii) parents' perceptions of the children's movement skills and objective assessment. Children's skill perceptions were assessed using the Pictorial Scale of Perceived Movement Skill Competence for Young Children. Parent perceptions of their child's skills were assessed using a modified version of this instrument. The Test of Gross Motor Development-2nd edition assessed children's skills objectively. Participants were 136 Australian children (51% boys; M = 6.5 yr., SD = 1.1) and 133 parents. Regression analyses (by sex) examined the relationship between perceptions and children's scores for actual skilled performance. Boys' perceptions were associated with their actual object control ability. Parents accurately perceived boys' object control ability and girls' locomotor ability, but not the reverse. This suggests interventions aiming to improve children's movement skills could target parents and be designed to teach parents how to recognize good and poor skill performance in their children.

Social networks in changing environments

Social network analysis (SNA) has become a widespread tool for the study of animal social organisation. However despite this broad applicability, SNA is currently limited by both an overly strong focus on pattern analysis as well as a lack of dynamic interaction models. Here, we use a dynamic modelling approach that can capture the responses of social networks to changing environments. Using the guppy, Poecilia reticulata, we identified the general properties of the social dynamics underlying fish social networks and found that they are highly robust to differences in population density and habitat changes. Movement simulations showed that this robustness could buffer changes in transmission processes over a surprisingly large density range. These simulation results suggest that the ability of social systems to self-stabilise could have important implications for the spread of infectious diseases and information. In contrast to habitat manipulations, social manipulations (e.g. change of sex ratios) produced strong, but short-lived, changes in network dynamics. Lastly, we discuss how the evolution of the observed social dynamics might be linked to predator attack strategies. We argue that guppy social networks are an emergent property of social dynamics resulting from predator–prey co-evolution. Our study highlights the need to develop dynamic models of social networks in connection with an evolutionary framework.

Space-crossing : community-based data forwarding in mobile social networks under the hybrid communication architecture

In this paper, we study two tightly coupled issues, space-crossing community detection and its influence on data forwarding in mobile social networks (MSNs). We propose a communication framework containing the hybrid underlying network with access point (AP) support for data forwarding and the base stations for managing most of control traffic. The concept of physical proximity community can be extended to be one across the geographical space, because APs can facilitate the communication among long-distance nodes. Space-crossing communities are obtained by merging some pairs of physical proximity communities. Based on the space-crossing community, we define two cases of node local activity and use them as the input of inner product similarity measurement. We design a novel data forwarding algorithm Social Attraction and Infrastructure Support (SAIS), which applies similarity attraction to route to neighbor more similar to destination, and infrastructure support phase to route the message to other APs within common connected components. We evaluate our SAIS algorithm on real-life datasets from MIT Reality Mining and University of Illinois Movement (UIM). Results show that space-crossing community plays a positive role in data forwarding in MSNs. Based on this new type of community, SAIS achieves a better performance than existing popular social community-based data forwarding algorithms in practice, including Simbet, Bubble Rap and Nguyen's Routing algorithms.