Showing papers in "Social Networks in 2014"

TL;DR: In this paper, a survey of existing computational techniques for detecting anomalies in online social networks is presented and an overview of the types of problems that anomaly detection can address and identifies key areas for future research.

TL;DR: It is found that smaller samples do not offer an accurate picture of peripheral activity and the bias is greater for the network of mentions, partly because of the higher influence of snowballing in identifying relevant nodes.

TL;DR: The Stochastic degree sequence model (SDSM) involves the construction of empirical edge weight distributions from random bipartite networks with stochastic marginals, and is demonstrated using data on bill sponsorship in the 108th U.S. Senate.

TL;DR: It is found that a lack of meeting opportunities is an important reason why many personal relationships are discontinued, and that a path-dependent use of social contexts makes new relationships more likely to emerge in a specific context if existing network members are already met in that context.

TL;DR: Examination of the effects of multiplex networks of communication, coalitions, and issues on influence reputation demonstrates that multiple roles of confidant, collaborator, and issue advocate affect how group representatives understand the influence of those with whom they are tied.

TL;DR: It is found that the access to social capital on Facebook is primarily based on a reasonable amount of active communication, and which kinds of posts are most advantageous as well as questions of homophily based on social capital.

TL;DR: This paper considers in a systematic way which standard techniques are applicable to negative ties and what changes in interpretation have to be made because of the nature of the ties, and introduces some new techniques specifically designed for negative ties.

TL;DR: Examination of ethnic ingroup friendship in secondary school classes in England, Germany, the Netherlands and Sweden finds no evidence, however, that ethnic homophily is explained by cultural and socioeconomic homophilies.

TL;DR: A novel method for computing the political preferences of an organization's Twitter followers is presented and an application of this technique is presented to estimate thepolitical preferences of the audiences of U.S. media outlets, government agencies, and interest groups and think tanks.

TL;DR: In this article, the authors define efficiency on Twitter as the ratio between the emergent spreading process and the activity employed by the user, and show that some influential users efficiently cause remarkable collective reactions by each message sent, while the majority of users must employ extremely larger efforts to reach similar effects.

TL;DR: A new network measure of interest group coalitions based on cosigner status to United States Supreme Court amicus curiae briefs is created, illuminating the central players and overall characteristics of this dynamic network from 1930 to 2009.

TL;DR: The overall results indicate that food sharing networks largely correspond to kin-based networks of social interaction, suggesting that foodsharing is embedded in broader social relationships between households.

TL;DR: This question is investigated using the first large, general population sample survey to track changes in the political discussion partners named by respondents over the course of an election campaign, finding evidence of both positive and negative selection for political agreement.

TL;DR: For instance, the authors found that more foci are associated with perceptions of greater bridging social capital and more closure is associated with greater bonding social capital, while the positive relationship between foci and social capital was not confirmed.

TL;DR: It is argued that the structure of dependencies endogenous to the network is a major determinant of the network's formation and persistence and the empirical support found for each of these processes adds a new dimension to existing knowledge of the sanctioning process, casts doubt upon some previous findings, and opens important avenues for future research.

TL;DR: The results indicate that the cosponsorship network is a highly responsive network subject to external institutional pressures that more aggregated analyses would overlook.

TL;DR: The analysis shows that participants formulate candidate judgments that decay in time, but the decay occurs at a significantly lower rate among the better informed, so the influence of experts is not only due to their powers of persuasion, but also to the durability of their own privately formulated opinions.

TL;DR: In this paper, a measure for determining powerful nodal positions based on potential inter-actor control in "politically charged" networks, which contain both allies and adversaries, is proposed.

TL;DR: This paper shows how to combine statistical methods with visualization to address challenges of large and composed social networks, and how to arrange layouts differently to better bring out different aspects of the networks.

TL;DR: This paper differentiates air traffic networks on dimensions of scale (airport vs. metropolitan area), species, species, leisure, and season (summer vs. winter).

TL;DR: In this article, the authors present an approach of specifying a set of properties that a generic segregation measure might possess, and which, in their view, are relevant in substantial contexts.

TL;DR: The study shows that individually driven networking is related to broader network range, while structured foci networking has an inverted-U relationship to network range.

TL;DR: It is found that a more complete view of the network leads to faster coordination, but the magnitude of this effect depends on network structure, suggesting that changing what actors know about a network can improve outcomes without having to add connections that may impede overall performance.

TL;DR: It is evaluated how well the now standard “compound” political name generator captures interpersonal political networks, finding that it does quite well save a few items of significant political importance.

TL;DR: In this article, several approaches to the blockmodeling of multilevel network data are presented, such as a separate analysis of the levels, transforming all networks to one level and block modeling on this level using information from all levels, and a truly multi-level approach where all levels and ties among them are modeled at the same time.

TL;DR: The re-analysis of the historic network gives insights into what characteristics defined the friendship networks in school classes in Germany at the end of the 19th century, and finds a strong stratification, which is not always prevalent today.

TL;DR: This article put forward a variable clique overlap model for identifying information communities, or potentially overlapping subgroups of network actors among whom reinforced independent links ensure efficient communication, and found that the average intensity of communication between related individuals in information communities is greater than in other areas of the network.

TL;DR: Analyses reveal that statistical power is primarily a nonlinear function of network effect size (ρ) and network size (N), although both of these factors can interact with network density and network structure to impair power under certain rare conditions.

TL;DR: The use of Multiple Correspondence Analysis to analyze and graphically represent two-mode networks is discussed, and a Greenacre's doubling perspective is proposed to apply it.

TL;DR: It is concluded that the party has an internal structure made of a network of MPs informed by external social cleavages and held together by the common goal of being reelected, similar to a pure proportional electoral system and highly polarized audiences.