Toward Meaningful Connectivity: Using Multilevel Communication Research to Reframe Digital Inequality

Digital inequality, or unequal access to the Internet and technologies that connect to it, has preoccupied communication scholars since the Internet's introduction into popular culture. The relationships between digital and broader social inequalities suggest that meaningful digital connectivity—that is, having the technical skills necessary to engage technology and mobilize information resources to address everyday needs—can empower socially disenfranchised individuals, families, and communities to address challenges related to those disparities. In this essay, we overview the arc of communication research on technology engagement and its consequences. On this foundation, we argue why multilevel research that accounts for individual‐, family‐, and community‐level influences on meaningful digital connectivity is the best path forward for research on digital inequality.     

The Social News Gap: How News Reading and News Sharing Diverge

This article seeks to explain variation in news sharing patterns on social media. It finds that news editors have considerable power to shape the social media agenda through the use of “story importance cues” but also shows that there are some areas of news reporting (such as those related to crime and disasters) where this power does not apply. This highlights the existence of a social “news gap” where social media filters out certain types of news, producing a social media news agenda which has important differences from its traditional counterpart. The discussion suggests that this may be consequential for perceptions of crime and engagement with politics; it might even stimulate a partial reversal of the tabloidization of news outlets.     

Robust cycles in Kolmogorov–Lotka–Volterra class of models with intraspecific co-operation

Using the Andronov–Hopf bifurcation theorem and the Poincaré–Bendixson Theorem, we explore robust cyclical possibilities in Kolmogorov–Lotka–Volterra class of models with positive intraspecific cooperation (in the form of social networks) in the prey population. We find that this additional feedback effect of intraspecific cooperation introduces nonlinearities which modify the cyclical outcomes of the model. We show that the cyclical outcomes are more robust than in the existing literature in this area due to introduction of such non-linearities. We also demonstrate the possibilities of multiple limit cycles under certain situations.     

Arrow's Theorem,Weglorz' Models and the Axiom of Choice

Applying Weglorz' mode s of set theory without the axiom of choice, we investigate Arrow‐type social we fare functions for infinite societies with restricted coalition algebras. We show that there is a reasonable, nondictatorial social welfare function satisfying “finite discrimination”, if and only if in Weglorz' mode there is a free ultrafilter on a set representing the individuals.     

Community detection in social networks based on improved Label Propagation Algorithm and balanced link density

Nowadays, community detection has been raised as one of the key research areas in the online social networks mining. One of the most common algorithms in this field is label propagation algorithm (LPA). Even though the LPA method has advantages such as simplicity in understanding and implementation, as well as linear time complexity, it has an important disadvantage of the uncertainty and instability in outcomes, that is, the algorithm detects and reports different combinations of communities in each run. This problem originates from the nature of random selection in the LPA method. In this paper, a novel method is proposed based on the LPA method and the inherent structure, that is, link density feature, of the input network. The proposed method uses a sensitivity parameter (balance parameter); by choosing the appropriate values for it, the desired qualities of the identified communities can be achieved. The proposed method is called Balanced Link Density-based Label Propagation (BLDLP). In comparison with the basic LPA, the proposed method has an advantage of certainty and stability in the output results, whereas its time complexity is still comparable with the basic LPA and of course lowers than many other approaches. The proposed method has been evaluated on real-world known datasets, such as the Facebook social network and American football clubs, and by comparing it with the basic LPA, the effectiveness of the proposed method in terms of the quality of the communities found and the time complexity has been shown.     

Temporal graphs

We introduce the idea of temporal graphs, a representation that encodes temporal data into graphs while fully retaining the temporal information of the original data. This representation lets us explore the dynamic temporal properties of data by using existing graph algorithms (such as shortest-path), with no need for data-driven simulations. We also present a number of metrics that can be used to study and explore temporal graphs. Finally, we use temporal graphs to analyse real-world data and present the results of our analysis.     

Collaborate,compete and share

We introduce and study a model of an interacting population of agents who collaborate in groups which compete for limited resources. Groups are formed by random matching agents and their worth is determined by the sum of the efforts deployed by agents in group formation. Agents, on their side, have to share their effort between contributing to their group’s chances to outcompete other groups and resource sharing among partners, when the group is successful. A simple implementation of this strategic interaction gives rise to static and evolutionary properties with a very rich phenomenology. A robust emerging feature is the separation of the population between agents who invest mainly in the success of their group and agents who concentrate in getting the largest share of their group’s profits.     

“纽扣效应”视阈下高职大学生社会实践创新研究

文章在总结高职大学生社会实践创新基本经验基础上, 对实践创新意识、实践创新内容、实践创新机制和实践创新载体上存在的问题进行深入的研究, 并尝试从“纽扣效应”视角归纳出实践创新过程中不可或缺的四大力量——“个体出力”、“团队合力”、“领导给力”、“基地借力”, 以开创高职大学生社会实践创新发展的新局面。     

一种基于椭圆曲线的社交网络协议

为了解决社交网络(SNS)易遭受中间友人攻击的缺点,提出了一个新协议,通过结合异或(XOR)编码,并引入杂凑函数、消息认证等密码学机制,使得提出的协议简单易行且为轻量级.通过安全性分析和计算量分析,证明该协议能够有效地抵抗中间友人攻击和重放攻击,同时较大程度降低计算量,节省存储空间.     

The emergence of leadership in social networks

We study a networked version of the minority game in which agents can choose to follow the choices made by a neighbouring agent in a social network. We show that for a wide variety of networks a leadership structure always emerges, with most agents following the choice made by a few agents. We find a suitable parameterisation which highlights the universal aspects of the behaviour and which also indicates where results depend on the type of social network.