scholarly journals A Java-Based Distributed Approach for Generating Large-Scale Social Network Graphs

2016 ◽  
pp. 401-417 ◽  
Author(s):  
Vlad Şerbănescu ◽  
Keyvan Azadbakht ◽  
Frank de Boer
Keyword(s):  
Social Network ◽  
Large Scale ◽  
Distributed Approach

scholarly journals Distributed Centrality Analysis of Social Network Data Using MapReduce

Algorithms ◽  
2019 ◽  
Vol 12 (8) ◽  
pp. 161 ◽  
Author(s):  
Ranjan Kumar Behera ◽  
Santanu Kumar Rath ◽  
Sanjay Misra ◽  
Robertas Damaševičius ◽  
Rytis Maskeliūnas
Keyword(s):  
Social Network ◽  
Large Scale ◽  
Network Data ◽  
Network Centrality ◽  
Efficient Computation ◽  
Social Network Data ◽  
Distributed Approach ◽  
Hadoop Platform ◽  
Behavior Network ◽  
Centrality Analysis

Analyzing the structure of a social network helps in gaining insights into interactions and relationships among users while revealing the patterns of their online behavior. Network centrality is a metric of importance of a network node in a network, which allows revealing the structural patterns and morphology of networks. We propose a distributed computing approach for the calculation of network centrality value for each user using the MapReduce approach in the Hadoop platform, which allows faster and more efficient computation as compared to the conventional implementation. A distributed approach is scalable and helps in efficient computations of large-scale datasets, such as social network data. The proposed approach improves the calculation performance of degree centrality by 39.8%, closeness centrality by 40.7% and eigenvalue centrality by 41.1% using a Twitter dataset.

Topic Modeling in Large Scale Social Network Data

2015 ◽  
Author(s):  
Aman Ahuja ◽  
Wei Wei ◽  
Kathleen M. Carley
Keyword(s):  
Social Network ◽  
Topic Modeling ◽  
Large Scale ◽  
Network Data ◽  
Social Network Data

scholarly journals Social Network Analysis and Mining to Monitor and Identify Problems with Large-Scale Information and Communication Technology Interventions

PLoS ONE ◽  
2016 ◽  
Vol 11 (1) ◽  
pp. e0146220 ◽  
Author(s):  
Aleksandra do Socorro da Silva ◽  
Silvana Rossy de Brito ◽  
Nandamudi Lankalapalli Vijaykumar ◽  
Cláudio Alex Jorge da Rocha ◽  
Maurílio de Abreu Monteiro ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Information And Communication Technology ◽  
Communication Technology ◽  
Large Scale ◽  
Information And Communication

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.

SageBook: Toward a cross-generational social network for the Jewish sages’ prosopography

2018 ◽  
Vol 34 (3) ◽  
pp. 676-695
Author(s):  
Maayan Zhitomirsky-Geffet ◽  
Gila Prebor
Keyword(s):  
Social Network ◽  
Quantitative Analysis ◽  
Large Scale ◽  
Rabbinic Literature ◽  
Jewish Law ◽  
Related Data ◽  
Jewish Thought ◽  
Argumentation Analysis

Abstract In this research we devised and implemented a semi-automatic approach for building a SageBook–a cross-generational social network of the Jewish sages from the Rabbinic literature. The proposed methodology is based on a shallow argumentation analysis leading to detection of lexical–syntactic patterns which represent different relationships between the sages in the text. The method was successfully applied and evaluated on the corpus of the Mishna, the first written work of the Rabbinic Literature which provides the foundation to the Jewish law development. The constructed prosopographical database and the network generated from its data enable a large-scale quantitative analysis of the sages and their related data, and therefore might contribute to the research of the Talmudic literature and evolution of the Jewish thought throughout the two last millennia.

scholarly journals Guarding Against Large-Scale Scrabble In Social Network

2014 ◽  
Vol 3 (12) ◽  
pp. 795-798
Author(s):  
Geerthidevi K G ◽  
Dr. T. Senthil Prakash ◽  
Prakadeswaran M.E
Keyword(s):  
Social Network ◽  
Large Scale

scholarly journals Distributed Weighted Least-Squares and Gaussian Belief Propagation: An Integrated Approach

2021 ◽  
Author(s):  
Dino Zivojevic ◽  
Muhamed Delalic ◽  
Darijo Raca ◽  
Dejan Vukobratovic ◽  
Mirsad Cosovic
Keyword(s):  
Least Squares ◽  
Large Scale ◽  
Belief Propagation ◽  
Weighted Least Squares ◽  
Measurement Data ◽  
Integrated Approach ◽  
Factor Graph ◽  
State Variables ◽  
Large Scale Systems ◽  
Distributed Approach

The purpose of a state estimation (SE) algorithm is to estimate the values of the state variables considering the available set of measurements. The centralised SE becomes impractical for large-scale systems, particularly if the measurements are spatially distributed across wide geographical areas. Dividing the large-scale systems into clusters (\ie subsystems) and distributing the computation across clusters, solves the constraints of centralised based approach. In such scenarios, using distributed SE methods brings numerous advantages over the centralised ones. In this paper, we propose a novel distributed approach to solve the linear SE model by combining local solutions obtained by applying weighted least-squares (WLS) of the given subsystems with the Gaussian belief propagation (GBP) algorithm. The proposed algorithm is based on the factor graph operating without a central coordinator, where subsystems exchange only ``beliefs", thus preserving privacy of the measurement data and state variables. Further, we propose an approach to speed-up evaluation of the local solution upon arrival of a new information to the subsystem. Finally, the proposed algorithm provides results that reach accuracy of the centralised WLS solution in a few iterations, and outperforms vanilla GBP algorithm with respect to its convergence properties.

scholarly journals Studying Positive and Negative Direct and Extended Contact: Complementing Self-Reports With Social Network Analysis

2017 ◽  
Vol 43 (11) ◽  
pp. 1566-1581 ◽  
Author(s):  
Ralf Wölfer ◽  
Eva Jaspers ◽  
Danielle Blaylock ◽  
Clarissa Wigoder ◽  
Joanne Hughes ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Intergroup Relations ◽  
Large Scale ◽  
Intergroup Contact ◽  
Network Analyses ◽  
Self Reports ◽  
Extended Contact ◽  
Contact Parameters

Traditionally, studies of intergroup contact have primarily relied on self-reports, which constitute a valid method for studying intergroup contact, but has limitations, especially if researchers are interested in negative or extended contact. In three studies, we apply social network analyses to generate alternative contact parameters. Studies 1 and 2 examine self-reported and network-based parameters of positive and negative contact using cross-sectional datasets ( N = 291, N = 258), indicating that both methods help explain intergroup relations. Study 3 examines positive and negative direct and extended contact using the previously validated network-based contact parameters in a large-scale, international, and longitudinal dataset ( N = 12,988), demonstrating that positive and negative direct and extended contact all uniquely predict intergroup relations (i.e., intergroup attitudes and future outgroup contact). Findings highlight the value of social network analysis for examining the full complexity of contact including positive and negative forms of direct and extended contact.

Variation in Swedish address practices

2006 ◽  
Vol 29 (2) ◽  
pp. 18.1-18.15 ◽  
Author(s):  
Catrin Elisabeth Norrby
Keyword(s):  
Social Network ◽  
Present Article ◽  
Large Scale ◽  
Service Encounters ◽  
Very Old ◽  
Quantitative Results

This article explores variation in address in contemporary Swedish in Sweden-Swedish and Finland-Swedish. The research is part of a large-scale Australian project on changes in the address systems of French, German and Swedish. The present article focuses on results from 72 social network interviews conducted in Sweden (Gothenburg) and Finland (Vaasa). Both quantitative results (questionnaire part) and qualitative results (interview part) are presented. The findings suggest that the V pronoun of address – ni – is gradually disappearing in both national varieties. This tendency is clearly stronger in Sweden-Swedish; in spoken Sweden-Swedish V hardly exists any more, except for a controversial re-entry in communication between the young and middleaged and the very old in service encounters (c.f. Mårtensson 1986). Furthermore the results indicate that there is considerable variation between written (impersonal) and spoken Sweden-Swedish with a much higher acceptance for the V pronoun in written, impersonal contexts. The study demonstrates that national variation is considerable with much more use of V in Finland-Swedish.

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