The Lifecycle and Cascade of WeChat Social Messaging Groups

Social instant messaging services are emerging as a transformative form with which people connect, communicate with friends in their daily life - they catalyze the formation of social groups, and they bring people stronger sense of community and connection. However, research community still knows little about the formation and evolution of groups in the context of social messaging - their lifecycles, the change in their underlying structures over time, and the diffusion processes by which they develop new members. In this paper, we analyze the daily usage logs from WeChat group messaging platform - the largest standalone messaging communication service in China - with the goal of understanding the processes by which social messaging groups come together, grow new members, and evolve over time. Specifically, we discover a strong dichotomy among groups in terms of their lifecycle, and develop a separability model by taking into account a broad range of group-level features, showing that long-term and short-term groups are inherently distinct. We also found that the lifecycle of messaging groups is largely dependent on their social roles and functions in users' daily social experiences and specific purposes. Given the strong separability between the long-term and short-term groups, we further address the problem concerning the early prediction of successful communities. In addition to modeling the growth and evolution from group-level perspective, we investigate the individual-level attributes of group members and study the diffusion process by which groups gain new members. By considering members' historical engagement behavior as well as the local social network structure that they embedded in, we develop a membership cascade model and demonstrate the effectiveness by achieving AUC of 95.31% in predicting inviter, and an AUC of 98.66% in predicting invitee.Comment: 10 pages, 8 figures, to appear in proceedings of the 25th International World Wide Web Conference (WWW 2016

A Massively Scalable Architecture For Instant Messaging & Presence

This paper analyzes the scalability of Instant Messaging & Presence (IM&P) architectures. We take a queueing-based modelling and analysis approach to find the bottlenecks of the current IM&P architecture at the Dutch social network Hyves, as well as of alternative architectures. We use the Hierarchical Evaluation Tool (HIT) to create and analyse models analytically. Based on these results, we recommend a new architecture that provides better scalability than the current one. \u

A scalable reliable instant messenger using the SD Erlang libraries

Erlang has world leading reliability capabilities, but while it scales extremely well within a single node, distributed Erlang has some scalability issues. The Scalable Distributed (SD) Erlang libraries have been designed to address the scalability limitations while preserving the reliability model, and shown to deliver significant performance benefits above 40 hosts using some relatively simple benchmarks. This paper compares the reliability and scalability of SD Erlang and distributed Erlang using an Instant Messaging (IM) server benchmark that is a far more typical Erlang application; a relatively large and sophisticated benchmark; has throughput as the key performance metric; and uses non-trivial reliability mechanisms. We provide a careful reliability evaluation using chaos monkey. The key performance results consider scenarios with and without failures on up to 17 server hosts (272 cores). We show that SD Erlang adds no performance overhead when all nodes are grouped in a single s_group. However, either adding redundant router nodes in distributed Erlang applications, or dividing a set of nodes into small s_groups in SD Erlang applications, have small negative impact. Both the distributed Erlang and SD Erlang IM tolerate failures and, up to the failure rates measured, the failures have no impact on throughput. The IM implementations show that SD Erlang preserves the distributed Erlang reliability properties and mechanisms

Ambient video awareness: “It’s great, but I still don’t want it”

Video instant messaging tools are not as widely used as we would have predicted and have so far failed to fulfill their promise to become an indispensable tool of social presence, interacting within the workgroup environment and creating a sense of community. Whilst users are becoming comfortable with videoconferencing and software video meetings, the use of video in “awareness” is still very uncommon. Over a 2-year period, we have run 8 discrete Hexagon room studies on naturalistic “ambient video awareness”. Only one of these studies can be considered to be a (limited) success. This paper discusses some of the factors inhibiting the use of such tools in e-learning environments, based on users’ feedback on issues, such as the tool promotion, user interface, size of community and visibility concerns

Networked Individualism of Urban Residents: Discovering the Communicative Ecology in Inner-City Apartment Buildings

Certain patterns of interaction between people point to networks as an adequate conceptual model to characterise some aspects of social relationships mediated or facilitated by information and communication technology. Wellman proposes a shift from groups to networks and describes the ambivalent nature inherent in an ego-centric yet still well-connected portfolio of sociability with the term ‘networked individualism’. In this paper we use qualitative data from an action research study of social networks of residents in three inner-city apartment buildings in Australia to provide empirical grounding for the theoretical concept of networked individualism. However, this model focuses on network interaction rather than collective interaction. We propose ‘communicative ecology’ as a concept which integrates the three dimensions of "online and offline", "global and local" as well as "collective and networked". We present our research on three layers of interpretation (technical, social and discursive) to deliver a rich description of the communicative ecology we found, that is, the way residents negotiate membership, trust, privacy, reciprocity, permeability and social roles in person-to-person mediated and direct relationships. We find that residents seamlessly traverse between online and offline communication; local communication and interaction maintains a more prominent position than global or geographically dispersed communication; and residents follow a dual approach which allows them to switch between collective and networked interaction depending on purpose and context

TechNews digests: Jan - Nov 2006

TechNews is a technology, news and analysis service aimed at anyone in the education sector keen to stay informed about technology developments, trends and issues. TechNews focuses on emerging technologies and other technology news. TechNews service : digests september 2004 till May 2010 Analysis pieces and News combined publish every 2 to 3 month

An Empirical Study on Android for Saving Non-shared Data on Public Storage

With millions of apps that can be downloaded from official or third-party market, Android has become one of the most popular mobile platforms today. These apps help people in all kinds of ways and thus have access to lots of user's data that in general fall into three categories: sensitive data, data to be shared with other apps, and non-sensitive data not to be shared with others. For the first and second type of data, Android has provided very good storage models: an app's private sensitive data are saved to its private folder that can only be access by the app itself, and the data to be shared are saved to public storage (either the external SD card or the emulated SD card area on internal FLASH memory). But for the last type, i.e., an app's non-sensitive and non-shared data, there is a big problem in Android's current storage model which essentially encourages an app to save its non-sensitive data to shared public storage that can be accessed by other apps. At first glance, it seems no problem to do so, as those data are non-sensitive after all, but it implicitly assumes that app developers could correctly identify all sensitive data and prevent all possible information leakage from private-but-non-sensitive data. In this paper, we will demonstrate that this is an invalid assumption with a thorough survey on information leaks of those apps that had followed Android's recommended storage model for non-sensitive data. Our studies showed that highly sensitive information from billions of users can be easily hacked by exploiting the mentioned problematic storage model. Although our empirical studies are based on a limited set of apps, the identified problems are never isolated or accidental bugs of those apps being investigated. On the contrary, the problem is rooted from the vulnerable storage model recommended by Android. To mitigate the threat, we also propose a defense framework

Online cooperation learning environment : a thesis presented in partial fulfillment of the requirements for the degree of Master of Science in Computer Science at Massey University, Albany, New Zealand

This project aims to create an online cooperation learning environment for students who study the same paper. Firstly, the whole class will be divided into several tutorial peer groups. One tutorial group includes five to seven students. The students can discuss with each other in the same study group, which is assigned by the lecturer. This is achieved via an online cooperation learning environment application (OCLE), which consists of a web based J2EE application and a peer to peer (P2P) java application, cooperative learning tool (CLT). It can reduce web server traffic significantly during online tutorial discussion time