Emerging topic detection on Twitter based on temporal and social terms evaluation

Cataldi, Mario; Di, Luigi; Schifanella, Claudio

doi:10.1145/1814245.1814249

Cited by 421 publications

(262 citation statements)

References 22 publications

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“…Furthermore, these storm and strong wind conditions can provide a pick-up/drop off process, and enhance the along-shelf current towards lower latitudes. This period of ideal conditions, with low temperatures and an enhanced northward current is observed at the end of Winter and late Spring in this region [98,99]. facilitating long-distance dispersal and transport of their propagules to suitable niches [25].…”

Section: Discussionmentioning

confidence: 95%

Kelps’ Long-Distance Dispersal: Role of Ecological/Oceanographic Processes and Implications to Marine Forest Conservation

et al. 2018

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Long-distance dispersal is one of the main drivers structuring the distribution of marine biodiversity. This study reports the first occurrence of Macrocystis pyrifera and Durvillaea antarctica rafts on the southwestern warm temperate coast of the Atlantic Ocean. Our results indicate that an extreme meteo-oceanographic event, characterized by a northward, displacement of cold sub-Antarctic oceanic waters driven by an extratropical cyclone, could account for these unusual occurrences. A niche model based on known current distribution and maximum entropy principle (MAXENT), revealed the availability of suitable habitats at lower latitudes, outside their actual distribution edges. The distributional boundaries, mainly driven by temperature and irradiance, suggest the existence of environmental suitability in warm temperate areas, as well as in the Northern Hemisphere off Atlantic and Asian coasts. These theoretical edges and respective environmental drivers agree with the physiological affinities of both species, supporting the hypothesis that these variables act as limiting factors for their occurrences in tropical or warmer areas. Emerging regions can function as Diversity 2018, 10, 11; doi:10.3390/d10010011 www.mdpi.com/journal/diversity Diversity 2018, 10, 11 2 of 25 refuges and stepping-stones, providing substrate with adequate habitat conditions for recruitment of propagules, allowing eventual colonization. Long dispersal events reinforce the need for an extensive discussion on selective management of natural dispersion, biological invasions, refuge mapping and conservation initiatives in a transnational perspective.

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Section: Discussionmentioning

confidence: 95%

Kelps’ Long-Distance Dispersal: Role of Ecological/Oceanographic Processes and Implications to Marine Forest Conservation

et al. 2018

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“…Topic detection and tracking is a task that has drawn much attention in recent years and has been applied to a variety of scenarios, such as social networks (Cataldi, Di Caro & Schifanella, 2010;Mathioudakis & Koudas, 2010), blogs (Gruhl et al, 2004;Oka, Abe & Kato, 2006), emails (Morinaga & Yamanishi, 2004 and scientific literature (Bolelli, Ertekin & Giles, 2009;Decker et al, 2007;Erten et al, 2004;Lv et al, 2011;Osborne, Scavo & Motta, 2014;Sun, Ding & Lin, 2016;Tseng et al, 2009).…”

Section: Related Workmentioning

confidence: 99%

How are topics born? Understanding the research dynamics preceding the emergence of new areas

Salatino

Osborne

Motta

2017

PeerJ Computer Science

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The ability to promptly recognise new research trends is strategic for many stakeholders, including universities, institutional funding bodies, academic publishers and companies. While the literature describes several approaches which aim to identify the emergence of new research topics early in their lifecycle, these rely on the assumption that the topic in question is already associated with a number of publications and consistently referred to by a community of researchers. Hence, detecting the emergence of a new research area at an embryonic stage, i.e., before the topic has been consistently labelled by a community of researchers and associated with a number of publications, is still an open challenge. In this paper, we begin to address this challenge by performing a study of the dynamics preceding the creation of new topics. This study indicates that the emergence of a new topic is anticipated by a significant increase in the pace of collaboration between relevant research areas, which can be seen as the 'parents' of the new topic. These initial findings (i) confirm our hypothesis that it is possible in principle to detect the emergence of a new topic at the embryonic stage, (ii) provide new empirical evidence supporting relevant theories in Philosophy of Science, and also (iii) suggest that new topics tend to emerge in an environment in which weakly interconnected research areas begin to cross-fertilise.

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“…These methods, although still very new, are already very popular. Methods used for network analyses, such as anomaly detection [47], discrimination discovery [48], opinion leaders detection [49], event detection [50], role mining [51], rumor propagation detection system [52], conflict detection [53], and topic detection [54], can also greatly contribute in the field of sustainable development.…”

Section: Effect Of Big Social Network Data On Developmental Goalsmentioning

confidence: 99%

Big Social Network Data and Sustainable Economic Development

Can

Alataş

2017

Sustainability

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New information technologies have led to the rapid and effective growth of social networks. The amount of data produced by social networks has increased the value of the big data concept, which is one of the popular current phenomena. The immediate or unpredictable effects of a wide array of economic activities on large masses and the reactions to them can be measured by using social media platforms and big data methods. Thus, it would be extremely beneficial to analyze the harmful environmental and social impacts that are caused by unsustainable business applications. As social networks and big data are popular realms currently, their efficient use would be an important factor in sustainable economic development. Accurate analysis of people's consumption habits and economic tendencies would provide significant advantages to companies. Moreover, unknown consumption factors that affect the economic preferences of individuals can be discovered and economic efficiency can be increased. This study shows that the numerous solution opportunities that are provided by social networks and big data have become significant tools in dynamic policy creation by companies and states, in solving problems related to women's rights, the environment, and health.

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Emerging topic detection on Twitter based on temporal and social terms evaluation

Cited by 421 publications

References 22 publications

Kelps’ Long-Distance Dispersal: Role of Ecological/Oceanographic Processes and Implications to Marine Forest Conservation

Kelps’ Long-Distance Dispersal: Role of Ecological/Oceanographic Processes and Implications to Marine Forest Conservation

How are topics born? Understanding the research dynamics preceding the emergence of new areas

Big Social Network Data and Sustainable Economic Development

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