Exploration on A news event broadcast process across several kinds of SNS

Last week, the project group of social media made up of seven people talked about the subject of our task. I proposed a thought which last couldn't be chosen so I choose to record it here since I think it is fairly a nice point for us to learn about social network.

For people living in mainland, the social medias they can land are sina weibo, tecent weibo, baidu tieba and tianya and so on. Another relatively additional media is like sohu.com, which is a type of news broadcasting website. When a news or accident happens, it firstly occurs on one of these social medias and then is broadcast to other medias. During the whole process, the whole concerning degree is significantly increasing and the social media platform which firstly gives the information about this event can get the most clicking number. Another meaningful thing deserving our care is that the core point of the event is changing with time. For example, at first, it is covered that A loves B, some days later, maybe the event may turn into that A loves C. I think it is quite interesting, isn't it?

Rosanna recommends an article called as 'Quantifying social group evolution' which was presented by Palla, G., Albert-Laszlo, Barabasi. and Tamas, V. in 2007, which analyses the broadcasting relation and process among several platforms. I think it is of help for us to learn about the subject of this blog.

To learn about this, not only to find a way for advertisers to promote their products within the shortest time, but also it helps to confirm that the big information century has come. and everyone of us has various kinds of access to the information all around the world.

The storage about some social network

Rosanna introduces the Adjacency Matrix to store the social network in order to fully record the connection between all the users in the corresponding social media. But, when it comes to dealing with the sparse network relation, a fully-filled adjacency matrix with 0 or 1 cannot save the storage space and then influence the time complexity when some needs about updating the whole matrix exist.


Maybe, a binary tree may help to save the statistics on social network. However, this problem is fairly different from that about seeking a shortest routine, when a distance network has been given.


Automatically, the original network database helps to solve this problem. To save the memory when to run a software, the relatively advisable method is that when needing statistics in the database, programmers just need to extract the corresponding data from the database.


I remember that Google have thought of a new data structure to store the net data and published a pdf to describe that. The pity is that I cannot find the material on it.

The link between data mining and graph memory

A large amount of information is created and stored by social medie, from which we can anglyse the preference of people towards something, such as, how they feel or evaluate. A method in data mining  is called aspect-level analysis, which extracts the characaterised aspects or attributes of an entity. Here, I think, is fairly similar with the memorizing method of graph memory.

Take two-dimension code for example. Two-dimension code is invented before 1990 and afterwards in 2012 applied in large-scale among Chinese mobile market by Wechat. There are few people who can memorise the key information of two-dimension code so that they can distinguish one among a group of graphs containing two-dimension codes. The key that these people can realize this is that they extract the key aspects of this kind of code.

Now, let us think about,when we are in our childhood, how our parents teach us to recognize one person from so many people. Undoutedly, our parents teach us to focus on their color and length of hairs, whether wearing glasses, figure and weight, which all are the key-aspect of a person.

We memorize a graph or scene through catching the characters. Data mining is extremely like this.
Algorithms written as a few lines of codes or an application cannot behave well like humans upon extracting all the potential information of a few words. Therefore, what we can do is to analysing the key characters and digitalise these characters so that we can form a more direct image towards the information.

FIRST THOUGHT TOWARDS SOCIAL MEDIA

 

To begin with the deep understangding of this course, we have to distinguish the difference between the social media and social network. From the ppt given by Rosanna, we can conclude that A social network is a social structure consisting of individuals or groups who are connected to each other, for example through friendships. And Social media refers to the internet and mobile technology based channels of communication in which people share content with each other.Another pretty closed concept is the social congnition which refers to the cognitive processes and structures that influence and are influenced by social behaviors.

When one user begins to communicate with another user about some subject, they start to form their understanding and cognition towards this affair. Whether the cognition is right will influence people who are involved in it. After that, in order to get insighted into this phenomenon, some reasons would be given and some theroies would come out.

From my perspevtive, social media are the medias where social network exists. In one network, people form an idea towards one person or thing, and change their idead through their interaction. Take Weibo for example, firstly, people make friends, express their ideas through writing some articles or sending a few photoes with some comments. When others see these articles and get the core information and transfer the word information to their personal thoughts towards ont thing. After that, these comments then can be further broadcast and spreaded. Information exchange is the fundational function of social media.